Academic literature on the topic 'Schedules, School Data processing'

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Journal articles on the topic "Schedules, School Data processing"

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Sunoto, Imam, and Lukman Lukman. "Implementasi Metode FIS Mamdani Pada Aplikasi Jadwal Mengajar Guru Di SMK Adi Luhur 2 Jakarta." PETIR 12, no. 2 (September 26, 2019): 303–12. http://dx.doi.org/10.33322/petir.v12i2.468.

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Scheduling subjects in a school can support, facilitate and enhance the quality of a school. Subject scheduling generally functions for activities in facilitating the quality of teaching teachers and students in order to create discipline in school performance activities. Along with increasing hours of subjects that require precise and fast accuracy in processing data can also speed up time. In general, the data processing of scheduling subjects at Adi Luhur 2 Vocational School 2 is still done manually and there is often a lack of schedule due to the teacher being absent or teaching in school, so a computerized information system is needed where everything can be done correctly. For that we need a system that can determine the scheduling of subjects so that there is no conflict with other teaching schedules. In this study, Mamdani's fuzzy infrence system (fis) logic is used. With the existence of a teaching schedule management system with fuzzy mamdani method approach more accurately in accordance with the best conditions of the teacher concerned. The results of this study are in the form of a prototype that can process input in the form of teacher's willingness to arrange teaching schedules at Adi Luhur 2 Vocational School Jakarta.
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Nur, Jabal, M. Arif Suryawan, and Rahmawati Ibandi. "SISTEM INFORMASI PENDATAAN GURU DAN SISWA MTsN 1 BUTON BERBASIS WEB." JURNAL INFORMATIKA 8, no. 2 (September 3, 2020): 23. http://dx.doi.org/10.55340/jiu.v8i2.148.

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<p><em>Madrasah Tsanawiyah Negeri (MTsN) 1 Buton School is a government agency engaged in education that is appointed to the general public as one of the high schools in Buton district. Student and teacher data management in MTsN 1 Buton is less efficient still using manual methods where student and teacher data is still written into a ledger so data collection is inaccurate and there is a possibility of data damage or data loss. The purpose of this study was to create a teacher and student data collection system on web-based Buts 1 MTsN to assist the school in processing information related to student and teacher data. Data collection methods used were observation and interviews with the Principal of MTsN 1 Buton and the administration section at the school. The results showed that with this research it can help the performance of the MTsN 1 Buton school and can produce data of students and teachers including data on student and teacher identity, teacher subjects, homeroom teachers, class schedules, class input, managing student grades and making teacher and student data reports efficiently and accurately.</em></p>
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Nadhira, Faza, Moh Iwan Wahyuddin, and Ratih Titi Komala Sari. "Penerapan Metode Agile Scrum Pada Rancangan SisIAM4." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 1 (January 25, 2022): 560. http://dx.doi.org/10.30865/mib.v6i1.3525.

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Development of web based information systems is grown very rapidly, one of which can help the process of processing information and data, to improve performance in various fields, including in the academic. This research aims to design a web-based academic information system in schools to make it easier for Muhammadiyah 4 High School to manage student values, as well as improve students in seeing grades and schedules online. In making this website using the Hypertext Preprocessor (PHP) programming language, MySQL as a database and CodeIgniter framework, and Visual Studio Code as a medium for writing coding. The method used in making this application is Agile software development with a Scrum model and application testing using the White box testing method. With the creation of this information system is expected to help schools in managing academic data.
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Ferry, F., Dedy Prasetya Kristiadi, and S. Sutrisno. "E-Teach : Mobile Application Teaching Administrative System Using Near Field CommunicationN (NFC)." IJISTECH (International Journal of Information System and Technology) 5, no. 4 (December 30, 2021): 387. http://dx.doi.org/10.30645/ijistech.v5i4.156.

