Journal articles on the topic 'Educational statistics – data processing'
To see the other types of publications on this topic, follow the link: Educational statistics – data processing.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Educational statistics – data processing.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Szreder, Mirosław. "Some new challenges and expectation of statistics." Wiadomości Statystyczne. The Polish Statistician 61, no. 6 (June 28, 2016): 1–9. http://dx.doi.org/10.5604/01.3001.0014.1000.
Full textAbstract:
The article discusses recent research and educational challenges faced by the statistics in the world of fast-growing possibilities of collecting and processing data (Big Data) and the increasingly dominant in social and economic life numerical description of reality. These new phenomena and trends should encourage statisticians’ environment to take action of improving society statistical knowledge needed to critically evaluate and correct interpretation of the survey results.
2
Nur Ghifari, Shafira Zahra, Zahid Mubarok, and Sutisna Sutisna. "DIFFERENCES IN STUDENTS' ABILITY TO RECEIVE AND PROCESS INFORMATION ON EDUCATIONAL STATISTICS COURSES." JURNAL EDUSCIENCE 10, no. 1 (May 28, 2023): 357–70. http://dx.doi.org/10.36987/jes.v10i1.4115.
Full textAbstract:
The ability to receive and process information is included in cognitive abilities. This ability is a basic ability that everyone should have well because almost every day human life is surrounded by information. However, not all individuals can immediately understand the information provided to them, including students. For this reason, this study aims to find out how students' abilities in receiving and processing information in educational statistics courses. In addition, it is also to find out what causes differences in students' abilities in receiving and processing information in educational statistics courses. The method used is a qualitative method with a grounded theory approach. Data collection was carried out by observing, filling out questionnaires, and documentation. The research was conducted in Class PAI 5E FAI UIKA Bogor. The results showed that student's ability to receive and process information in educational statistics courses was quite good. This can be seen from the results of student learning which shows that the average is at A-B grades. The causes of differences in student abilities in receiving and processing information on educational statistics courses are caused by 3 things, namely interest and motivation to learn, focus on learning, and supporting facilities in learning these courses.Keywords: cognitive ability; learning outcomes; educational statistics AbstrakKemampuan menerima dan mengolah informasi termasuk dalam kemampuan kognitif. Kemampuan ini merupakan kemampuan dasar yang seharusnya dimiliki setiap orang dengan baik karena hampir setiap hari kehidupan manusia dikelilingi dengan adanya informasi. Akan tetapi tidak semua individu bisa langsung memahami informasi yang diberikan kepada mereka termasuk mahasiswa. Untuk itu, penelitian ini bertujuan untuk mengetahui bagaimana kemampuan mahasiswa dalam menerima dan mengolah informasi mata kuliah statistika pendidikan. Selain itu juga untuk mengetahui apa penyebab perbedaan kemampuan mahasiswa dalam menerima dan mengolah informasi mata kuliah statistika pendidikan. Metode yang digunakan yaitu metode kualitatif dengan pendekatan grounded theory. Pengambilan data dilakukan dengan melakukan observasi, pengisian kuesioner, dan dokumentasi. Penelitian dilakukan di Kelas PAI 5E FAI UIKA Bogor. Hasil penelitian menunjukkan bahwa kemampuan mahasiswa dalam menerima dan mengolah informasi mata kuliah statistika pendidikan dapat dikatakan cukup baik. Hal ini dapat dilihat dari hasil belajar mahasiswa yang menunjukkan rata-rata berada pada nilai A-B. Adapun penyebab perbedaan kemampuan mahasiswa dalam menerima dan mengolah informasi mata kuliah statistika pendidikan disebabkan oleh 3 hal yaitu minat dan motivasi belajar, fokus belajar, serta fasilitas penunjang dalam pembelajaran mata kuliah tersebut.Kata kunci:Kemampuan kognitif, hasil belajar, statistika pendidikan
3
Pečiuliauskienė, Palmira. "Application of Statistical Methods in Education Sciences: the Didactical Principles in the Educational Means Prepared by Bronislovas Bitinas." Pedagogika 124, no. 4 (December 2, 2016): 47–57. http://dx.doi.org/10.15823/p.2016.50.
Full textAbstract:
Based on works of professor B. Bitinas this article analyses educational materials on applying statistical methods in education sciences. The educational materials on applying statistical methods in education sciences can be classified into two groups: methodological group (the application of mathematical statistics in quantitative research) and technological group (computer software for processing quantitative research data). The article analyses application of didactical principles in the methodological group and the technological group.
Didactical principles provide direction for learning process and govern contents, methods and organisation of learning. Different didactical principles can be used when preparing educational materials on the applying statistical methods in education as principle of the availability and principle of relation between the theory and practise.
Application of statistical methods in education sciences is influenced by technological tools used for processing statistical data. These tools changed from electronic calculating machines (ECM) to modern computers with modern statistical programs. Technological change influences didactical principles applied for preparing educational materials on applying statistical methods in education sciences.
The comparative analysis of learning materials on applying statistical methods in education sciences prepared by Professor B. Bitinas shows that the principle of availability was an important principle at the time of the processing statistical data using the ECM. This principle is less important when statistical data is processed using modern statistical computer programs. Didactical principle of the relation between theory and practice was important in the early (the eighth-ninth decade of XX century) and later stages (the twentyfirst century.)
Professor B. Bitinas prepared both methodological (the usage of mathematical statistics into quantitative research) and technological (computer software for quantitative research data processing) learning means. The didactical principles in the methodological and technological learning means are different. The principle of the availability and the principle of relation between the theory and practise dominate in the methodological learning means. The principle of systematization and continuity is important in technological learning means.
4
KRASNOZHON, O. B., and V. V. MATSIUK. "КОМП’ЮТЕРНО-ОРІЄНТОВАНІ ЕЛЕМЕНТИ НАВЧАННЯ МАТЕМАТИЧНИХ ДИСЦИПЛІН МАЙБУТНІХ УЧИТЕЛІВ МАТЕМАТИКИ." Scientific papers of Berdiansk State Pedagogical University Series Pedagogical sciences 1, no. 2 (October 4, 2021): 255–62. http://dx.doi.org/10.31494/2412-9208-2021-1-2-255-262.
Full textAbstract:
The article is devoted to the issues of constructing effective computer-oriented components of the methodological system of teaching the disciplines «Linear Algebra» and «Probability Theory with Elements of Mathematical Statistics» provided for in the educational and professional program «Secondary Education (Mathematics)» of the first level of higher education in the specialty 014 Secondary Education (Mathematics). The article analyzes the methodological aspects of the effective organization of computations when finding the angle between a given vector and a nonzero subspace of Euclidean space, as well as using the least squares method for processing experimental data. The theoretical and practical information known to students-mathematicians from the corresponding sections of these academic disciplines is briefly presented. Analyzed educational, methodological and scientific literature used in teaching linear algebra and probability theory with elements of mathematical statistics; the expediency of using computer-oriented elements of teaching mathematical disciplines of future mathematics teachers has been substantiated. The authors proposed the use of computer-oriented learning elements in the processing of the content of disciplines and the development of test tasks of different levels of complexity in linear algebra and probability theory with elements of mathematical statistics in order to objectively assess the level of students' knowledge and timely correct individual educational trajectories. The article provides examples of the application of computer-oriented elements of teaching linear algebra and probability theory with elements of mathematical statistics, and also analyzes the methodological features of the organization of calculations in the software mathematical environment Mathcad. The methodological and practical materials presented in the article can be useful for students to organize and activate independent scientific and pedagogical activities, teachers of secondary educational institutions, heads of optional and circle work of students, teachers of linear algebra and probability theory courses with elements of mathematical statistics of pedagogical higher educational institutions. Key words: methods of teaching mathematics, computer-oriented elements of teaching mathematics, linear algebra, probability theory, mathematical statistics, Euclidean space, non-zero subspace of Euclidean space, least squares method.
5
Soroko, N. V., and M. A. Shynenko. "Monitoring electronic educational and scientific resources using Google Analytics." CTE Workshop Proceedings 1 (March 21, 2013): 95–96. http://dx.doi.org/10.55056/cte.144.
Full textAbstract:
Currently, many scientific resources are created electronically. Such resources include: documents; electronic publications; electronic catalogs; pictures and images in different formats; audio, video, animation; digital maps and cartographic materials; computer programs, etc. It becomes important to analyze their relevance and the need for the development of science and education. Therefore, the problem of monitoring these resources arises.Google Analytics is a product of Google, which is part of the services called "cloud computing" (Cloud Computing).Cloud Computing is a data processing technology in which a software tool is provided to the user as an Internet service. For example, Google Analytics is a free service offered to create detailed statistics of website visitors.
6
Haryati, Haryati, Muhammad Nur Akbar Rasyid, Sitti Mania, and Supardi Widodo. "Evaluasi Pembelajaran Statistik Pendidikan di STAI Al Khairaat Labuha dengan Model Evaluasi Discrepancy dan Kirkpatrick." PALAPA 11, no. 1 (May 1, 2023): 426–45. http://dx.doi.org/10.36088/palapa.v11i1.3251.
