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Journal articles on the topic 'Knowledge-aided Learning'
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Webb, Geoffrey I. "A knowledge-based approach to computer-aided learning." International Journal of Man-Machine Studies 29, no. 3 (September 1988): 257–85. http://dx.doi.org/10.1016/s0020-7373(88)80023-3.
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Syed Mustapha, S. M. F. D. "Building Learning System for Content Knowledge and Social Knowledge." International Journal of Emerging Technologies in Learning (iJET) 13, no. 01 (January 22, 2018): 4. http://dx.doi.org/10.3991/ijet.v13i01.6912.
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In the late 50’s or early 60’s, there were huge interests towards building learning systems for individual learning and they are called with various names such as Intelligent Tutoring System, Microworld, Computer Based Training, Computer Aided System, Intelligent Computer Aided Instruction and others. They are made to be different with regard to the technological approaches and the learning pedagogies, knowledge models and student models. Over the years, the interest of building learning systems has migrated from individual learning on content knowledge to community learning as the result of the recent Web 2.0 and Web 3.0 sociotechnological wave. The paper describes the work that was done to develop the learning system in both situations – content knowledge and social knowledge where the experiences mainly in capturing the knowledge and representing them are different
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Shen, Jiajun, and Tian Zhou. "Context knowledge-aided sparse bayesian learning method for bathymetric sonar." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 3015. http://dx.doi.org/10.1121/1.5137451.
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Makenzie, Alfonso Makenzie. "Influence of Computer Aided Learning for Teacher and Students in Promoting Assimilation of Knowledge. A Critical Literature Review." International Journal of Computing and Engineering 3, no. 1 (November 23, 2022): 34–44. http://dx.doi.org/10.47941/ijce.1130.
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Purpose: No matter how superior the techniques employed are, it’s only through positive attitudes of teachers that the benefits of computer integration into the curriculum instruction could be realized. The overall objective of this study was to examine influence of computer aided learning for teacher and students in promoting assimilation of knowledge.
Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.
Findings: The study concluded that all the teachers and majority of the students (93.2%) disagreed to the statement that they had never used a computer and that they were not interested. Based on teachers’ perceptions towards the use of computer aided learning all the teachers’ strongly disagreed to the statement that computers scare them. Analysis of results showed that the teachers had a positive attitude towards computer aided learning. They therefore agreed that they believed computers were important teaching tool. The study also concluded that he school boards of management were partly involved in the training of teachers on computer aided learning and that the ministry of education also organized training courses for teachers on computer aided learning.
Unique Contribution to Theory, Policy and Practice: The study suggests that parents associations (PA) in schools should develop a PA fund and organize equipping schools with more computers and other computer aided learning resources in order to make teaching and learning using computer aided learning easier. The current study suggests that there is need to organize in-service training for teachers in order to equip them with expertise skills and knowledge and build their confidence with ICT tools.
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Yao, Zoujing, and Chunhui Zhao. "FedTMI: Knowledge aided federated transfer learning for industrial missing data imputation." Journal of Process Control 117 (September 2022): 206–15. http://dx.doi.org/10.1016/j.jprocont.2022.08.004.
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Dabolins, Janis. "TEACHING OF COMPUTER AIDED DESIGN SYSTEMS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 25, 2018): 248–59. http://dx.doi.org/10.17770/sie2018vol1.3143.
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The objective of this paper is to analyze and describe computer-aided design training and its aspects. A traditional and technology-supported learning process is described with the purpose of analyzing computer-aided design training and provision of knowledge assessment, and identifying problems in the CAD system training. The article analyzes the learning process by defining its objectives, the necessity of student characterization, motivation analysis, the necessity of feedback and other basic components; it analyzes the training methods, provides insight into technology-supported learning process, identifies the provision and types of computer-aided design training and knowledge assessment as well as describes feedback and its role in the training process.Elaboration of an intellectual learning system would solve the problems associated with lack of feedback, lack of adaptivity and the emergence of plagiarism (since only the end result of the design is subjected to the test and not the whole process of creating it, it is easy to pass another’s work for one’s own). A solution to these problems would facilitate the work of the teacher and improve student learning outcomes.
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Aberšek, Boris, and Metka Kordigel Aberšek. "DOES INTELIGENT E-LEARNING TOOLS NEED MORE PEDAGOGICAL METHODOLOGY OR ICT." Problems of Education in the 21st Century 37, no. 1 (December 15, 2011): 9–17. http://dx.doi.org/10.33225/pec/11.37.09.
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Evolution in computer and other information communication technologies have made also possibilities to develop intelligente computer-aided learning tools for enhanced learning. Today, most researchers in the field of educational technology seem to be preoccupied with either heuristic, the development of Artificial Intelligence application, or the epistemology, philosophy concerned with the nature and scope (limitations) of knowledge and representation or varius learning theories such as constructivism and conectionism by computer program. The enthusiasm to develop technologicall advanced learning tools resulted in technologies with limited application. The need to develop simple computer-based tools to assist instruction and demonstrate its impressiveness to enhance learning is most important, but those tools desperetly need to be designed with epistemological (didactical) knowledge and integrated into a pedagogical framework. The paper presents researc connected with the design and use of an interactive computer-aided learning tool for enhanced learning and the impact of an interactive computer-aided e-learning tool on students learning achievement. The study was motivated by the need to evaluate the use and effectiveness of computer-aided learning applications as they are used in the instructional environment. The mayor research questions that guided this study are: Does the e-learning tool have a measurable effect on students learning? And what is the impact of the e-learning tool usage on students’ performance? The results of the study proof the impact of usage e-learning tools on students’ performance at knowledge assessment. While using the prepared e-learning tool, the score and the time of complete interactive session were measured. Key words: education, ICT, intelligente learning tools.
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Shapiro, Amy M. "The Relationship between Prior Knowledge and Interactive Overviews during Hypermedia-Aided Learning." Journal of Educational Computing Research 20, no. 2 (March 1999): 143–67. http://dx.doi.org/10.2190/bcku-f3ac-cnpw-m44e.
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Junsawang, Chuenjit, Karnyupha Jittivadhna, Sutha Luealamai, and Renu Pookboonmee. "Multimedia-aided instruction in teaching basic life support to undergraduate nursing students." Advances in Physiology Education 43, no. 3 (September 1, 2019): 300–305. http://dx.doi.org/10.1152/advan.00106.2018.