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Teaching administration is a teacher's needs that are recorded or recorded into files stored by the school curriculum section. Teaching administration is in the form of lesson plans per semester made by the teacher to be applied based on the planned subject matter. Archiving of learning outcomes data and teaching materials is often ignored so that teachers do not provide subject matter according to the study plan and evaluation of learning outcomes is not satisfactory. In addition, the teacher administration file is a need for school accreditation which is a benchmark for the education office's assessment, which is a serious concern for schools in making reports in their work units. To reduce administrative errors, loss of data and the effectiveness of teaching services and assist teachers in managing lesson plans and evaluating learning outcomes, a tool that is able to provide solutions is needed. Near Field Communication, abbreviated as NFC, is a development tool for Bluetooth and RFID. NFC allows the phone to store important data securely and sent to other phones equipped with NFC or read by an NFC reader. In addition, this NFC allows mobile phones to be developed for the administration of school payments as well as giving class schedules to students. In this study, a teaching administration system based on Near Field Communication (NFC) has been developed using the Raspberry Pi as a microcontroller as well as a computer capable of applying web-based programs. Electronic teaching administration with NFC is expected to replace conventional teaching administration. The advantages of NFC-based E-Teach are that it takes a short time to use, does not depend on internet access and is easy in delivering teacher administration to those in need. Study plan data processing and evaluation of student learning outcomes are faster, more accurate and integrated with the management of education providers.
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Abdullah, Yusuf, and Akhmad Shunhaji. "Manajemen Pembelajaran Daring Program Tahfizh Al-Qur’an Pada Masa Kenormalan Baru Di Al-Wafi Islamic Boarding School." Thawalib: Jurnal Kependidikan Islam 3, no. 2 (October 5, 2022): 103–18. http://dx.doi.org/10.54150/thawalib.v3i2.79.

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This study aims to determine the management of courageous learning in the tahfizh Al-Qur'an program at Al-Wafi Islamic Boarding School in the new normal. The research was conducted with a case study approach. Collecting data by interview, observation and documentation. Data processing with reduction, displaying data and drawing conclusions. The results showed: (1) learning planning in the form of preparing halaqah tahfizh groups, schedules, methods and learning media. Implementation of learning, combining classical learning with ZOOM and individual learning with WhatsApp. In addition, it is also equipped with learning supervision using Google Sheets. The learning evaluation consists of evaluating the learning process by evaluating and evaluating learning outcomes using a summative evaluation model through semester exams and evaluation through juz incremental exams. (2) Second, the effectiveness of the learning process is seen from two things, first, it is boldly not more effective because it is influenced by students' motivation, students' honesty, parental support at home, teacher competence and adequate facilities. Second, learning applications, WhatsApp and ZOOM Cloud Meeting have high effectiveness and are even the best applications according to their functions. In the Google Spreadsheet application, it is used as an alternative as a tool to create a form of learning tahfizh Al-Qur'an.
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Zukhrufin, Fina Kholij, Saiful Anwar, and Umar Sidiq. "Desain Pembelajaran Akhlak dalam Pendidikan Agama Islam di SMPN 1 Kauman Ponorogo." JIE (Journal of Islamic Education) 6, no. 2 (November 2, 2021): 126. http://dx.doi.org/10.52615/jie.v6i2.201.

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This study aims to describe and provide understanding to the general public about designs and methods in shaping morals in school children through the subject of Islamic Religious Education. This study uses qualitative methods, namely descriptive research. Data obtained through the processing of data from respondents with observations and interviews, detailed data analysis by coding the data, namely the process of processing data or information material into written segments before interpreting it. The results showed several ways that were used in shaping student morals at SMPN 1 Kauman, including; Teachers participate in religious activities held at schools, teachers participate in making rules and schedule each activity they do, habituation through PAI material which is usually described in class, Habitual prayer dzuhur in congregation, BTQ (read and write Al-Qur'an 'an), Tahfidz (memorizing Al-Qur'an) and Kultum Friday morning. In this way, students of SMPN 1 Kauman were successfully implanted.
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Sun, Baoshi, Qiaoli Zhang, and Shi Cao. "Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom." International Journal of Environmental Research and Public Health 17, no. 4 (February 13, 2020): 1217. http://dx.doi.org/10.3390/ijerph17041217.

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Illumination is one of the most important environmental factors in the classroom. Researchers have discovered that lighting settings have significant impact on students’ performance. Although light-emitting diode (LED) lighting systems can precisely control brightness level and correlated color temperature (CCT), existing designs of LED lighting control systems for classrooms are focused on energy-saving but lack context-based illumination control ability. In this study, a smart lighting system with continuous evolution capability was developed. It can adjust brightness, CCT, and illuminance distribution dynamically according to specific learning context. This system allows not only manual control, but also automatic switching of scenes by integrating with school schedules. Based on existing knowledge about lighting preference, 10 lighting modes confined in the comfortable zone of Kruithof curve were proposed for various classroom scenarios. Moreover, a classroom environmental data-processing framework for collecting and analyzing learning context, illumination settings, environmental data, and students’ performance data was introduced. This framework can help researchers explore the correlation between student performance and environmental parameters.
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Siregar, Tiur Malasari, Dian Armanto, and Suci Frisnoiry. "Development of multimedia-based digital laboratory project center (CoLaP)." Journal of Education, Health and Sport 12, no. 9 (September 20, 2022): 867–75. http://dx.doi.org/10.12775/jehs.2022.12.09.100.