Full textAbstract:
This study is aimed to evaluate the learning of Educational Statistics Course at PAI Study Program of STAI Alkhairaat Labuha, Ternate. This is evaluation research, employing the combination of Discrepancy and Kirkpatrick Evaluation Model. The study employed mixed methods involving questionnaires, observation, and documentation. The case study method was used, which included total sampling of 14 students. The research results reveal several significant findings: To begin with, the learning gap for Educational Statistics Course for the 2022/2023 Academic Year is relatively small with 11.57%. Second, the lecturers have pedagogical competence and high professionalism in the student's perspectives. This is indicated by the findings that the gap of pedagogical and professional competence is extremely small with 8.35% and 4.20% respectively. Third, the use of Mastery Learning approach to teach Educational Statistics is considered effective and making Google forms and applications to collect data directly from respondents and data processing procedures provides the most effective learning experience for students. The researchers made the following recommendations: firstly, lecturers should design well-developed and structured lesson plans, and enhance student learning with practical skills to make learning more successful. Second, lecturers are encouraged to improve their pedagogical skills, particularly in the topics of material distribution, calculating material, and to increase learning for quartile material and research hypotheses. Third, lecturers should continue using the Mastery Learning approach in the teaching of Educational Statistics. Fourth, lecturers are urged to fully enhance students' cognitive, affective, and psychomotor through direct practices and peer collaboration.
7
Ashofteh, Afshin, and Jorge M. Bravo. "Data science training for official statistics: A new scientific paradigm of information and knowledge development in national statistical systems." Statistical Journal of the IAOS 37, no. 3 (September 1, 2021): 771–89. http://dx.doi.org/10.3233/sji-210841.
Full textAbstract:
The ability to incorporate new and Big Data sources and to benefit from emerging technologies such as Web Technologies, Remote Data Collection methods, User Experience Platforms, and Trusted Smart Statistics will become increasingly important in producing and disseminating official statistics. The skills and competencies required to automate, analyse, and optimize such complex systems are often not part of the traditional skill set of most National Statistical Offices. The adoption of these technologies requires new knowledge, methodologies and the upgrading of the quality assurance framework, technology, security, privacy, and legal matters. However, there are methodological challenges and discussions among scholars about the diverse methodical confinement and the wide array of skills and competencies considered relevant for those working with big data at NSOs. This paper develops a Data Science Model for Official Statistics (DSMOS), graphically summarizing the role of data science in statistical business processes. The model combines data science, existing scientific paradigms, and trusted smart statistics, and develops around a restricted number of constructs. We considered a combination of statistical engineering, data engineering, data analysis, software engineering and soft skills such as statistical thinking, statistical literacy and specific knowledge of official statistics and dissemination of official statistics products as key requirements of data science in official statistics. We then analyse and discuss the educational requirements of the proposed model, clarifying their contribution, interactions, and current and future importance in official statistics. The DSMOS was validated through a quantitative method, using a survey addressed to experts working at the European statistical systems. The empirical results show that the core competencies considered relevant for the DSMOS include acquisition and processing capabilities related to Statistics, high-frequency data, spatial data, Big Data, and microdata/nano-data, in addition to problem-solving skills, Spatio-temporal modelling, machine learning, programming with R and SAS software, Data visualisation using novel technologies, Data and statistical literacy, Ethics in Official Statistics, New data methodologies, New data quality tools, standards and frameworks for official statistics. Some disadvantages and vulnerabilities are also addressed in the paper.
8
Salsabila, Nilza Humaira, Ulfa Lu’luilmaknun, Dwi Novitasari, Ratna Yulis Tyaningsih, and Riska Ayu Ardani. "GAME EDUKASI PADA PEMBELAJARAN MATEMATIKA: TANGGAPAN SISWA SMP BERDASARKAN GENDER." Mathematic Education And Aplication Journal (META) 2, no. 1 (October 15, 2020): 25–32. http://dx.doi.org/10.35334/meta.v2i1.1632.
Full textAbstract:
AbstractThe use of media in mathematics learning can help students to learn more easily. One of them is educational game media. The study aims to describe the responses of junior high school students based on gender to learn mathematics by using educational game media. The subjects of this study were 7thand 8thgrade of junior high school students in Mataram-West Nusa Tenggara, a total of 101 students. Study data were obtained from a questionnaire about the use of educational games in mathematics classes. Study data processing using descriptive statistics, qualitative methods. The results of the study show that there are differences in responses between male and female students, towards: fun learning and increased motivation using media games and missions in educational games.Keywords: Edukasi, Game, Gender, MathematicsAbstrakPenggunaan media pada pembelajaran matematika dapat membantu siswa untuk lebih mudah belajar. Salah satunya media game edukasi. Adapun studi ini bertujuan untuk mendeskripsikan tanggapan siswa SMP berdasarkan gender terhadap pembelajaran matematika dengan menggunakan media game edukasi. Subjek penelitianini adalah siswaSMP kelas 7 dan 8 di Mataram-Nusa Tenggara Barat sebanyak 101 siswa. Data studi diperoleh dari kuesioner tentang penggunaan game edukasi di kelas matematika.Pengolahan data studi menggunakan statistic deskriptif ,metode kualitatif. Hasil studi menunjukkan bahwa terdapat perbedaan tanggapan antara siswa laki-laki dan perempuan, terkait: pembelajaran yang menyenangkan dan motivasi yang meningkatdenganmenggunakan media game, serta misi pada game edukasi.Kata kunci: Education, Game, Gender, Matematika
9
Susilawati, Sumarni. "Analysis of Motivation and Interests of Arabic Language Education Students at Unismuh Makassar in Educational Statistics Subject." Journal of Mathematics and Applied Statistics 1, no. 1 (May 30, 2023): 38–41. http://dx.doi.org/10.35914/mathstat.v1i1.41.
Full textAbstract:
Education statistics subject is one of the compulsory subjects for students majoring in education which is often avoided by many students. Students tend to have a negative attitude towards subjects related to numbers and calculations. Based on the observation results of Arabic Language Education student exam results, there are still many students who have not been able to describe or analyze the results of data processing. Thus, research was conducted regarding the interest and motivation of Arabic Language Education students in the Education Statistics subject. The research method used is the questionnaire method to measure aspects of interest and talent, aspects of learning readiness, and learning support facilities. So the results obtained from the study were that 85.7% of students liked the Education Statistics subject, and prepared the media to record material well. The presence of lecturers in the room also affects student enthusiasm for learning. It's just that the enthusiasm for student learning has not been supported by adequate facilities.
10
Nursyabani, Akbar, Tajuddin Tajuddin, and Nur Astuti Darmiyanti. "PENINGKATAN EDUCATIONAL QUALITY ASSURANCE (EQA) MELALUI SARANA DAN PRASARANA DI LEMBAGA PENDIDIKAN ISLAM MADRASAH TSANAWIYAH NEGERI 4 KARAWANG." Jurnal Pendidikan dan Pengajaran Guru Sekolah Dasar (JPPGuseda) 4, no. 2 (July 14, 2021): 154–58. http://dx.doi.org/10.55215/jppguseda.v4i2.3618.
Full textAbstract:
IMPROVING EDUCATIONAL QUALITY ASSURANCE THROUGH FACILITIES AND INFRASTRUCTURE AT ISLAMIC EDUCATION INSTITUTIONS MADRASAH TSANAWIYAH NEGERI 4 KARAWANG Educational facilities and infrastructure are an important part of achieving a maximum quality of education, the minimum standard of facilities and infrastructure for MTs or SMP is contained in the Regulation of the Minister of National Education number 19 of 2005. This study aims to empirically determine the effect of management of facilities and infrastructure on quality of education services at Madrasah Tsanawiyah Negeri 4 Karawang. In this study, the authors used the quantitative method with statistical processing using the Spss V.18 software with multiple linear regression formulas, because the independent variables in this study were double or two. Collecting data using observation techniques, documentation and questionnaire instruments / questionnaire with a Likert scale method of 1 to 4. The population of this study were all teachers and staff, totaling 49 people, with a sample size of 44 respondents. Sampling using purposive sampling technique, while the data analysis technique using descriptive statistics, inferential statistics using multiple linear regression consulted using correlative statistics. The results of data processing can be concluded that simultaneously the management of facilities and infrastructure has a significant effect on the quality of education services with the results of the F test of 1228.07 which is interpreted to the F table of 3.2, then F count F table. While the correlation coefficient value obtained is 0.996, if interpreted to the guideline table for the correlation analysis scale, it has a very strong relationship level of 99.6%. Thus it can be argued that the management of facilities and infrastructure greatly affects the quality of education services at MTsN 4 Karawang in the 2020/2021 school year.
11
Davletshina, L. A., and M. V. Karmanov. "On Current Challenges to Russian Statistics." Voprosy statistiki 29, no. 3 (July 6, 2022): 93–99. http://dx.doi.org/10.34023/2313-6383-2022-29-3-93-99.