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Basic life support (BLS) knowledge is a necessity for nursing students, as they have to deal with cardiac arrest events during their professional career. Existing studies indicate poor BLS knowledge among health science students, including nursing students. Learning BLS requires an understanding of basic sciences, such as anatomy, physiology, and biochemistry, subjects perceived to be difficult, resulting in misconceptions. Hence, a multimedia-aided instruction on BLS, supplemented with cooperating learning groups, was developed to assist nursing students in gaining correct BLS knowledge. A pretest-posttest designed for single cooperating groups was employed to evaluate students’ achievements. Sixty-five undergraduate nursing students took the pretest and posttest that consisted of 10 open-ended questions, each designed to evaluate an aspect of their BLS knowledge. The results show significantly more students (60 vs. 20%) answered more questions correctly on the posttest compared with the pretest ( P value <0.05, Wilcoxon signed-rank test). Thus the multimedia-aided instruction package enhanced undergraduate nursing students’ understanding of BLS and also assisted to generate a positive perception of multimedia-aided instructions, supplemented with a cooperating learning group.
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Zhang, Xi Ai, and Fei Ma. "Research on Active Knowledge Aided System of Automobile Parts Design." Applied Mechanics and Materials 143-144 (December 2011): 541–45. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.541.
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According to the status of higher knowledge threshold that is set up for designer by CAE technique, establishing knowledgebase of active knowledge aided system of software to furnish designers appropriate design knowledge and experiences for reducing higher knowledge threshold of CAE and lightening the learning burden of designers. System takes the example of the analytical design of automobile parts in CAE software to realize rapid application of sophisticated CAE and debase the cost of design.
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Zhang, Xi Ai, and Ran Li. "Research on Active Aided Knowledge System Push-Pull Technology Oriented the CAPP." Applied Mechanics and Materials 214 (November 2012): 486–90. http://dx.doi.org/10.4028/www.scientific.net/amm.214.486.
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According to the quick updating of contemporary knowledge and the long learning process for the machinery technologists, this paper sets up an active aided knowledge system oriented the CAPP. On the basis of the knowledge base, the system provides relevant knowledge for the machinery technologists. The technologists can pull the information and this soft not only pushes information customized, but also determines knowledge demanded in order to send the lack of knowledge for the machinery technologists. The active aided knowledge system oriented the CAPP will reduce the machinery technologists’ burdens, improve the utilization of knowledge and focus technologists’ energy on the creative thinking.
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Zhang, Xi Ai, and Fei Ma. "The Research of CAE Active Knowledge Aided System Based on Network." Applied Mechanics and Materials 182-183 (June 2012): 783–87. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.783.
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According to the application status of the Computer Aided Engineering (CAE) in mechanical design field and the higher knowledge threshold that is set up for designer by CAE technique, this paper puts forward to construct a basic prototype of system to provide knowledge assistance for CAE designer with active knowledge assistance method and operation encapsulation based on network. And it is encapsulated as the partner software of the CAE software to realize the effective utilization of the CAE to reduce the learning burden of designer and designing cost. The existence of this aided system promotes the application of CAE in mechanical design engineering and improves the innovation ability.
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MAJEWSKI, JAROSŁAW. "Evolution method aided by knowledge base to improve learning effects of some neural networks." ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA 1, no. 4 (April 5, 2015): 30–32. http://dx.doi.org/10.15199/13.2015.4.5.
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LI, Xin, Guang-cun SHAN, Hong-bin ZHAO, and Chan Hung SHEK. "Domain knowledge aided machine learning method for properties prediction of soft magnetic metallic glasses." Transactions of Nonferrous Metals Society of China 33, no. 1 (January 2023): 209–19. http://dx.doi.org/10.1016/s1003-6326(22)66101-6.
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Mahardika, Rizka. "THE USE OF TRANSLATION TOOL IN EFL LEARNING: DO MACHINE TRANSLATION GIVE POSITIVE IMPACT IN LANGUAGE LEARNING?" Pedagogy : Journal of English Language Teaching 5, no. 1 (July 30, 2017): 49. http://dx.doi.org/10.32332/pedagogy.v5i1.755.
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Translation tools are commonly used for translating a text written in one language (source language) into another language (target language). They are used to help translators in translating big numbers of translation works in effective time. There are three types of translation tools being studied in the article entitled Machine Translation Tools: Tools of the Translator’s Trade written by Peter Katsberg published in 2012. They are Fully Automated Machine Translation (or FAMT), Human Aided Machine Translation (or HAMT) and Machine Aided Human Translation (or MAHT). Katsberg analyzed how each translation tool works, the naturality and approriateness of its translation and the compatibility of using it. In this digital era, translation tools are not only popular among translators but also among EFL learners. Beginning with the use of portable dictionary such as Alfalink and expanding to the more sopisticated translation tool such as Google Translate. Some novice learners usually use this translation tools in doing their task without recorrecting the translation result. This happens perhaps because they do not have enough background knowledge to evaluate the translation result. Thus, it will be better when the learners have good mastery in basic English and train them to be aware in evaluating the result from translation tools. On the other words, Human Aided Machine Translation may be the wise choice to do translation task effectively and efficiently particularly in managing the time.
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Raicu, Alexandra, and Emil Oanta. "Modern Education Facilities for CAD/CAM/CAE Training of the Future Maritime Engineers." Advanced Materials Research 837 (November 2013): 769–74. http://dx.doi.org/10.4028/www.scientific.net/amr.837.769.
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This paper presents the modern education principles for Computer Aided Design, Computer Aided Manufacturing and Computer Aided Engineering (CAD/CAM/CAE) Training Centre of the future maritime engineers. To improve, share and distribute our training we combine the classical pedagogical approaches with the web-based learning which provides interactivity for students, the possibility of exchanging views, opinions and materials in a multimedia environment. According to the actual concept, the teaching and learning will be interactive and live. The paper presents the means to enhance the quality of training programs of study using the long term experience of the authors in this field. The authors settle the principles of implementation of a special Training Centre using e-Learning in Constanta Maritime University (CMU) and introduce the modern concepts and technologies for the acquisition of Product Lifecycle Management knowledge.
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Yuniarti, Suci, Tri Hariyati Nur Indah Sari, and Husnul Khotimah. "PKM Pemanfaatan Modul Berbantuan GeoGebra dalam Pembelajaran Aplikasi Integral SMA di Balikpapan." Abdimas Universal 1, no. 1 (May 18, 2019): 35–38. http://dx.doi.org/10.36277/abdimasuniversal.v1i1.4.
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The community service activity is conducted in the form ofa counselingabout the use of GeoGebra-aided modul in integral application learning.This activity aims to add knowledge about the use of GeoGebra-aided modul in mathematics learning especially integral application learning to mathematics teachers. The implementation method consists of four stages namely preparation, action, evaluation and report. This one day activity were attended by 26 mathematics teachers from elementary school, junior and senior high school and vocational school in Balikpapan at the 7th Floor G Building of Balikpapan University. The presented material consists of the use of GeoGebra-aided modul in integral application topic namely area of plane regions and volume of solids of revolution. This community service activity run well and smoothly and in accordance with the planning. Based on the carried activities, it is expected for mathematics teachers to create learning modules that appropriate with their students� conditions in the class and integrate various multimedia to support their mathematics learning process.Keywords: modul, geogebra, integral application
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Kiran Kumar, M., M. Sreedevi, and Y. C. A. Padmanabha Reddy. "Survey on machine learning algorithms for liver disease diagnosis and prediction." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 99. http://dx.doi.org/10.14419/ijet.v7i1.8.9981.