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Designing Digital Center of Laboratory Project (CoLaP) a Multimedia-based can be used as a learning publication tool for students, lecturers, schools and other institutions and make the Mathematics Lab a source of information that can be a learning tool related to learning media, data processing and making learning media, Designing digital laboratory textbooks by elaborating several media, seeing feasibility, attractiveness and effectiveness of its use in Digital Center Of Laboratory Project (CoLaP) Multimedia-based. The method used in the process of making the Center of Laboratory Project (CoLaP) website is based on WDLC (Web Development Life Cycle) with 7 stages of development. Based on the research results, the creation of a digital library system for mathematics education which we call Digitalusing CoLaPWDLC. This digital CoLaP system produces a system that can be used by students, laboratory assistants, lecturers in viewing RPS and lecture contracts, viewing textbooks, viewing media, viewing lecture schedules or lab use, Lab activities, laboratory assistants can validate student data, process student data, upload the schedule for the use of the lab, the schedule of lecturers and students on duty by logging in first into the system. Based on the test results given that students and lecturers respond well to the creation of the Digital CoLaP Web system. Students and lecturers find it helpful to make it easier to carry out the lecture process, starting with the lecture schedule, laboratory lecture tools are available.
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Grepon, Benzar Glen, Niño Baran, Kenn Migan Vincent Gumonan, Aldwin Lester Martinez, and Mona Liel Lacsa. "Designing and Implementing e-School Systems: An Information Systems Approach to School Management of a Community College in Northern Mindanao, Philippines." International Journal of Computing Sciences Research 6 (January 1, 2022): 792–808. http://dx.doi.org/10.25147/ijcsr.2017.001.1.74.

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Purpose–Colleges and Universities have been established to provide educational services to the people. Like any other organization, the school has processes and procedures similar to business or industry that involve admissions, processing of data, and generation of reports. Those processes are made possible through a centralized system in storing, processing, and retrieval of data and information, the majority of the schools in the country are already adopting computer-based systems to address their needs especially on their student and school-related transactions. The absence of a computer system and the complexity of the transactions of the college which makes the personnel be loaded with paper works in storingand keeping student records and information is the motivating factor why the School Management Information System has been designed and developed for a community college in the northern part of Mindanao.Method-This paper discusses the Major Functionalities and Modules of the systemthroughits implementation methodology which is the AgileModel and its impact on the delivery of services and procedures in the overall operation of the college.Results–The project has been evaluated based on ISO 25010,a quality model used for product/software quality evaluation systems. Based on the results of the evaluation, SMIS has been Functional, Usable, and Reliable with an average for every criterion above 4.04indicating very good performance based on a Likert scale descriptive interpretation.Conclusion–Based on the preceding findings of the study, the respondents agreed that the developed e-school system was functional and lifted the transaction process of the school. The faculty and staff have benefited from making use of the system. The overall quality and performance of the system was verygood in terms of functionality, usability, andreliability.Recommendations–It is recommended that future development such as the smartphone and tablet-based attendance monitoring should be integrated, a kiosk for grades and schedule viewing should also be placed inside the campus that is connected to the database server. Online student information systems should also be developed for the benefit of the students and parents, in easily monitoring school-related activities and requirements.Research Implications–The study enabled the centralization of school and student data in storing, processing and retrieval. The System has been implemented in the college and has been updated now and then for continuous quality improvement.
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Patton, Declan A., Colin M. Huber, Catherine C. McDonald, Susan S. Margulies, Christina L. Master, and Kristy B. Arbogast. "Video Confirmation of Head Impact Sensor Data From High School Soccer Players." American Journal of Sports Medicine 48, no. 5 (March 4, 2020): 1246–53. http://dx.doi.org/10.1177/0363546520906406.