Full textAbstract:
The article covers fundamental challenges to statistics that affect activities related to the collection, processing, analysis and interpretation of information about socio-economic phenomena and processes. The paper focuses on the staffing situation in scientific, educational and management spheres in modern Russia. According to the authors, there is currently a shortage of personnel with basic education in statistics. This is caused, on one hand, by the fact that the number of educational institutions that train these specialists, and in fact have relevant departments, is decreasing, on the other hand – by the process of aging and irreplaceable natural loss of scientists, teachers and statisticians. Decline in professional competence is closely linked to the low and declining statistical literacy of the population, which also leads to disorientation while solving household tasks.No less urgent challenge to contemporary statistics is the distrust of the population in statistical data, the accusation of deliberately concealing the truth and sugarcoating the reality. This reaction can result from the population’s lack of motivation to study and understand the actual processes taking place – given the availability of a wide range of statistical data and methodological explanations. This resulted, in the authors’ opinion, in a new challenge which has spread amidst almost unlimited access to the Internet for various population strata and the free formation of content in their social networks and pages. External and internal political manipulation is often carried out through the dissemination of fake information, which is also a serious challenge to the institute of state statistics.The article concludes that an impartial consideration of the challenges that domestic statistics is facings, development of directions for addressing the issues encountered and promotion of genuine achievements (with media coverage) allow to tackle the adverse impact on the public of misinformation and false information about socio-economic phenomena in the country as a whole and its regions.
12
Yu.A., Mala, Selivorstova T.V., and Guda A.I. "ВИКОРИСТАННЯ ТЕХНОЛОГІЇ ORANGE ДЛЯ ІНТЕЛЕКТУАЛЬНОГО АНАЛІЗУ ДАНИХ В ОСВІТНІЙ ГАЛУЗІ." System technologies 3, no. 152 (April 17, 2024): 115–27. http://dx.doi.org/10.34185/1562-9945-3-152-2024-12.
Full textAbstract:
The growth of data volumes due to the intensive development of information tech-nology creates a need for highly efficient methods of data processing and analysis for the effective management of various types of organizations, as well as for strategic planning and market competitiveness. Such methods of data processing and analysis are methods of data mining. One of the most promising areas of application of data mining methods is in the education sector. The development of e-learning systems and the introduction of digital technologies into the traditional educational process leads to the emergence of large amounts of information, which are studied by the intellectual analysis of educa-tional data (IAED), a scientific discipline related to the application of data mining meth-ods to information produced by educational institutions. The relevance of the topic is due to the need to improve the quality of the educational process by identifying hidden pat-terns in the array of educational data, and the need for further development of this area in modern conditions is shown. The paper shows that among the available software, Orange technologies are effec-tive and easy to use, the main purpose of which is to make complex analytical methods accessible to a wide range of users, including those who do not have deep knowledge of programming or statistics. As an example, a scheme for analyzing educational data is built to demonstrate the effective use of the Orange visual programming tool for researching educational data us-ing data mining methods, which allows specialists in the field of education to conduct a qualitative analysis and then use the results obtained in developing strategies to ensure an effective learning process and educational development.
13
Petruk, Vira, Olena Prozor, Yuliia Sabadosh, Iryna Baranovska, Maksim Palii, Yevheniia Moroz, Saule Kumargazhanova, and Dinara Mussayeva. "STATISTICAL METHODS FOR EVALUATING EXPERIMENTAL DATA ON THE USE OF MATHEMATICAL COMPETENCIES IN STUDY FOR A RESILIENT ECONOMY." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 13, no. 2 (June 30, 2023): 78–85. http://dx.doi.org/10.35784/iapgos.3504.
Full textAbstract:
The description of the problems, solved within the statistics evaluation of the results of educational (pedagogical) experiment in resilient economy is given. Comparison of the two average samplings and hypothesis verification relative to dispersions of the two samplings are considered. It is shown the hypothesis that teaching and methodical training system of subjects of higher mathematics in technical universities, suggested on the base of the modern interactive technologies, significantly improves the quality of the base level of professional competence of future engineers. The methods for statistical processing of the obtained results, which very thoroughly research all the indexes which compose the suggested learning and methodical system for teaching higher mathematics in technical universities are used.
14
Malykhin, Oleksandr, Nataliia Aristova, and Vasyl Kovalchuk. "INVESTIGATION INTO OPEN EDUCATIONAL RESOURCES FOR LEARNING ENGLISH IN DEVELOPING FUTURE PHILOLOGISTS’ INSTRUMENTAL VALUES." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 3 (May 21, 2019): 512. http://dx.doi.org/10.17770/sie2019vol3.3833.
Full textAbstract:
The authors present the results of the research carried out in the 2016/2018 academic years among 338 students earning BA in the English language and literature regarded in our study as future philologists. Experimental work was conducted at four higher educational institutions in Ukraine. The aim of the study was to find out the influence of open educational resources for learning English on the development of future philologists’ instrumental values. We used methods of mathematical statistics, computer data processing and a descriptive method for interpreting experimental data. The authors theoretically substantiate and practically prove the efficiency of the use of open educational resources for learning English which influence the development of future philologists’ instrumental values necessary for adequate evaluating own activity and meeting various real-life and professional challenges. These open educational resources are The Internet Encyclopedia of Ukraine, Encyclopedia Britannica, The Cambridge History of English and American Literature, Learn English. The results obtained in the experimental and control groups are compared and conclusions on the efficiency of the use of open educational resources for learning English in the educational process of higher education institutions in the context of development of future philologists’ instrumental values are drawn.
15
Konnikov, Evgeny A., Olesya D. Starchenkova, and Ekaterina V. Burova. "THE INFLUENCE OF SOCIO-PSYCHOLOGICAL CONTEXT ON THE EDUCATIONAL ENVIRONMENT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/8, no. 141 (2023): 147–59. http://dx.doi.org/10.36871/ek.up.p.r.2023.12.08.012.
Full textAbstract:
The relevance of this topic is due to the subtle mental organization of adolescents and the influence of social and informational factors and factors of the educational environment on it. By external factors, the authors mean psychological triggers and other factors that indirectly or directly affect the psychological state of students. The purpose of the work is to identify the most significant factors of the socio-psychological environment, as well as determine their influence on the level of education in the region. The article provides the results of an analysis of the significance of these factors, carried out a procedure for assessing the quality of the constructed equations, and derived patterns in the dynamics of the indicator “number of universities” and “proportion of graduates who did not receive a certificate of secondary education. Mathematical and statistical data processing was carried out using the KNIME Analytics Platform. The source of the statistical database is the Federal State Statistics Service (EMISS). Data on the indicators were collected for 81 constituent entities of the Russian Federation in 2019 and can be conditionally divided into two groups: education and psychology.
16
Aoyama, Kazuhiro. "Development of data science education curriculum to foster intellectual information creativity." Impact 2021, no. 2 (February 26, 2021): 11–13. http://dx.doi.org/10.21820/23987073.2021.2.11.
Full textAbstract:
Technology has certainly played a role in our ability to collect and store mountains of data on everything from traffic patterns, shopping habits and health outcomes. And, advances in algorithms and computing power have allowed us to analyse this data more quickly. But data is only as useful as the questions being asked and analysed. For this reason, researchers at Aichi University of Education in Japan are working to revamp the way data analysis and statistics are taught to students. Their goal is to provide students with a better understanding of the power of data and statistical analyses and go beyond simply calculating stats and returning the correct answers on exams.<br/> Professor Kazuhiro Aoyama is working with colleagues, including Professor Yoshinori Fujii of University of Miyazaki and Professor Yuichi Oguchi of Ibaraki University, to develop a new educational curriculum for data analysis and statistics and test it in classrooms all over Japan.<br/> The goal of the new curriculum being tested in classrooms revolves around a concept called intellectual information creativity. This concept reflects a student's ability to use their imagination when confronted with a dataset in order to make sense of and interpret the characteristics of the data. In an era when data processing can be done quickly with software, it is necessary for human beings to find meaning from data and education should teach students to engage in activities to discover new information.
17
Vinogradova, Mariya V., Alexei A. Maksakov, Alexei E. Samokhvalov, and Irina A. Smolyakova. "METHODOLOGY FOR ANALYZING OPEN DATA OF SELECTIVE FEDERAL STATISTICAL OBSERVATION ON THE TOPIC OF INFORMATION SECURITY OF STUDENTS." RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, no. 4 (2022): 8–20. http://dx.doi.org/10.28995/2686-679x-2022-4-8-20.
Full textAbstract:
The authors of the article have developed a methodology for processing questionnaires of selective federal statistical observation on the use of information technologies and information and telecommunication networks by the population, including on the topic of ensuring information security of children by parents. The following stages of the process are highlighted: parsing an xml file, preparing dataframes, verifying data, selecting indicators for research and analyzing information. The software implementation of the technique is performed in Python using the Pandas library. The errors identified during the verification and standardization of the data set are of practical importance for making recommendations to Rosstat on the organization of format-logical control when uploading survey results. Analysis of the results of statistical observation for 2021 showed that parents do not use computer and mobile device protection software that blocks attempts by schoolchildren to visit unwanted sites and pages on social networks. Based on the author’s approach, it is proposed to develop a unified technology for analytical processing of open data on sociological surveys conducted by the Federal State Statistics Service. The methodology can be used not only for scientific analytical research, but also for educational purposes as a practical textbook for the courses “Information Analytics”, “Intelligent Information Systems” and others.
18
Díaz, Alba Milena Ríos, Carmen Helena Romero Díaz, Olga Novikova, Maigualida Zamora, Nelson Eduardo Castaño Giraldo, and César Ernesto Zapata Molina. "Public Policies of Bilingualism towards Social Peace." International Journal of Membrane Science and Technology 10, no. 3 (August 7, 2023): 927–37. http://dx.doi.org/10.15379/ijmst.v10i3.1630.