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Machine learning plays a vital role in health care industry. It is very important in Computer Aided Diagnosis. Computer Aided Diagnosis is a quickly developing dynamic region of research in medicinal industry. The current specialists in machine learning guarantee the enhanced precision of discernment and analysis of diseases. The computers are empowered to think by creating knowledge by learning. This procedure enables the computers to self-learn individually without being explicitly programed by the programmer .There are numerous sorts of Machine Learning Techniques and which are utilized to classify the data sets. They are Supervised, Unsupervised and Semi-Supervised, Reinforcement, deep learning algorithms. The principle point of this paper is to give comparative analysis of supervised learning algorithms in medicinal area and few of the techniques utilized as a part of liver disease prediction.
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Fernandes, Fábio A. O., Clauber Marques, Jovani Castelan, Daniel Fritzen, and Ricardo J. Alves de Sousa. "Learning Processes in Mechanics of Structures: Allying Analytical and Numerical Approaches." Education Sciences 10, no. 4 (April 20, 2020): 114. http://dx.doi.org/10.3390/educsci10040114.
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This paper reports pedagogical experiences and educational techniques in the field of Mechanics of Structures (Mechanical Engineering degree), resorting to computational tools. Several aspects are addressed, covering CAD (Computer-Aided Design) modelling systems to CAE (Computer-Aided Engineering) solutions, in terms of analysis and validation of mechanical resistance calculations. Therefore, structural mechanics fundamental concepts and mechanics of materials are also addressed. Particular focus is given on the development of curricula components related to Computer-Aided Design and Manufacturing. Doing so, three-dimensional structural modelling is applied to study the behaviour in selected simple case-studies where an external load is applied and the corresponding deflections are evaluated. Then, analytical and numerical analyses are performed and compared. During classes, patent aversion to solve analytical problems was clearly observed on the part of the students once calculus knowledge was required. The typical trend in engineering students, skipping the manual analytical methodology to solve a problem in order to go straight to numerical simulations via commercial Finite Element (FE) codes, was observed. The main focus of this work is, therefore, to determine the pedagogical effects of allying the analytical procedures and virtual simulators. It was possible to confirm the beneficial aspects of such methodology, considering that the regular engineering student has already a scientific basis on calculus and analytical process. Such knowledge will support mechanical project decisions, from model development to the analysis, and a sounding background to perform criticism of the results provided by the software.
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Rose, Jacob M. "Decision Aids and Experiential Learning." Behavioral Research in Accounting 17, no. 1 (January 1, 2005): 175–89. http://dx.doi.org/10.2308/bria.2005.17.1.175.
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Rose and Wolfe (2000) demonstrated that decision aid design is critical to learning from decision aids, and aids that produce less cognitive load result in superior learning by aid users compared to aids that produce more cognitive load. The current research investigates whether a tax decision aid has differential affects on the knowledge acquisition of accounting students with varying perceived aptitudes for tax and interest in tax as a career. Results indicate that participants with more interest in and perceived aptitude for tax acquire more tax-related knowledge during manual task completion than participants with less perceived aptitude and interest. Similar to prior research, decision aids generally decrease learning relative to unaided environments. When decision aids do not produce a heavy cognitive load, however, participants with less perceived aptitude for and interest in tax learn as much in aided environments as they learn in unaided environments.
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Silaban, Patri Janson. "EFEKTIVITAS PEMBELAJARAN MELALUI PEMBELAJARAN KOOPERATIF TIPE TGT BERBANTUAN ALAT PERAGA DI KELAS VI SD METHODIST-12 MEDAN PADA KOMPETENSI DASAR LUAS BANGUN DATAR SEDERHANA." Jurnal Ilmiah Aquinas 2, no. 2 (November 5, 2019): 175–99. http://dx.doi.org/10.54367/aquinas.v2i2.548.
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The problem in this study are: (1) teachers use teacher-centered approach to the dominance of expository / lecture, (2) the growing culture through books memorizing formulas without any prior explanation, (3) learning-centered book, (4) lack of methods / media / learning strategies, (5) the dominant cognitive learning (knowledge), (6) students are not motivated in the learning of mathematics, and (7) lack of understanding of students' mathematical abilities of the subject matter of mathematics. The purpose of this study is determine the effectiveness of the student. Formulation of the problem in this study, namely: how the effectiveness of the student?Type of research is action research through cooperative learning TGT aided props as the main target. Where this study seeks to describe the use of cooperative learning TGT props aided in increasing the motivation and ability of students' mathematical understanding through cooperative learning TGT props aided in mathematics in Class VI Elementary School Methodist-12 of Medan. The subjects were students of class VI was 50 of which were 26 men and 24 women in Elementary School Methodist-12 of Medan. Determination of this class is taken based on the observation of the class that will be examined and advice from the principal. Formal object through cooperative learning TGT aided props.Learning effectiveness of students has increased from an average grade 62.48% at the cycle I to 76.04% in the cycle II and become 88.29% in the cycle III. Thus, it can be concluded that through cooperative learning TGT aided props can increase motivation and understanding of students' mathematical abilities in cognitive, affective and psychomotor widely on the subject of flat wake in Class VI Elementary School Methodist-12 of Medan.
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Herawati, Eti. "PEMBELAJARAN STATISTIKA MELALUI PROJECT BASED LEARNING DENGAN BANTUAN MICROSOFT EXCEL UNTUK MENINGKATKAN HASIL BELAJAR PESERTA DIDIK VIII D SMPN UNGGULAN SINDANG INDRAMAYU." M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika 2, no. 1 (February 1, 2017): 29–44. http://dx.doi.org/10.31943/mathline.v2i1.33.