Full textAbstract:
The objective of this study is to analyze bilingualism in Colombian educational public policies and academic management committed to healthy coexistence and social peace in elementary and middle school education. It is mixed research, and the data processing techniques are textual analysis of written documents and descriptive statistics of data from surveys applied to teachers. The main findings explain that public bilingualism policies do not achieve satisfactory results due to the lack of procedures that involve the different actors of the educational system. The bilingual curriculum represents the means of implementation of these policies in the educational institution and urgently requires an update that includes its actors recognizing their needs, where shared learning represents a vital foundation for socialization from the classroom, guaranteeing the development of communicative skills among different groups of students and promoting harmonious coexistence that sustains social peace. Public policies for bilingualism require updating with strategies and trained human capital for the development of a curriculum that facilitates its effectiveness, considering learning as a promoter of social peace.
19
Pujirahayu, Endang Retno, Sutikno Sutikno, and Nur Hidayat. "The Influence of Online Attendance System and Work Discipline on The Performance of Educational Staff in Universitas Negeri Semarang." Management Analysis Journal 12, no. 4 (December 20, 2023): 485–96. http://dx.doi.org/10.15294/maj.v12i4.73506.
Full textAbstract:
This research is aimed at understanding the influence of the online attendance system and work discipline on the performance of educational staff at Universitas Negeri Semarang (UNNES). The sampling technique employed in this research is random sampling, where the researcher randomly took samples without considering the variety of the population’s background. There were 140 (20%) Educational Staff in UNNES taken as the samples of this research. This research features a quantitative approach where the primary data were obtained from surveys through questionnaires distributed to the respondents. The data analysis and processing utilised the regression equation in the SPSS, a statistics software.
The problems underlying this research are formulated as follows: Do the online attendance system and work discipline significantly influence the performance of educational staff in Universitas Negeri Semarang?
The result shows that the main factor influencing employees' work performance in UNNES is work discipline. The implementation of an online attendance system has minimum influence on employees’ performance. Online attendance systems, followed by work discipline, directly had a more significant impact than merely the online attendance systems.
20
Korotkov, Mikhail G., and Aleksey A. Petrov. "About some approaches for converting test scores into grades." Yugra State University Bulletin 19, no. 2 (July 19, 2023): 9–16. http://dx.doi.org/10.18822/byusu2023029-16.
Full textAbstract:
Subject of research: Computer testing for evaluating the results of mastering an academic discipline in a higher educational institution.
Purpose of research: The problem of subjectivity in determining threshold values when translating test scores (from 0 to 100) into the usual five-point scale of marks.
Methods and objects of research: It is proposed to use methods of mathematical statistics for processing test results data in determining the threshold values of test scores.
Main results of research: The approaches currently used in practice are considered and evaluated. Variants of alternative approaches to solving the problem are proposed.
21
D.Kavin Kumar and Ms.S.Kavitha. "A SURVEY ON ANALYSIS AND PREDICTION OF DATA USING DATA SCIENCE." international journal of engineering technology and management sciences 7, no. 2 (2023): 581–97. http://dx.doi.org/10.46647/ijetms.2023.v07i02.068.
Full textAbstract:
Intelligent technology development is gaining traction in the sphere of education. The increasing rise of educational data suggests that standard processing methods may be limited and distorted. As a result, rebuilding data mining research technologies in the education industry has become necessary. Becoming more visible To avoid erroneous assessment findings and to anticipate students' future performance, this research analyses and predicts students' academic achievement using applicable clustering, discriminating, and convolution neural network theories. To begin, this work suggests that the clustering-number determination be optimized by employing a statistic that has never been employed in the K-means approach. The clustering impact of the K-means method is next assessed using discriminate analysis. The Convolutional neural network is presented for training and testing with labeled data. The produced model can be used to forecast future performance. Finally, the efficacy of the constructed model is tested using two metrics in two cross validation procedures in order to validate the prediction findings. The experimental findings show that the statistic not only addresses the objective and quantitative problem of determining the clustering number in the K-means method, but also enhances the predictability of the outcomes.
22
Solorzano Alcivar, Nayeth I., Robert Loor Zambrano, Stalyn Gonzabay Yagual, and Boris X. Vintimilla Burgos. "Statistical Representations of a Dashboard to Monitor Educational Videogames in Natural Language." SHS Web of Conferences 77 (2020): 05003. http://dx.doi.org/10.1051/shsconf/20207705003.
Full textAbstract:
This paper explains how Natural Language (NL) processing by computers, through smart programs as a way of Machine Learning (ML), can represent large sets of quantitative data as written statements. The study recognized the need to improve the implemented web platform using a dashboard in which we collected a set of extensive data to measure assessment factors of using children’s educational games. In this case, applying NL is a strategy to give assessments, build, and display more precise written statements to enhance the understanding of children’s gaming behavior.We propose the development of a new tool to assess the use of written explanations rather than a statistical representation of feedback information for the comprehension of parents and teachers with a lack of primary level knowledge in statistics. Applying fuzzy logic theory, we present verbatim explanations of children’s behavior playing educational videogames as NL interpretation instead of statistical representations. An educational series of digital game applications for mobile devices, identified as MIDI (Spanish acronym of “Interactive Didactic Multimedia for Children”) linked to a dashboard in the cloud, is evaluated using the dashboard metrics. MIDI games tested in local primary schools helps to evaluate the results of using the proposed tool. The guiding results allow analyzing the degrees of playability and usability factors obtained from the data produced when children play a MIDI game. The results obtained are presented in a comprehensive guiding evaluation report applying NL for parents and teachers. These guiding evaluations are useful to enhance children’s learning understanding related to the school curricula applied to ludic digital games.
23
Slavutskaya, E. V., and L. A. Slavutskii. "Error analysis of machine learning methods as the educational background for its use skills formation." Vestnik of Minin University 12, no. 2 (June 20, 2024): 4. http://dx.doi.org/10.26795/2307-1281-2024-12-2-4.
Full textAbstract:
Introduction. Machine learning methods and elements of artificial intelligence are used to analyze random data, processes and signals. The study of relevant tools is already included in the various levels curricula. The purpose of the study is to demonstrate, using examples available to students of various specialties, that the error analysis of machine learning methods in solving specific tasks can be the basis in the educational process for the skills formation of using artificial intelligence elements.Materials and Methods. For processing random signals and data, widely available software is used: Microsoft Excel for preparing training and test samples, the Deductor analytical platform for implementing machine learning algorithms. As an example, quasi-harmonic signals with random parameters are processed for technical specialties, and the results of psycho diagnostics are used to process multidimensional random data.Results. As a typical solution of approximation technical problems, direct propagation neural network errors in using to determine random signal parameters are analyzed. As a solution of classification problems, multidimensional random data with different dimensions were processed using neural networks and the "decision tree" method. The advantages of the combined use of these two machine learning methods are analyzed. These examples and their analysis were tested in classes with university students in the disciplines of "Digital Signal Processing" and "Fundamentals of Statistics".Discussion and Conclusions. The statistical features of the obtained results, the possibilities of reducing the training sample and selective analysis of multidimensional random data are discussed. It is shown that an adequate assessment of the machine learning methods errors can significantly expand the possibilities of their application, and can be the basis for the formation of skills for their use.
24
Chsherbakova, Yelena, Elena Burdina, Sholpan Alimova, and Kainysh Zhumadirova. "Developing psychologist attributes in higher educational institutions: case of Kazakhstan." International Journal of Evaluation and Research in Education (IJERE) 13, no. 3 (June 1, 2024): 1502. http://dx.doi.org/10.11591/ijere.v13i3.27908.
Full textAbstract:
This study’s purpose is to identify the most necessary attributes of a modern psychologist through a survey of practical psychologists, teachers, and students from the Faculty of Psychology, Toraigyrov University. The survey allowed us to develop an effective training program for psychologists. The study involved 115 respondents from Kazakhstan, 60 of them were future psychologists. The respondents took the survey to determine the key attributes of a modern psychologist. The research was also based on literature analysis and generalization, questionaries, and ranking. The Cronbach’s alpha coefficient was utilized to assess the reliability of the authors’ questionnaire items. SPSS Statistics program was applied for statistical data processing. According to the results, 80% of practical psychologists wanted to improve the curriculum for their students. At the same time, 72% of students believe that the program should primarily be practice-oriented. The students unanimously noted the key quality of the psychologist–empathy. The vast majority (94.1%) mentioned moral principles, and 85.7% indicated authenticity. However, teachers and psychologists did not emphasize the above criteria. The current study aims to develop a basis for an effective training program for future psychologists studying at the universities of Kazakhstan according to their modern needs.
25
Kurgansky, V. ""GEOPHYSICAL RESEARCHES OF MINING HOLES" – 50 YEARS AT TARAS SHEVCHENKO NATIONAL UNIVERSITY OF KYIV." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 1 (84) (2019): 89–94. http://dx.doi.org/10.17721/1728-2713.84.13.
Full textAbstract:
Development of carotage (retrospective years 1969-2019) at Taras Shevchenko National University of Kyiv is described. Basic achievements are shown in educational and scientific directions. Carbonate rocks methodology study problems, petrophysical models which allowed building physically well-founded dependences of "core-core", "core-geophysics", "geophysics- geophysics" type are described. Petrophysical simulation, theory of probability and mathematical statistics methods allowed the author to work out a complex system of data processing and interpretation in welllogging. Current status and tendency in dataware drilling process of the deep oil and gas wells are examined. Absolutely new ideology of operative getting of the reliable directional survey data without special logging services (telesystem in the process of drilling, autonomous inclinometer and other) is proposed.
26
Likhacheva, Elena Andreevna. "FEATURES OF VALUE AND SENSE ATTITUDES TO EDUCATIONAL ACTIVITIES IN FUTURE TEACHERS." Психология. Психофизиология 13, no. 4 (January 11, 2021): 58–67. http://dx.doi.org/10.14529/jpps200407.
Full textAbstract:
Background: At the moment, in educational psychology, questions of training future teachers remain relevant. The same is for the formation of not only professional competencies but also the system of value and sense attitudes of a teacher to his/her educational activities. Aim: The paper aims to study the structure of value and sense attitudes of future teachers (on the example of university students). Materials and methods: the study involved first-year students of the South Ural State Humanitarian Pedagogical University and the Bashkir State Pedagogical University named after M. Akmullahs aged from 17 to 18 years (n = 140, 118 females and 22 males). The following psychodiagnostic methods were used: meaning-life orientations test by D.A. Leontiev; value orientations method by M. Rokich; system of vital meanings by V.Yu. Kotlyakova modified by D.S. Ermakov. Mathematical and statistical processing: descriptive statistics and factor analysis were carried out using the IBM SPSS Statistics v. 23 statistical software package. Results: the indicators of meaning-life orientations, the ranking position of terminal and instrumental values, as well as the prevailing categories of life meanings were revealed. In the structure of value and sense attitudes of future teachers, 4 factors are identified that describe the students' ability to formulate their personal meanings, correlate them with the interests of society and their future profession. Conclusion: the data obtained allow to analyze the structure of value and sense attitudes of future teachers. The peculiarity of their educational activity is closely connected with a teacher’s perception of his/her importance and value in society.
27
Guliyash, Niyazova, Aibergen Aikumis, Menlibekova Gulbakhyt, and Kopishev Eldar. "Development of a quality management monitoring system for social and pedagogical educational programs." International Journal of Innovative Research and Scientific Studies 7, no. 2 (March 13, 2024): 795–803. http://dx.doi.org/10.53894/ijirss.v7i2.2895.
Full textAbstract:
This paper underscores the pressing need to address educational challenges in Kazakhstan. The government's educational system development policy seeks to comprehensively modernize education across all levels emphasizing innovative teaching methods and tools. A crucial responsibility that necessitates the development of effective procedures and methods is ensuring the efficacy of educational programmes. This research employs both theoretical methods (such as analysis, generalization and classification) and empirical methods (including surveys and mathematical statistics) to investigate this topic. The statistical significance of the results can be determined by applying the student's t-test after the survey data has undergone mathematical processing. This rigorous approach adds credibility to the findings and enhances the reliability of the research. This paper posits that internal monitoring of educational programs yields significant insights into educational quality. This approach evaluates indicators related to student satisfaction and learning outcomes, recognizing that program quality is dynamic and influenced by evolving educational needs, teacher competence and material and technical infrastructure. In a nutshell, educational program monitoring assumes a pivotal role in enhancing the quality of education in Kazakhstan. This monitoring system contributes to continuous efforts to modernize and align the education system with changing demands and standards by evaluating learning results and student satisfaction. This provides valuable information for programme enhancement.
28
Mackenzie, Cory. "Effects of Bilingualism on Cognitive Processing." European Journal of Linguistics 3, no. 1 (March 28, 2024): 1–12. http://dx.doi.org/10.47941/ejl.1767.
Full textAbstract:
Purpose: The general purpose of the study was to examine the effects of bilingualism on cognitive processing.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings reveal that there exists a contextual and methodological gap relating to the effects of bilingualism on cognitive processing. Preliminary empirical review revealed that bilingualism is associated with cognitive advantages, such as enhanced attentional control, executive function, and working memory capacity. Through a review of existing literature, it was found that bilingual individuals often outperform monolinguals in cognitive tasks, supporting the Bilingual Advantage Theory. Additionally, evidence suggested that bilingualism may contribute to a slower rate of cognitive decline in older age. These findings have implications for educators, policymakers, and healthcare professionals, highlighting the potential benefits of promoting bilingual education and language preservation efforts.
Unique Contribution to Theory, Practice and Policy: The Bilingual Advantage theory, Neuroplasticity and Cognitive Reserve theory may be used to anchor future studies on bilingualism and cognitive processing. The study made significant contributions to theory, practice, and policy. It supported the Bilingual Advantage Theory by demonstrating enhanced cognitive processing abilities in bilingual individuals. Recommendations included further exploration of underlying mechanisms, tailored interventions in educational and clinical settings, and policies supporting bilingual education and language diversity. These findings and recommendations aimed to advance understanding of bilingualism's cognitive benefits, inform practice in education and healthcare, and influence policy development for promoting linguistic diversity and cognitive development.
29
Abitov, Ruslan Nazilovich, and Rais Semigullovich Safin. "Analysis of the effectiveness of clustering algorithms for multimodal samples using computer simulation of an educational experiment." Science for Education Today 14, no. 2 (April 30, 2024): 125–51. http://dx.doi.org/10.15293/2658-6762.2402.06.
Full textAbstract:
Introduction. The article is devoted to the problem of primary data processing of pedagogical experiments having a multimodal character. The purpose of the study is to identify the most effective and universal clustering algorithms for pedagogical experiments. Materials and Methods. The study used the method of modeling a pedagogical experiment. The analysis of 5 clustering algorithms is conducted. The effectiveness of clustering algorithms was evaluated based on the proportion of observations with clustering errors at various tolerance levels and the Jacquard similarity coefficient. Regression analysis was used to assess the influence of modeling parameters of a pedagogical experiment and indicators of descriptive statistics on the effectiveness of clustering algorithms. Results. The assessment of the effectiveness of various data clustering algorithms is provided, as well as a correlation and regression analysis of factors affecting clustering efficiency indicators was carried out. Conclusions. The most effective clustering algorithms for multimodal samples include the K-means algorithm and the agglomerative hierarchical algorithm. The results obtained in this research can be used for statistical analysis of pedagogical, psychological, sociological, biological and medical research data.
30
Petrović, Jelena, Jelena Zorić, and Mirjana Petrović-Lazić. "The relationship of sensory processing of children with developmental dysphasia with burnout and self-esteem of parents." Specijalna edukacija i rehabilitacija 22, no. 3 (2023): 221–42. http://dx.doi.org/10.5937/specedreh22-38815.
Full textAbstract:
Introduction. Sensory processing difficulties can pose a risk for the development of language and speech disorders in the earliest period and require professional intervention and intense involvement of parents in homework with children with developmental dysphasia, which might cause parental burnout and lower level of their self-esteem when parents are not able to help, not only the children, but themselves too. Aim. The aim of the research was to examine the relationship between the sensory sensitivity of children with developmental dysphasia and the characteristics of parents. Method. The sample consisted of 50 parents of children aged 3 to 6 years. The following questionnaires were used in the research to assess the characteristics of sensory processing: The Child Sensory Profile 2, Parental Burnout Inventory, and Rosenberg Self-Esteem Scale. Measures of descriptive statistics and Pearson's correlation coefficient were used in data processing. Results. The results of the research show that the level of parental burnout is relatively low (parents showed a high level of personal accomplishment (M = 4.16, SD = .67), mild level of emotional exhaustion (M = 2.34, SD = .78) and low level of emotional distancing (M = 1.72, SD = .72), but also that they are characterized by lower self-esteem (M = 3.11, SD = .34). Also, self-esteem and burn-out are not related. On the Sensory Profile, subscales of behavior elements are highly correlated, while the intensity of correlations in subscales of the basic system of processing oscillates. There is a weak correlation between the general self-esteem of parents with subscales of body posture and behavior. Conclusion. The obtained results were discussed in the context of practical pedagogical implications, considering that if the difficulties in the child's functioning are not eliminated in the preschool period, the child's departure to school may be delayed, or long-term difficulties in learning may appear.
31
Ariani, Yayuk, Masrizal Masrizal, and Rahma Muti’ah. "Prediction of Student Graduation Rates using the Artificial Neural Network Backpropagation Method." sinkron 8, no. 2 (April 25, 2024): 1169–77. http://dx.doi.org/10.33395/sinkron.v8i2.13659.
Full textAbstract:
This student graduation rate research focuses on analyzing academic performance with the main aim of identifying and distinguishing between students who graduate on time and those who graduate late. The application of data mining techniques in this research uses the neural network method, which is expected to offer deeper insight into the factors that influence students' graduation times. In this study, the neural network method was used to classify graduation data from 150 students. The results of this analysis were very encouraging, with 149 students identified as graduating on time and one student graduating late. The level of accuracy achieved in this classification is 98%, which shows the effectiveness of the neural network method in processing and analyzing academic data. These results confirm that neural networks are a powerful and reliable tool for predictive tasks like this. The successful use of neural networks in this study also proves their potential in broader educational applications, particularly in optimizing educational and intervention strategies. By understanding the characteristics of students who graduate on time versus those who graduate late, educators and administrators can design more effective programs to support student success. This is important not only to improve graduation statistics, but also to improve the overall educational experience for students.