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The aim of this research is to improve the learning outcomes of VIIID students of SMP Negeri Unggulan Sindang Indramayu school year 2014/2015 on Statistic material through Project Based Learning Model-Aided Microsoft Excel. The subjects of this research is VIII D students of SMP Negeri Unggulan Sindang Indramayu school year 2014/2015, consist of 30 students, 19 girls and 11 boys. Data collection techniques in this study using observation sheets, tests, observations, questionnaires, interviews and documentation. Statistics attitude towards learning through Project Based Learning Model-Aided Microsoft Excel mostly been good and very good. Can be seen the percentage of successful the first cycle increased from 86.67% to 100% in the second cycle. Percentage mastery learning outcomes in mathematics learning competency skills is increase. The percentage of successful at first cycle increased from 73% to 86.67% in the second cycle. Learning outcomes based on knowledge an increasing number of which reached KKM cycle I to cycle II. KKM percentage reached 76.67% in the first cycle increased to 86.67% in the second cycle. Based on the research that has been conducted, statistics learning using Project Based Learning Model-Aided Microsoft Excel is able to improve the learning outcomes of class VIIID students of SMP Negeri Unggulan Sindang Indramayu school year 2014/2015. The application of statistical learning using Project Based Learning Model-Aided Microsoft Excel as an alternative model of learning that can be applied to topics and other subjects but required good planning and proper time management.
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Maiti, Ananjan, Biswajoy Chatterjee, Amira S. Ashour, and Nilanjan Dey. "Computer-aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 7 (September 9, 2020): 835–54. http://dx.doi.org/10.2174/1573405615666191210104141.
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Computer-aided diagnosis (CAD) systems are the best alternative for immediate disclosure and diagnosis of skin diseases. Such systems comprise several image processing procedures, including segmentation, feature extraction and artificial intelligence (AI) based methods. This survey highlights different CAD methodologies for diagnosing Melanoma and related skin diseases. It has also discussed types, stages, treatments and various imaging techniques of skin cancer. Currently, researchers developed new techniques to detect each stage. Extensive studies on melanoma cancer detection were performed by incorporating advanced machine learning. Still, there is a high need for an accurate, faster, affordable, portable methodology for a CAD system. This will strengthen the work in related fields and address the future direction of a similar kind of research.
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Pedroso, John Erwin Prado. "School On Wheels and Multimedia-Aided Instructions as Mediators of Students’ Local Cultural Heritage Awareness." International Journal of Arts and Humanities Studies 1, no. 1 (November 23, 2021): 63–69. http://dx.doi.org/10.32996/ijahs.2021.1.1.10.
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Countless stories are told about local heritage sites. Because these stories are one-of-a-kind, they present a significant challenge to students' knowledge and awareness of their cultural background. Furthermore, literature is scarce on students' historical and architectural knowledge of local cultural heritage places. This study determined the level of local cultural heritage sites knowledge of sixty (60) students through school on wheels and multimedia-aided instructions. The study made use of a duly-validated researcher-made Local Cultural Heritage Sites Questionnaire. Frequency count, mean, and standard deviation were the descriptive statistics used while t-test was used for inferential statistics set at 0.05 level of significance using the Statistical Packages for Social Sciences (SPSS) software. The results revealed that the level of students' historical and architectural knowledge of local cultural heritage sites was "moderate" and shifted to "high" when school on wheels and multimedia-aided instructions were introduced. There were significant differences in the historical and architectural knowledge of the students on local cultural heritage sites. Students' knowledge is improved via teaching and learning activities that give experiential and meaningful learning. Increased local cultural heritage knowledge of students is a step forward in promoting cultural heritage conservation and preservation.
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Петерсон, Анастасия Олеговна. "Methodology of Computer-Aided Learning of Mivar Knowledge Base for Computer Understanding of Russian Language." Automation and Control in Technical Systems, no. 4 (January 19, 2015): 109. http://dx.doi.org/10.12731/2306-1561-2014-4-11.
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Samsudin, Samsudin. "APLIKASI COMPUTER AIDED INSTRUCTION (CAI) DALAM PEMBELAJARAN MATEMATIKA BANGUN RUANG." JURNAL TEKNIK INFORMATIKA 10, no. 2 (January 29, 2018): 169–82. http://dx.doi.org/10.15408/jti.v10i2.6995.
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ABSTRAK Pembelajaran merupakan suatu proses pengembangan diri seseorang dalam upaya memperoleh ilmu pengetahuan, keterampilan dan nilai-nilai positif dengan memanfaatkan berbagai sumber ilmu untuk belajar. Untuk mempermudah pembelajaran sehingga memperoleh hasil yang lebih maksimal, maka kita membutuhkan suatu sistem pembelajaran yang baik. Dengan sistem pembelajaran berbantuan komputer atau sering dikenal materi dari pendidik ke para peserta didiknya. Dengan adanya sistem pembelajaran berbantuan komputer maka dibuatlah sebuah sistem pembelajaran untuk menghitung rumus matematika bangun ruang dengan istilah Computer Aided Instruction (CAI), maka sistem pembelajaran ini berfungsi untuk mempermudah proses penyampaian. Dengan adanya sistem pembelajaran ini diharapkan proses pembelajaran menjadi lebih efektif dan menarik. Sehingga nantinya sistem pembelajaran untuk menghitung rumus matematika bangun ruang ini sangat dibutuhkan sebagai sarana penunjang lancarnya proses pembelajaran. ABSTRACT Learning is a process of self-development in an effort to gain knowledge, skills and positive values by utilizing various sources of science to learn. To facilitate learning so as to obtain maximum results, then we need a good learning system. With computer-aided learning system or often known as Computer Aided Instruction (CAI), then this learning system serves to facilitate the process of delivering materials from educators to the students. With the computer-assisted learning system then made a learning system to calculate the mathematical Formula wake up space. With this learning system is expected to be more effective and interesting learning process. So that later the learning system to calculate the mathematical Formula to build this space is needed as a means of supporting the smoothness of the learning process.How to Cite : Samsudin. (2017). APLIKASI COMPUTER AIDED INSTRUCTION (CAI) DALAM PEMBELAJARAN MATEMATIKA BANGUN RUANG. Jurnal Teknik Informatika, 10(2), 93-108. doi:10.15408/jti.v10i2.6995Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i2.6995
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Marpaung, Marwan, Ani Minarni, and Togi Panjaitan. "The Effect of Mathematics Realistic Education Aided by Mathematics Software towards the Process of Solving Mathematical Communication Problems of Junior High School Students." Budapest International Research and Critics in Linguistics and Education (BirLE) Journal 3, no. 3 (August 28, 2020): 1445–55. http://dx.doi.org/10.33258/birle.v3i3.1213.
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One factor that has a big influence on mathematics learning outcomes and how students provide solutions to mathematical problems, among others, is the learning factor as well as initial mathematical knowledge (IMK). So, the objectives of the research are to find out: (1) the influence of the Realistic Mathematics Education (RME) Approach aided by Microsoft Mathematics software on students' mathematical communication ability (MCA), (2) an interaction between IMK and RME approach to mathematical communication ability, (3) the students' completion process in solving mathematical communication problems. The third objective is very important because it can reveal whether horizontal and vertical mathematization as the ideas of RME benefit the students. The results of the research show that: (1) there is a significant effect of the RME Approach aided by Mathematics software on students' mathematical communication ability, (2) there is no significant interaction between the initial mathematical knowledge and the learning approach to students' mathematical communication ability, (3) the students' completion process in solving mathematical communication problems attain the "good" category.
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He, Ying. "Analysis of a Self-learning System of English Flipped Classroom Based on Adaptive Algorithm." International Journal of Emerging Technologies in Learning (iJET) 13, no. 08 (August 30, 2018): 103. http://dx.doi.org/10.3991/ijet.v13i08.9056.
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To solve the problem of how to apply information technology in English education field, to realize the integration of information technology and courses and also to truly improve the study efficiency, the advanced technologies were combined with some education measurement theories and applied in computer-aided test field. In addition, a computer-aided autonomous learning system with adaptive feature was developed, which was a self-adaptive learning system of junior English. The results showed that, under the guidance of the classic test theory and the project response theory, the system was designed and developed on the basis of the “people-oriented” principle. With the increasing number of students wanting to practice, the system dynamically rewrote the relevant learning record parameters, and conducted a real-time record of the true level of ability of each different student in different knowledge points. In a word, practicing according to the actual situation, the learning system can help achieve a truly personalized learning, and meanwhile enhances the efficiency of learning.
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Ai, Lun, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, and Ute Schmid. "Beneficial and harmful explanatory machine learning." Machine Learning 110, no. 4 (March 11, 2021): 695–721. http://dx.doi.org/10.1007/s10994-020-05941-0.
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AbstractGiven the recent successes of Deep Learning in AI there has been increased interest in the role and need for explanations in machine learned theories. A distinct notion in this context is that of Michie’s definition of ultra-strong machine learning (USML). USML is demonstrated by a measurable increase in human performance of a task following provision to the human of a symbolic machine learned theory for task performance. A recent paper demonstrates the beneficial effect of a machine learned logic theory for a classification task, yet no existing work to our knowledge has examined the potential harmfulness of machine’s involvement for human comprehension during learning. This paper investigates the explanatory effects of a machine learned theory in the context of simple two person games and proposes a framework for identifying the harmfulness of machine explanations based on the Cognitive Science literature. The approach involves a cognitive window consisting of two quantifiable bounds and it is supported by empirical evidence collected from human trials. Our quantitative and qualitative results indicate that human learning aided by a symbolic machine learned theory which satisfies a cognitive window has achieved significantly higher performance than human self learning. Results also demonstrate that human learning aided by a symbolic machine learned theory that fails to satisfy this window leads to significantly worse performance than unaided human learning.
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Ali, Touseef, Akshay S. Bondre, and Christ D. Richmond. "Model-aided deep learning-based target detection for channel matrix-based cognitive radar/sonar." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A100. http://dx.doi.org/10.1121/10.0010784.
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Data driven based approaches to signal processing including deep neural networks (DNN) have shown promise in various fields. Such techniques tend to require significant training for good convergence. Model-based approaches, however, provide practical solutions often with insightful and intuitive interpretations. A hybrid approach that employs data driven techniques aided by knowledge from model-based approaches may help reduce required training and improve convergence rates. This work investigates the potential of deep learning techniques to detect targets while accelerating the learning process via use of expert/domain knowledge for the channel matrix based cognitive radar/sonar framework. The channel matrices characterize responses from target and clutter/reverberation. We will leverage our previous work [Ali et al. (2021); (2022)] on model-based adaptive detection approaches for cognitive radar/sonar. We compare the detection performance of model aided deep learning-based algorithms with that of traditional model-based techniques using receiver operating characteristic (ROC) curves from Monte Carlo simulations. We also study and compare the robustness of these techniques by changing the signal-to-interference plus noise ratio (SINR), the number of targets and clutter sources, and the amount of available training data. The effects of choice of hyperparameters and loss functions are also studied.
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Strautmane, Maija. "On Necessity of Semantic Analysis when Evaluating Concept Maps." Applied Computer Systems 21, no. 1 (May 24, 2017): 52–60. http://dx.doi.org/10.1515/acss-2017-0007.
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Abstract Modern technologies have changed the landscape of teaching and learning in many ways, including introduction of computational support for knowledge assessment. Concept maps (CMs) can be used to externalise student’s internal knowledge structure in a form suitable for computer-aided assessment. Current CM-based knowledge assessment systems do not analyse semantics of CM elements. The paper represents a study designed to find out how big is the portion of a CM that is left unevaluated in default of semantic analysis.
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Li, Chuanyou, Xinhang Yang, Shance Luo, Mingzhe Song, and Wei Li. "Towards Domain-Specific Knowledge Graph Construction for Flight Control Aided Maintenance." Applied Sciences 12, no. 24 (December 12, 2022): 12736. http://dx.doi.org/10.3390/app122412736.
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Flight control is a key system of modern aircraft. During each flight, pilots use flight control to control the forces of flight and also the aircraft’s direction and attitude. Whether flight control can work properly is closely related to safety such that daily maintenance is an essential task of airlines. Flight control maintenance heavily relies on expert knowledge. To facilitate knowledge achievement, aircraft manufacturers and airlines normally provide structural manuals for consulting. On the other hand, computer-aided maintenance systems are adopted for improving daily maintenance efficiency. However, we find that grass-roots engineers of airlines still inevitably consult unstructured technical manuals from time to time, for example, when meeting an unusual problem or an unfamiliar type of aircraft. Achieving effective knowledge from unstructured data is inefficient and inconvenient. Aiming at the problem, we propose a knowledge-graph-based maintenance prototype system as a complementary solution. The knowledge graph we built is dedicated for unstructured manuals referring to flight control. We first build ontology to represent key concepts and relation types and then perform entity-relation extraction adopting a pipeline paradigm with natural language processing techniques. To fully utilize domain-specific features, we present a hybrid method consisting of dedicated rules and a machine learning model for entity recognition. As for relation extraction, we leverage a two-stage Bi-LSTM (bi-directional long short-term memory networks) based method to improve the extraction precision by solving a sample imbalanced problem. We conduct comprehensive experiments to study the technical feasibility on real manuals from airlines. The average precision of entity recognition reaches 85%, and the average precision of relation extraction comes to 61%. Finally, we design a flight control maintenance prototype system based on the knowledge graph constructed and a graph database Neo4j. The prototype system takes alarm messages represented in natural language as the input and returns maintenance suggestions to serve grass-roots engineers.
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Oyen, Diane, and Terran Lane. "Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 1091–97. http://dx.doi.org/10.1609/aaai.v26i1.8302.