32
Londar, Sergiy, and Maryna Horna. "EDUCATION STATISTICS AND MONITORING TOOLS FOR ACHIEVING THE 4ST GOAL OF SUSTAINABLE DEVELOPMENT." Educational Analytics of Ukraine, no. 2 (2021): 5–19. http://dx.doi.org/10.32987/2617-8532-2021-2-5-19.
Full textAbstract:
The article discussed the challenges that stand in the way of achieving the 4th Sustainable Development Goal in Ukraine, and the related tasks of reforming the system of official education statistics and digital transformation of the sphere of domestic education and science. To solve the research tasks, the composition of indicators for monitoring the status of implementation of the 4th Sustainable Development Goal is analyzed, the dynamics of key indicators is given, a review of the state of achievement of goals and target values of benchmarks for. Highlights recent changes in reporting formats initiated by the UNESCO Institute for Statistics to ensure international comparability of education statistics. The purpose of the article is to identify ways to optimize education statistics to ensure data comparability at the international level. General scientific methods were used In the course of the research, in particular: analysis and synthesis, comparison, analysis of time series, graphical method, etc. Necessary conditions for ensuring comparability of data and indicators at the international level are considered. The features of the functioning of software and hardware complex «AICOM» are shown as an effective tool for the production of statistical and administrative educational data, as well as a means of digital transformation of the sphere of education and science of Ukraine. The aspects of further improvement of the system of national education statistics in accordance with the requirements of the UN Basic Principles of Official Statistics are revealed. Measures are indicated for optimizing reporting and statistical documentation, expanding the composition of statistical data, increasing the reliability of statistical information, reducing the cost of processing and analyzing data. These tasks can be effectively performed only on condition of consensus, systemic, comprehensive consideration and an integrated approach to their solution. Therefore, they are open to public and professional discussion.
33
Beaujean, A. Alexander. "Simulating Data for Clinical Research: A Tutorial." Journal of Psychoeducational Assessment 36, no. 1 (January 31, 2017): 7–20. http://dx.doi.org/10.1177/0734282917690302.
Full textAbstract:
Simulation studies use computer-generated data to examine questions of interest that have traditionally been used to study properties of statistics and estimating algorithms. With the recent advent of powerful processing capabilities in affordable computers along with readily usable software, it is now feasible to use a simulation study to aid in clinical decision making. By simulating large quantities of data that mimic clinical situations, it is possible to understand the ramifications of different decisions better than using tangentially relevant data or intuition. In this tutorial article, I describe the general steps in conducting a simulation study with particular emphasis on clinical decision making. I conclude with a didactic example taken from clinical literature on identifying a specific learning disability.
34
Amo, Daniel, Paul Prinsloo, Marc Alier, David Fonseca, Ricardo Torres Kompen, Xavier Canaleta, and Javier Herrero-Martín. "Local Technology to Enhance Data Privacy and Security in Educational Technology." International Journal of Interactive Multimedia and Artificial Intelligence 7, no. 2 (2021): 262. http://dx.doi.org/10.9781/ijimai.2021.11.006.
Full text
35
Hafizhah, Nur, Nanik Mariani, and Fahmi Hidayat. "EXPLORING THE DIGITAL LITERACY OF PRE-SERVICE TEACHERS: A STUDY ON THE TEACHING ASSISTANCE PROGRAM." Wiralodra English Journal 8, no. 1 (March 15, 2024): 129–40. http://dx.doi.org/10.31943/wej.v8i1.280.
Full textAbstract:
In today's educational landscape, digital literacy has emerged as a critical skill for pre-service teachers, enabling them to effectively utilize technology in classrooms and provide students with valuable information technology resources. This study aims to investigate the digital literacy levels of pre-service teachers participating in a teaching assistance program at school. Employing descriptive statistics, the research analyzed data collected from pre-service teachers enrolled in the Teaching Assistance Program, using a framework designed to assess teacher digital literacy across five key dimensions: information management, team-based learning, information processing and presentation, digital integrity, and social responsibility. The findings reveal that pre-service teachers demonstrated a high level of digital literacy across all dimensions. While highlighting their readiness to employ information and communications technology (ICT) for educational purposes, the results also underscore an ongoing need for further development in digital literacy skills. Importantly, these findings contribute significantly to providing insightful data regarding the level of digital literacy of pre-service teachers. Next, future research endeavors should address the limitations of this study by employing diversified methodologies and ensuring broader sample representations.
36
Pho Duc, Hoa, Hang Truong Thi, and Linh Nguyen Ngoc. "CHILD SEXUAL ABUSE EDUCATION FOR PRIMARY SCHOOL STUDENTS." Journal of Science Educational Science 65, no. 12 (December 2020): 96–105. http://dx.doi.org/10.18173/2354-1075.2020-0114.
Full textAbstract:
This article is concerned with child sexual abuse education for primary school students. The aim is to equip students, parents, and associated educational establishments with the knowledge and skills needed for the prevention of child molestation. The authors coordinate the system of the following methods: Document research method; questionnaire investigation method; observation method; in-depth interview method; method of processing data by mathematical statistics. From the analysis of the “red alert” situation, the theoretical and experimental bases surveyed on 60 students of grades 3 and 5 at Pham Tu Primary School, Thanh Tri District, Hanoi. Through means of status quo analysis and assessment of the effectiveness of child sexual abuse education in Vietnam, the article provides educational establishments and educators within this field with suggestions for improvement. Our research group hopes that these recommendations, as well as the conclusions drawn in the article can help to make child sexual abuse less of a threat to students, a challenging topic to teachers, and a prevalent hazard to society.
37
Castro Valdiviezo, Havdih, and Mario Adelfo Batista Zaldívar. "Scientific recreations to favor the learning of the periodic table in high school students with incomplete schooling." Ecletica Quimica 48, no. 4 (October 3, 2023): 48–56. http://dx.doi.org/10.26850/1678-4618eqj.v48.4.2023.p48-56.
Full textAbstract:
Didactic games for science teaching contribute to student learning and break with traditional teaching models. The objective of this study was to implement a didactic guide with scientific recreations to favor the learning of the periodic table in students with incomplete schooling in the 2022�2023 school year. For this purpose, an experimental, field and explanatory research was used. A population study was carried out with 60 students of the first year of high school of the �Velasco Ibarra� Fiscal Educational Unit. The main theoretical and empirical methods were used, as well as descriptive and inferential statistics for data processing, analysis and interpretation. A didactic guide with scientific recreations was elaborated to favor the learning of the periodic table in students with unfinished schooling, which was applied to the students of the �Velasco Ibarra� Fiscal Educational Unit, in the 2022�2023 school year. It was corroborated that the didactic guide with scientific recreations applied significantly improved the students� learning of the periodic table.
38
Pasaribu, Fingki Lamhot, Marshal` Koko Anand, Naldi Irfan, and Yovi Pratama. "Evaluasi Penggunaan Pada Website Dinas Pendidikan dan Kebudayaan Kabupaten Tebo Menggunakan Usability Testing." TIN: Terapan Informatika Nusantara 3, no. 11 (April 29, 2023): 472–78. http://dx.doi.org/10.47065/tin.v3i12.4175.
Full textAbstract:
The Tebo Regency Education and Culture Office is one of the service agencies in Jambi Province. his task is to assist the Regent in carrying out government affairs in the field of educational development, non-formal education and basic education, and cultural processing. on the website Dinasdikbud.tebokab.go.id there has been a significant reduction in visitors of fifteen thousand. Based on these problems, this research was made to analyze the level of satisfaction using the website using the USABILITY TESTING method. With 6 variables namely: Learnability, Efficiency, Memorability, Information Quality, Error, and Satisfaction. This study obtained respondents as many as 100 respondents. The processing of this research data used IBM SPSS Statistics 26 ver 2 software. The results of this study showed that of the 5 variables of USABILITY TESTING, 2 variables namely Efficiency and Memorability did not have a positive effect, only 3 namely Learnability, Information Quality, and Error which significantly affected Satisfaction using the Tebo District Education and Culture Office website
39
Alonso, Maria Teresa, Carlo Ferigato, Deimos Ibanez Segura, Domenico Perrotta, Adria Rovira-Garcia, and Emmanuele Sordini. "Analysis of ‘Pre-Fit’ Datasets of gLAB by Robust Statistical Techniques." Stats 4, no. 2 (May 24, 2021): 400–418. http://dx.doi.org/10.3390/stats4020026.
Full textAbstract:
The GNSS LABoratory tool (gLAB) is an interactive educational suite of applications for processing data from the Global Navigation Satellite System (GNSS). gLAB is composed of several data analysis modules that compute the solution of the problem of determining a position by means of GNSS measurements. The present work aimed to improve the pre-fit outlier detection function of gLAB since outliers, if undetected, deteriorate the obtained position coordinates. The methodology exploits robust statistical tools for regression provided by the Flexible Statistics and Data Analysis (FSDA) toolbox, an extension of MATLAB for the analysis of complex datasets. Our results show how the robust analysis FSDA technique improves the capability of detecting actual outliers in GNSS measurements, with respect to the present gLAB pre-fit outlier detection function. This study concludes that robust statistical analysis techniques, when applied to the pre-fit layer of gLAB, improve the overall reliability and accuracy of the positioning solution.