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Network structure learning algorithms have aided network discovery in fields such as bioinformatics, neuroscience, ecology and social science. However, challenges remain in learning informative networks for related sets of tasks because the search space of Bayesian network structures is characterized by large basins of approximately equivalent solutions. Multitask algorithms select a set of networks that are near each other in the search space, rather than a score-equivalent set of networks chosen from independent regions of the space. This selection preference allows a domain expert to see only differences supported by the data. However, the usefulness of these algorithms for scientific datasets is limited because existing algorithms naively assume that all pairs of tasks are equally related. We introduce a framework that relaxes this assumption by incorporating domain knowledge about task-relatedness into the learning objective. Using our framework, we introduce the first multitask Bayesian network algorithm that leverages domain knowledge about the relatedness of tasks. We use our algorithm to explore the effect of task-relatedness on network discovery and show that our algorithm learns networks that are closer to ground truth than naive algorithms and that our algorithm discovers patterns that are interesting.
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Choi, Iain, and Fann Zhi. "‘Time to Be an Academic Influencer’." Cubic Journal, no. 4 (December 1, 2021): 54–69. http://dx.doi.org/10.31182/cubic.2021.4.038.
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This paper explores how Peer-to-Peer learning can level-up students' understanding of computer-aided design (CAD) with Autodesk Auto- CAD programme for Interior Design Year 1 students. As students come from different knowledge backgrounds, they approach the module with different understanding levels, with the weaker students unable to follow the live demonstration tutorials. A peer tutoring assignment using a student-led peer-to-peer learning pedagogy, was introduced to advance students' understanding and internalise content better by reinforcing their learning. Each group has an equal proportion of students with different levels of knowledge and capabilities, and each group member conducted self-research on a topic segment, shared their knowledge and findings within their group, and thereafter curated a 15-minute lecture and facilitation workshop for peers. Tutors provided consultation and mediation, encouraging students’ participation. The assignment’s results showed that the peer-to-peer learning approach efficaciously empowered students and motivated learning, enabling them to be self-directed learners.
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Liu, Junjun. "Usability of Computer-Aided Translation Software Based on Deep Learning Algorithms." Advances in Multimedia 2022 (April 14, 2022): 1–9. http://dx.doi.org/10.1155/2022/9047053.
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In recent years, due to the development of computer technology and information technology, web technology has changed the mode of translation at an alarming rate. The rapid development of information technology and globalization has increased the demand for translation, especially technical translation, and the use of computer-assisted translation software can greatly improve the quality and efficiency of translation work. The purpose of this article is that under the premise of continuous advancement in computer technology, computer-assisted translation can effectively improve the translation efficiency of translators and the quality of translated text. This article references the practicality of computer translation software as the benchmark and uses computer-aided translation software based on deep learning as the core. At the same time, it introduces the current popular microservice concept to build an electronic computer-assisted translation software based on microservice architecture. Based on the performance of the system, the high availability and scalability of the system are enhanced, so that the entire system can provide stable and efficient computer-assisted translation services for users. At the same time, the usability test method is used to compare and evaluate two common computer-aided translation software, Trados and Wordfast. By observing, recording, and analyzing user behavior and related data, the five attributes of usability can be learned and memorable. The experiments show that the effect of this study on computer-aided software with the help of deep learning knowledge can produce good results, and the robustness and scalability of the software have been enhanced, increasing the competitiveness of the software itself in translation software.
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Mariyana, Ms. "Implementation of TPS Cooperative Learning Model for Improving Student Motivation Using Augmented Reality." IMTECH: Journal of Instructional, Media Education and Technology 1, no. 1 (June 1, 2020): 1–7. http://dx.doi.org/10.47387/imtech.v1i1.8.
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This study aims to study the application of the TPS type of cooperative learning model to increase student motivation in class VII by trying Think Pair Share (TPS). The method used is thinking or thinking, pairing or pairing, sharing, or sharing. TPS type cooperative learning model in increasing student motivation to develop craft knowledge aided by augmented reality vegetable cultivation material. All learning strategies and models that students find and discuss how the construction and contribution of students using teaching materials assisted with augmented reality can be used to help cultivation material.
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Omonayajo, Babatomiwa, Fadi Al-Turjman, and Nadire Cavus. "Interactive and innovative technologies for smart education." Computer Science and Information Systems, no. 00 (2022): 27. http://dx.doi.org/10.2298/csis210817027o.
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New concepts and ideas have emerged in the process of obtaining and disseminating cognitive, ethical, and public knowledge. In the current state of education, learners, tutors, and the knowledge being transferred are all present, and smart education has made the process of acquiring knowledge more flexible. This concept is accomplished through the use of smart devices and technologies that are interconnected to access digital resources. Smart education refers to a new way of learning that has gotten a lot of attention, notably during the 2020 Covid-19 Pandemic. This article examines the technologies that have aided smart education in achieving its educational goals. With smart technological solutions, modern technologies are enhancing the teaching - learning process in today?s education. It is with great hope that the use of modern technologies in smart education will improve educational quality while also making teaching and learning more convenient.
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Vyas, A., and G. Koenig. "Computer Aided Teaching in Photogrammetry, Remote Sensing, and Geomatics – A Status Review." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 113–18. http://dx.doi.org/10.5194/isprsarchives-xl-6-113-2014.
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Education and training play vital role in the utilization of the technology. Shared and coordinated knowledge that geospatial technology and GIS deliver provides a deeper understanding of our present and will also help to better understand our future development. But it is not enough to explain new technological developments during congresses or workshops; it is also necessary to promote these new ideas and to distribute the knowledge by applying new learning strategies.<br><br> This paper will review the status of computer aided teaching advances during the last decade, with a particular emphasis on photogrammetry, remote sensing, and geomatics. Some best practise examples will be presented featuring prominently recent Massive Open Online Courses (MOOCs) related to our fields. The consideration of mainly free online learning resources will include a commentary on quality and perceived effectiveness.
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Schwarzat, Fritz-Jürgen. "E-LEARNING AND GROUPS‐ORIENTED E‐TRAINING, A REPORT OF EXPERIENCE." Technological and Economic Development of Economy 12, no. 3 (September 30, 2006): 246–52. http://dx.doi.org/10.3846/13928619.2006.9637748.
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This contribution reports on experience of media‐supported tutoring in the subject “CAD in steel construction”. A better understanding of the procedures within the design process is reached by using methodologically prepared and media‐supported design solutions. Special attention is paid to the actions involved in e‐training. The calculation and design of a simple steel structure is given as an example. An interactive design‐making support facility offers a structural knowledge base for the respective case. When deciding on a particular design solution, a video sequence of the necessary course of action will be offered in the computer‐aided design process.
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Siti Kholifah, Iwan Koerniawan. "Efektifitas pembelajaran mata kuliah akuntansi bisnis dengan pendekatan Construktivist Learning Design (CLD) berbantuan media E-learning." EQUILIBRIUM : Jurnal Ilmiah Ekonomi dan Pembelajarannya 5, no. 1 (January 3, 2017): 14. http://dx.doi.org/10.25273/equilibrium.v5i1.1002.
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<p><em>Experience the ability of students using their knowledge have that has to review contruktivist the new knowledge is very media-influenced learning used one solution offered to review follow-up to these problems is a concept learning courses through construktivist business accounting teaching. singer study aims to determine the effectiveness of the learning review accounting subjects based business micruled assisted e-learning yang to review valid student learning. population research hearts hearts singer is whole semester students III study program computerized accounting STEKOM semarang. singer is an experimental research operates quasi experimental research (samsudi, 2006: 75) the review aims to improve student academic achievement on subjects accounting subjects who meet criteria for an effective business. tin research findings: (1) there is a positive effect of process skills against students' learning achievement is shown the effect of 55.6% contribution. (2) the learning achievement of the experimental classes more than learning achievement high grade control is shown with average - ratanya that is the average - average class experiment at 78 and the average - average grade control 65.7. so based on the findings of the research and discussion research above and learning business accounting subjects with construktivist aided teaching e-learning on business accounting subjects is effective.</em></p>
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Padarian, José, Budiman Minasny, and Alex B. McBratney. "Machine learning and soil sciences: a review aided by machine learning tools." SOIL 6, no. 1 (February 6, 2020): 35–52. http://dx.doi.org/10.5194/soil-6-35-2020.
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Abstract. The application of machine learning (ML) techniques in various fields of science has increased rapidly, especially in the last 10 years. The increasing availability of soil data that can be efficiently acquired remotely and proximally, and freely available open-source algorithms, have led to an accelerated adoption of ML techniques to analyse soil data. Given the large number of publications, it is an impossible task to manually review all papers on the application of ML in soil science without narrowing down a narrative of ML application in a specific research question. This paper aims to provide a comprehensive review of the application of ML techniques in soil science aided by a ML algorithm (latent Dirichlet allocation) to find patterns in a large collection of text corpora. The objective is to gain insight into publications of ML applications in soil science and to discuss the research gaps in this topic. We found that (a) there is an increasing usage of ML methods in soil sciences, mostly concentrated in developed countries, (b) the reviewed publications can be grouped into 12 topics, namely remote sensing, soil organic carbon, water, contamination, methods (ensembles), erosion and parent material, methods (NN, neural networks, SVM, support vector machines), spectroscopy, modelling (classes), crops, physical, and modelling (continuous), and (c) advanced ML methods usually perform better than simpler approaches thanks to their capability to capture non-linear relationships. From these findings, we found research gaps, in particular, about the precautions that should be taken (parsimony) to avoid overfitting, and that the interpretability of the ML models is an important aspect to consider when applying advanced ML methods in order to improve our knowledge and understanding of soil. We foresee that a large number of studies will focus on the latter topic.
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Felder, E., M. Fauler, and S. Geiler. "Introducing e-learning/teaching in a physiology course for medical students: acceptance by students and subjective effect on learning." Advances in Physiology Education 37, no. 4 (December 2013): 337–42. http://dx.doi.org/10.1152/advan.00158.2012.
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Retrieval of information has substantially changed within the last two decades. Naturally, this has also affected learning/teaching techniques, and methods that are commonly referred to as “e-learning” have become an important part in modern education. Institutions have to decide if (and how) to implement this new form of teaching but face the problem that little subject-specific research has been published for different teaching modes and methods. The present study compares a course module of the physiology laboratory course for medical students in the preclinical phase before and after the introduction of computer-aided course instructions (CACI). Students were provided with an online questionnaire containing Likert items evaluating workspace redesign, acceptance of course instructions, incentive to actively participate in the course, and subjective gain of knowledge. CACI was clearly preferred over the previously used paper workbook. However, the questionnaire also revealed that the gain in knowledge, as subjectively perceived by the students, had not improved, which is in agreement with several studies that neglected a beneficial effect of e-learning on learning success. We conclude that the CACI meet today's student's expectations and that introducing this system seems justified from this perspective.
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Kupferberg, Irit. "DIFFERENTIAL EFFECTS OF EXPLICIT INSTRUCTION ON SECOND LANGUAGE ACQUISITION.Rick de Graaff. Leiden: Holland Institute of Generative Linguistics, 1997. Pp. 234. NLG 40 paper." Studies in Second Language Acquisition 22, no. 1 (March 2000): 117–18. http://dx.doi.org/10.1017/s0272263100241053.
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Is there an interface between explicit and implicit knowledge in L2 acquisition? Rick de Graaff's doctoral dissertation tests this question in an experimental study from a weak interface position. This position indicates that explicit knowledge has a facilitative role in the acquisition of implicit knowledge when it engages the attention of learners and makes them notice input features (Schmidt, 1990). De Graaff studies the effect of explicit computer-aided self-instruction on the acquisition of morphosyntax in Experanto (an artificial language, based on Zamenhoff's Esperanto) and Spanish (as a foreign language) by adult native speakers of Dutch. Acquisition is tested in interaction with five intervening factors that constitute a controlled linguistic, psychological, and pedagogic context (i.e., complexity of structures, rule-based learning in syntax and exemplar-based learning in morphology, familiarity with the structures, availability of explicit knowledge, and learners' aptitude). Experanto is chosen to control for the influence of previous knowledge and contact outside class, and Spanish is chosen to make the results more generalizable.
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Faust, Katerina M., Samantha Carouso-Peck, Mary R. Elson, and Michael H. Goldstein. "The Origins of Social Knowledge in Altricial Species." Annual Review of Developmental Psychology 2, no. 1 (December 15, 2020): 225–46. http://dx.doi.org/10.1146/annurev-devpsych-051820-121446.
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Human infants are altricial, born relatively helpless and dependent on parental care for an extended period of time. This protracted time to maturity is typically regarded as a necessary epiphenomenon of evolving and developing large brains. We argue that extended altriciality is itself adaptive, as a prolonged necessity for parental care allows extensive social learning to take place. Human adults possess a suite of complex social skills, such as language, empathy, morality, and theory of mind. Rather than requiring hardwired, innate knowledge of social abilities, evolution has outsourced the necessary information to parents. Critical information for species-typical development, such as species recognition, may originate from adults rather than from genes, aided by underlying perceptual biases for attending to social stimuli and capacities for statistical learning of social actions. We draw on extensive comparative findings to illustrate that, across species, altriciality functions as an adaptation for social learning from caregivers.
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Alves, Regina, Frederico Tavares, Anete Trajman, and José Seixas. "Applying the Lifelong Machine Learning Paradigm in Tuberculosis Triage." Learning and Nonlinear Models 20, no. 2 (December 31, 2022): 63–73. http://dx.doi.org/10.21528/lnlm-vol20-no2-art5.