40
Sivrikova, Nadezhda, Elena Moiseeva, Nadezhda Sokolova, Tatyana Ptashko, Elena Chernikova, and Natalya Artemeva. "Analysis of Nominal Pedagogical Experimental Data Using the Example of the Development of Conflict Competence." Education and Self Development 17, no. 1 (March 31, 2022): 136–52. http://dx.doi.org/10.26907/esd.17.1.12.
Full textAbstract:
The paper examines the problem of using mathematical statistics methods in pedagogical research. It identifies and describes the possibilities of using different methods of analysis of nominal data in processing the results of pedagogical experiments. The authors analyzed the frequency of use of statistical criteria in 100 publications in journals included in Web of Science and the Russian Index of Scientific Citation. The criteria for selecting publications were (1) year of issue; (2) reviews of manuscripts; (3) free access to the publication from the publisher; (4) availability of quantitative data on test results before and after pedagogical impact; (5) conclusions about the effectiveness of pedagogical impact. It was found that 45% of publications did not use mathematical statistics methods to test scientific hypotheses. Of the mathematical statistics methods used by the authors, the T-Test and Chi-square Test are more often used. For the study example of developing conflict readiness in future teachers, it presents the possibilities of using: Chi-square Test, Fisher’s Exact Test (Phi test), Cramer 's V Test and Somers’ d Test.
41
Martyniuk, Iryna. "PSYCHOSEMANTIC ANALYSIS OF STUDENTS' ATTITUDES TOWARDS DIFFERENT TYPES OF SELF-EDUCATIONAL ACTIVITIES." PSYCHOLOGICAL JOURNAL 9, no. 3 (March 30, 2023): 39–48. http://dx.doi.org/10.31108/1.2023.9.3.4.
Full textAbstract:
The article presents the results of a study on the attitude of student youth towards various types of self-educational activities. The research employed theoretical methods such as the analysis of scientific sources, data generalization, substantiation of types of self-educational activities among student youth, and formulation of conclusions. Empirical methods included a written survey using the psychosemantic analysis method to assess the attitude of student youth towards self-educational activities. The results were further analyzed using descriptive statistics and the Mann-Whitney U-test for mathematical data processing. The research findings provide insights into the attitude of student youth towards five types of self-educational activities, considering their assessment, level of engagement, and quality of implementation. Specifically, the study examines the attitude towards the following types of self-education activities: reading scientific literature related to the subject, searching for information on the Internet, participating in trainings and seminars, engaging in webinars and online courses, and watching video materials. The assessment of these types of activities encompasses their perceived importance for professional development, influence, efficacy, modernity, and dynamism. The study also analyzes the level of engagement in implementing these self-educational activities, including the awareness of knowledge, regularity of implementation, and level of interest. Additionally, the quality of implementation is assessed based on the degree of independence in organizing such activities and the presence of challenges during implementation. The findings indicate that student youth hold a generally positive attitude towards all types of self-educational activities, considering their perceived importance, influence, efficacy, modernity, and dynamism.
42
Wambua, Elijah Mwongela, and Gilbert Nyakundi. "TECHNOLOGY & PRODUCTIVITY AMONG EDUCATIONAL INSTITUTIONS INFORMATION COMMUNICATION AND TECHNOLOGY IN PUBLIC SECONDARY SCHOOLS IN MAKUENI COUNTY, KENYA." Jumuga Journal of Education, Oral Studies, and Human Sciences 7, no. 1 (April 8, 2024): 1–11. http://dx.doi.org/10.35544/jjeoshs.v7i1.60.
Full textAbstract:
The primary objective of this research article is to identify the key impacts of integrating technology into public secondary schools in Makueni County. To achieve this, a descriptive research strategy has been employed, that brought in 140 teachers and 25 principals. Data collection was conducted via interview schedules and questionnaires that were aimed at administrators and teachers. The gathered data underwent quantitative and qualitative analysis. Descriptive statistics and mean calculations, a measure of central tendency, were utilized for data analysis. The research hypothesizes that Information and Communication Technology (ICT) plays a crucial role in enhancing educational quality. ICT enables more personalized instruction and immediate feedback, thereby improving literacy both inside and outside the classroom. The research article also examines how ICT can be used to foster creativity and higher-order thinking skills. In terms of administration, ICT is pivotal in streamlining tasks such as data collection, document processing, record-keeping, and financial document recovery, making retrieval more straightforward and administration more efficient. Furthermore, ICT aids in the efficient scheduling of school activities, including parents and teachers association (PTA) and Board of Management meetings, and managing school calendar events, classes, and exams. In a nutshell, the research article highlights the importance of ICT in disseminating information and fostering effective communication among stakeholders.
43
Ejike, R. D., and N. M. Chidiebere-Mark. "Analysis of cocoa processing and marketing in Abia State, Nigeria." Journal of Agriculture and Food Sciences 17, no. 2 (April 10, 2020): 45–61. http://dx.doi.org/10.4314/jafs.v17i2.5.
Full textAbstract:
The study analysed Cocoa processing and marketing in Abia State, Nigeria. It specifically assessed the socio-economic characteristics of the cocoa processors, the structure and conduct of cocoa processors, cost and returns, marketing efficiency and constraints to cocoa processing and marketing in the study area. A total of 120 cocoa processors and marketers were randomly selected from the selected local governments purposively chosen using a multistage sampling procedure. Structured questionnaire was used to elicit information from cocoa processors who also engage in marketing of cocoa. Data were analysed using descriptive and inferential statistics. Results show that majority (56.7%) of the processors and marketers were males, with a mean age of 51.35 years, literates (98.3%), married (86.7%), members of cooperative society (75%,), had extension contact (60%) and have a mean household size of 5 persons with 11.2 years processing and marketing experience. Cost and return analysis revealed that cocoa processing and marketing is a profitable venture and the marketers were efficient at their trade. Multiple Regression result revealed that Age, Educational level, household size, were significant variables that influence marketing efficiency of processors and marketers in the study area. Constraints identified include; transportation, spoilage, price fluctuation amongst others. The study recommends among others the provision of infrastructure like modern processing facilities and good road network by government to improve efficiency in processing and marketing of cocoa.
Keywords: Cocoa processing, Cost-return, Efficiency, Marketing
44
Chang, Tammy, Melissa DeJonckheere, V. G. Vinod Vydiswaran, Jiazhao Li, Lorraine R. Buis, and Timothy C. Guetterman. "Accelerating Mixed Methods Research With Natural Language Processing of Big Text Data." Journal of Mixed Methods Research 15, no. 3 (June 16, 2021): 398–412. http://dx.doi.org/10.1177/15586898211021196.
Full textAbstract:
Situations of catastrophic social change, such as COVID-19, raise complex, interdisciplinary research questions that intersect health, education, economics, psychology, and social behavior and require mixed methods research. The pandemic has been a quickly evolving phenomenon, which pressures the time necessary to perform mixed methods research. Natural language processing (NLP) is a promising solution that leverages computational approaches to analyze textual data in “natural language.” The aim of this article is to introduce NLP as an innovative technology to assist with the rapid mixed methods analysis of textual big data in times of catastrophic change. The contribution of this article is illustrating how NLP is a type of mixed methods analysis and making recommendations for its use in mixed methods research.
45
Esparza-Huamanchumo, Rosse Marie, Rosa Jeuna Diaz-Manchay, and Maribel Albertina Díaz-Vásquez. "Virtual Educational Intervention of Craftswomen Working with Native Peruvian Cotton during COVID-19 for Reactivating the Artisian Tourism." Sustainability 15, no. 7 (March 29, 2023): 5933. http://dx.doi.org/10.3390/su15075933.
Full textAbstract:
The pandemic has significantly affected the tourism sector worldwide; however, craftswomen are a vulnerable group that has been affected economically by this crisis. This research evaluated the level of compliance with preventive measures before and after carrying out the virtual educational intervention for craftswomen working with native cotton in the Lambayeque Region, Peru. The methodology applied was a pilot study, quasi-experimental, without a control group. The population consisted of 30 craftswomen from the populated areas of La Raya–Túcume, Pómac III-Pitipo and Jotoro-Jayanca. SPSS Statistics v25 was used for data processing. The χ2 test was used in order to evaluate the variation before and after the intervention. The correlational findings demonstrate that after applying the virtual educational intervention, it is sufficient to apply specific measures in the first (before) and second stage (during) to obtain a higher result in compliance with the general level of the regulations against COVID-19. It is concluded that the virtual educational intervention for the craftswomen has generated awareness, impacting the care of their personal health, their family and their community, as well as being prepared for the reactivation of tourism.
46
Tanyer, Seray, and Samet Deniz. "Turkish EFL Learners’ Acquisition of Psych Verbs and Unaccusative Verbs: A Replication Study on Underpassivization and Overpassivization." Theory and Practice of Second Language Acquisition 8, no. 1 (January 28, 2022): 129–55. http://dx.doi.org/10.31261/tapsla.10353.
Full textAbstract:
The processability account anticipates that learners will make more underpassivization errors than overpassivization errors since passivization entails more processing. Although one study on psych-verbs and a few on unaccusatives examined Turkish L2 learners’ acquisition, no research compared a single set of learners’ acquisitions of these verbs together from a processing point of view. In this regard, the current study aims to investigate whether the processing complexity of passivization influences acquisition of psych and unaccusative verbs. It also questions whether general accuracy levels in Grammaticality Judgement Task (GJT) and degree of familiarity with target verbs are related to their level of accuracy with individual psych and unaccusative verbs. 33 undergraduate-level university students performed on the GJT and a Word Familiarity Rating Task (WFRT). The GJT included 38 items with 12 sentences for psych-verbs, 12 sentences for unaccusative-verbs, 12 sentences for distracters and 2 sentences for examples. The WFRT was a survey questioning familiarity with 6 psych and 6 unaccusative verbs. To analyse the data, a set of nonparametric tests and descriptive statistics were used. The results revealed that learners performed mor
The processability account anticipates that learners will make more underpassivization errors than overpassivization errors since passivization entails more processing. Although one study on psych-verbs and a few on unaccusatives examined Turkish L2 learners’ acquisition, no research compared a single set of learners’ acquisitions of these verbs together from a processing point of view. In this regard, the current study aims to investigate whether the processing complexity of passivization influences acquisition of psych and unaccusative verbs. It also questions whether general accuracy levels in Grammaticality Judgement Task (GJT) and degree of familiarity with target verbs are related to their level of accuracy with individual psych and unaccusative verbs. 33 undergraduate-level university students performed on the GJT and a Word Familiarity Rating Task (WFRT). The GJT included 38 items with 12 sentences for psych-verbs, 12 sentences for unaccusative-verbs, 12 sentences for distracters and 2 sentences for examples. The WFRT was a survey questioning familiarity with 6 psych and 6 unaccusative verbs. To analyse the data, a set of nonparametric tests and descriptive statistics were used. The results revealed that learners performed more accurately on unaccusatives than on psych-verbs. They did more underpassivization errors by accepting ungrammatical active constructions of psych verbs. Their performances on psych and unaccusative verbs went parallel with their general accuracy levels in GJT while their degree of familiarity with and accuracy level for two verbs do not correlate with each other.The results suggest that such factors as processability and L1 transfer seem to impact the acquisition.
Keywords:Second language acquisition; psych verbs; unaccusative verbs; underpassivization; overpassivization.
e accurately on unaccusatives than on psych-verbs. They did more underpassivization errors by accepting ungrammatical active constructions of psych verbs. Their performances on psych and unaccusative verbs went parallel with their general accuracy levels in GJT while their degree of familiarity with and accuracy level for two verbs do not correlate with each other.The results suggest that such factors as processability and L1 transfer seem to impact the acquisition.
Keywords:Second language acquisition; psych verbs; unaccusative verbs; underpassivization; overpassivization.
47
Igene, L., O. Solomon, M. Osifo, and B. E. Akagbosu. "Assessment of Information Needs of Shea Butter Processors’ on Modern Processing Technologies in North Central Agro-Ecological Zone of Nigeria." Sustainable Agriculture Research 8, no. 1 (December 21, 2018): 59. http://dx.doi.org/10.5539/sar.v8n1p59.
Full textAbstract:
To ensure sustainable shea butter production in North Central Agro-ecological zone of Nigeria using modern shea butter processing technologies necessitated this study. The major objective of the study was to identify the information needs of shea butter processors’ on modern shea butter processing technologies whilst examining the respondents’ socio-economic characteristics, ascertaining their awareness, areas of information needs, sources of information, and perception on the effect of inadequate information on modern processing technologies were the specific objectives. Primary data were collected from 216 processors’ using multi-stage sampling procedure. The data were analysed using descriptive and inferential statistics. Findings revealed that most (90.3%) of the processors’ were females, young and married with little or no formal education and having between 6 to 15 years of processing experience. Respondents obtained information mostly from fellow processors ( =70) and cooperative societies ( = 67). Perceived areas of information need include kneading ( = 89), crushing ( = 88), roasting ( = 85) and milling ( = 84). Perceived effects of inadequate information on modern processing technologies were low yield of shea butter ( = 78), low income ( = 76), and local use of local technologies ( = 71) and poor packaging of shea butter ( = 78). Respondents’ sex (χ2 = 22.076, 0.000), educational level (χ2 = 86.983, 0.000) and years of processing experience (χ2 = 22.076, 0.000) had significant association with their perception of information needs. Creation of awareness on modern shea butter processing technologies through the use of more radio programmes aired at appropriate time and the use of leaflets produced both in English and local languages is recommended.
48
Dorofieieva, Tatiana, and Serhii Kotliar. "Automated control and management system physical loads in skiing." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 5(150) (May 27, 2022): 43–49. http://dx.doi.org/10.31392/npu-nc.series15.2022.5(150).10.
Full textAbstract:
Until recently, there is no research data and research on the control and modeling of training loads in skiing for children of children's and youth sports schools using modern databases in the training process. The purpose is to show one of the possible approaches to the analysis and generalization of training loads in the training of skiers, help scientists and trainers-practitioners, as well as encourage them to find alternative ways, forms and methods of studying the creative activity of the coach. Research methods: study, analysis and synthesis of literature, pedagogical observations, methods of mathematical statistics using Access database management system. Result. The automated information system of pedagogical control of educational and training loads on the example of skiing is presented, which is developed on the basis of the Access database management system. Its use allows: to carry out unified collection of information; to calculate derived indicators and do statistical data processing; to reflect the dynamics of the main parameters of training and competitive loads; to compile various types of reports for the period of any duration; to create models of various structural formations of the educational and training process in skiing.
49
EJECHI, M. E. "DETERMINANTS OF VALUE ADDITION AMONG SMALLHOLDER SWEET POTATO FARMING HOUSEHOLDS IN EBONYI STATE, NIGERIA." FUDMA Journal of Agriculture and Agricultural Technology 9, no. 3 (December 28, 2023): 105–12. http://dx.doi.org/10.33003/jaat.2023.0903.16.
Full textAbstract:
Smallholder farmers play a crucial role in sweet potato production, but limited value addition hinders their income generation and market participation. This study explored the factors that smallholder farmers in Ebonyi State considered when adding value to their sweet potato production. Using a multi-stage sampling technique, primary data was gathered from 400 small-scale sweet potato growers out of the state's 380,000 growers. Interview schedules were the instrument utilized for data collection. Information was gathered on the sweet potato processing method as well as the socioeconomic traits of the growers. Statistics from the descriptive and probit regression models were used to analyze the data. Findings revealed that the traditional method of processing sweet potatoes was predominant in the area. At a 1% probability level, the probit regression coefficient of educational attainment and farmers’ association membership was significant and positively correlated with the addition of value to sweet potatoes. Additionally, at a 5% probability level, access to credit was substantial and positively associated with the addition of value to the sweet potato. At 1% and 5% probability levels, respectively, coefficients of gender and farming status were significant and inversely associated with the addition of value to sweet potatoes. The study concludes that the most common processing methods used by sweet potato farmers are traditional processing methods. Therefore, strategies to educate farmers about the value of forming farmer groups are needed, as most training on value addition and access to knowledge about market opportunities can be easily shared through farmers' groups.
50
Vashchylo, Olha V. "EFFICIENCY OF DISTANCE LEARNING FOR FUTURE PHILOLOGISTS IN THE COVID-19 PANDEMIC." Information Technologies and Learning Tools 87, no. 1 (March 1, 2022): 81–94. http://dx.doi.org/10.33407/itlt.v87i1.4607.
Full textAbstract:
The article is devoted to the questions of organizing English distant classes for future philologists and verifying the efficiency of the suggested approach. Distance learning was conducted at National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” in the third and fourth semesters of the academic year 2020-2021. Second-year students (two groups) of the Faculty of Linguistics, specialty 035 “Philology”, specialization 035.041 “Germanic languages and literature (including translation), primary – English” participated in the distance learning. The educational process in the distance mode encompassed distant classes, held through the video conferencing platform Zoom, and students’ individual work, performed at the learning management system Canvas. The efficiency of teaching English distantly to future philologists was checked by conducting pre- and post-assessments with subsequent processing of the received data by methods of mathematical statistics. The efficiency of distance learning in general was verified using the statistical criterion φ* – Fisher z-transformation. The minimal sufficient achievement rate, used for Fisher z-transformation, was identified based on the fuzzy set theory by processing opinions of a group of experts. Lecturers at Igor Sikorsky Kyiv Polytechnic Institute, Department of the English language Theory, Practice and Translation were chosen as experts (ten respondents in total). The efficiency of distance learning in each group was verified using paired sample t-test. The results of the data processing by statistical methods proved the efficiency of the suggested approach to organizing distant English classes for future philologists that ensured combination of synchronous (using video conferencing platform Zoom) and asynchronous learning modes (using the learning management system Canvas). The results of the survey conducted among the participants of the educational process showed a positive attitude to the organization of the distance learning using the service Zoom and the system Canvas.