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Tuberculosis (TB) and pneumonia, including pneumonia from SARS-CoV-2 infection, are among the main causes of lower respiratory infections, which are the fourth cause of death worldwide. Recently, the World Health Organization recommended the use of computer-aided diagnosis (CAD) software as a tool to analyze chest radiographs (CXR) for TB screening and triage. Most CAD developed to date aim to screen exclusively for TB. This work applies the lifelong machine learning paradigm to detect both pneumonia and TB through CXRs and evaluate the models’ ability to retain and acquire knowledge. Two well-known lifelong learning models, the Efficient Lifelong Learning Algorithm (ELLA) and Learning without Forgetting (LwF), were applied to two public CXR datasets containing TB and pneumonia samples together with healthy CXR samples. Pneumonia detection was learned first and TB detection was learned as second task. The SP index, a function of sensitivity and specificity, was used to evaluate the models. We concluded that both algorithms were able to retain knowledge about pneumonia detection and were also able to learn TB detection.
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Gaudio, Giovana del, Craig N. Refugio, Igor Jurcic, Valentina Della Corte, Debra Ferdinand James, Mohamed Mohamed Tolba Said, Barbara Sawicka, et al. "Designing learning-skills towards industry 4.0." World Journal on Educational Technology: Current Issues 11, no. 2 (April 30, 2020): 150–61. http://dx.doi.org/10.18844/wjet.v11i2.4147.
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The world is shrinking now more than ever due to new scientific and technological breakthroughs that expand the boundaries of human knowledge, resulting in improvements in transportation, communication, space exploration and educational technologies. Today’s students will compete in a technological, diverse, multi-cultural world and must be prepared to thrive in this futuristic environment. Therefore, it is vital that today’s pedagogy produce lifelong learners, who can succeed in a global pulpit. To ensure our educational technology progresses at the rate demanded by today’s ubiquitous digital learners, we review emerging technologies and traditional teaching methods and propose desirable changes. Future companies will need employees with specific Internet of Things connected additive manufacturing skills across the value stream, including computer-aided design, machine operation, raw material development, robotics and supply chain management; but these are only island of excellence in industry 4.0 and not the consummate requirement of the manufacturing process.Keywords: Industry 4.0, IoT, smart teaching, future skills.
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Puthusserry, Pushyarag, Zaheer Khan, Gary Knight, and Kristel Miller. "How Do Rapidly Internationalizing SMEs Learn? Exploring the Link Between Network Relationships, Learning Approaches and Post-entry Growth of Rapidly Internationalizing SMEs from Emerging Markets." Management International Review 60, no. 4 (July 21, 2020): 515–42. http://dx.doi.org/10.1007/s11575-020-00424-9.
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Abstract This article explores learning among rapidly internationalizing small and medium sized enterprises (SMEs) and how this supports the post-internationalization growth and survival of these firms. We utilize a qualitative multiple case study approach of ten information and communication technology (ICT) SMEs from a key emerging market—India. Findings suggest that during the post-entry stage, rapidly internationalizing SMEs use a wide range of internal and external sources of knowledge. External sources of knowledge include peer networks, associations in the same industry, international clients/partners, and international connections developed through trade fairs and trade missions. Internal sources of knowledge such as self-learning, especially from trial-and-error and experiential efforts, were found to enhance product, market and technological knowledge; and consequently aided geographic and product diversification. The findings also indicate that firms use a mix of integrated, vicarious, congenital and experiential learning approaches in their post-entry growth and survival phases. Experiential and congenital learning were found to be facilitated by firms’ internal network sources, whereas external network sources provide an ideal platform for vicarious learning. The study provides new insights into networking and learning by providing evidence that exposure to and connection with diverse types of networks can result in various forms of valuable learning for rapidly internationalizing SMEs, which enhances their post-entry growth.
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Ziatdinov, Rushan, and James R. Valles. "Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics." Mathematics 10, no. 3 (January 27, 2022): 398. http://dx.doi.org/10.3390/math10030398.
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GeoGebra is an interactive geometry, algebra, statistics, and calculus application designed for teaching and learning math, science, and engineering. Its dynamic interface allows its users to accurately and interactively visualize their work, models, and results. GeoGebra employs the synthesis of three key features: modeling, visualization, and programming (MVP). Many studies have shown the positive effects of GeoGebra on the efficiency and effectiveness of learning and teaching topics related to science, technology, engineering, and mathematics. In this study, we discuss how GeoGebra provides an environment for learning that is very interactive and collaborative between the learner and the instructor. We also show how integrating GeoGebra into the learning scheme can help improve the skills and knowledge of school and university students in numerous advanced mathematical courses, such as calculus, mathematical statistics, linear algebra, linear programming, computer-aided design, computer-aided geometric design, analytic and projective geometry, and graphical representation. Therefore, this study shows the effectiveness of GeoGebra and its MVP key features in science and engineering, particularly in topics related to mathematics. Each key feature of GeoGebra is thoroughly analyzed, and further analyses, along with how GeoGebra can be helpful in different topics, are discussed.
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Steyn, M. M. de V. "Die gebruik van rekenaars in tersiere chemieonderrig." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 15, no. 2 (July 10, 1996): 82–93. http://dx.doi.org/10.4102/satnt.v15i2.638.
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The implementation of computers in chemistry education since 1960 is described. Computers can be applied effectively to redress weaknesses in the basic scientific knowledge of students, as well as to augment their practical experience of chemical processes. Often the description or the explanation of chemical processes relies on mathematical and physical models that are three dimensional and dynamic and that can be presented elegantly with digitized images on computer. Current demands on lecturers and students, as well as didactic applications of computers in tertiary teaching are briefly described under the following headings: computer literacy, subject or task specific applications, computer aided testing, computer aided learning, interactive multimedia, the use of electronic media for lecture presentations, Internet, and mass education.
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Singh, Ninni, Vinit Kumar Gunjan, Ramana Kadiyala, Qin Xin, and Thippa Reddy Gadekallu. "Performance Evaluation of SeisTutor Using Cognitive Intelligence‐Based “Kirkpatrick Model”." Computational Intelligence and Neuroscience 2022 (April 16, 2022): 1–14. http://dx.doi.org/10.1155/2022/5092962.
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The classroom learning environment facilitates human tutors to interact with every learner and get the opportunity to understand the learner’s psychology and then provide learning material (access learner prior knowledge and well align the learning material as per learner requirement) to them accordingly. Implementing this cognitive intelligence in intelligent tutoring system is quite tricky. This research has focused on mimicking human tutor cognitive intelligence in the computer-aided system of offering an exclusive curriculum to the learners. The prime focus of this research article is to evaluate the proposed SeisTutor using Kirkpatrick’s four-phase evaluation model. Experimental results depicting the enhanced learning gain through intelligence incorporated SeisTutor as against the intelligence absence are demonstrated.