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Background: Recent advances in technology have enabled the development of head impact sensors, which provide a unique opportunity for sports medicine researchers to study head kinematics in contact sports. Studies have suggested that video or observer confirmation of head impact sensor data is required to remove false positives. In addition, manufacturer filtering algorithms may be ineffective in identifying true positives and removing true negatives. Purpose: To (1) identify the percentage of video-confirmed events recorded by headband-mounted sensors in high school soccer through video analysis, overall and by sex; (2) compare video-confirmed events with the classification by the manufacturer filtering algorithms; and (3) quantify and compare the kinematics of true- and false-positive events. Study Design: Cohort study; Level of evidence, 2. Methods: Adolescent female and male soccer teams were instrumented with headband-mounted impact sensors (SIM-G; Triax Technologies) during games over 2 seasons of suburban high school competition. Sensor data were sequentially reduced to remove events recorded outside of game times, associated with players not on the pitch (ie, field) and players outside the field of view of the camera. With video analysis, the remaining sensor-recorded events were identified as an impact event, trivial event, or nonevent. The mechanisms of impact events were identified. The classifications of sensor-recorded events by the SIM-G algorithm were analyzed. Results: A total of 6796 sensor events were recorded during scheduled varsity game times, of which 1893 (20%) were sensor-recorded events associated with players on the pitch in the field of view of the camera during verified game times. Most video-confirmed events were impact events (n = 1316, 70%), followed by trivial events (n = 396, 21%) and nonevents (n = 181, 10%). Female athletes had a significantly higher percentage of trivial events and nonevents with a significantly lower percentage of impact events. Most impact events were head-to-ball impacts (n = 1032, 78%), followed by player contact (n = 144, 11%) and falls (n = 129, 10%) with no significant differences between male and female teams. The SIM-G algorithm correctly identified 70%, 52%, and 66% of video-confirmed impact events, trivial events, and nonevents, respectively. Conclusion: Video confirmation is critical to the processing of head impact sensor data. Percentages of video-confirmed impact events, trivial events, and nonevents vary by sex in high school soccer. Current manufacturer filtering algorithms and magnitude thresholds are ineffective at correctly classifying sensor-recorded events and should be used with caution.
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Dissertations / Theses on the topic "Schedules, School Data processing"

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Goltz, Hans-Joachim, and Norbert Pieth. "A tool for generating partition schedules of multiprocessor systems." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4155/.

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A deterministic cycle scheduling of partitions at the operating system level is supposed for a multiprocessor system. In this paper, we propose a tool for generating such schedules. We use constraint based programming and develop methods and concepts for a combined interactive and automatic partition scheduling system. This paper is also devoted to basic methods and techniques for modeling and solving this partition scheduling problem. Initial application of our partition scheduling tool has proved successful and demonstrated the suitability of the methods used.
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Planteu, Lukas, Bernhard Standl, Wilfried Grossmann, and Erich Neuwirth. "Integrating school practice in Austrian teacher education." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6462/.

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We present a concept of better integration of practical teaching in student teacher education in Computer Science. As an introduction to the workshop different possible scenarios are discussed on the basis of examples. Afterwards workshop participants will have the opportunity to discuss the application of the aconcepts in other settings.
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Ceccucci, Wency A. "Decision support systems design: a nursing scheduling application." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/40303.

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Silva, Marcos 1953. "The introduction of computer networking and activities in K-12 classrooms : a case study of a secondary school." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35943.

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The purpose of this research is to document data on the implementation and integration of computer networking capabilities and activities in regular classrooms, looking specifically at the expectations and concerns of those involved (school administrators and teachers), and at the issue of integrating the networking capabilities with the regular curriculum. The outcomes of the research will be recommendations on practices that produce successful or unsuccessful implementation of network-based classroom activities. Particular attention is given to Internet-based K--12 classroom activities and to the creation of electronic communities of learners.
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Phipps, Owen Dudley. "The use of a database to improve higher order thinking skills in secondary school biology: a case study." Thesis, Rhodes University, 1994. http://hdl.handle.net/10962/d1003696.

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The knowledge explosion of the last decade has left education in schools far behind. The emphasis in schools must change if they are to prepare students for their future lives. Tertiary institutions as well as commerce and industry need people who have well-developed cognitive skills. A further requirement is that the school leaver must have skills pertaining to information processing. The skills that are required are those which have been labelled higher order thinking skills. The work of Piaget, Thomas and Bloom have led to a better understanding of what these skills actually are. Resnick sees these skills as being: nonalgorithmic; complex; yielding multiple solutions; involving nuanced judgements; involving the application of multiple criteria; involving uncertainty; involving self-regulation of the thinking process; imposing meaning and being effortful. How these can be taught and the implication of doing so are considered by the researcher. The outcome of this consideration is that higher order - thinking entails communication skills, reasoning, problem solving and self management. The study takes the form of an investigation of a particular case: whether a Biology field trip could be used as a source of information, which could be handled by a computer, so that higher order thinking skills could be acquired by students. Students were instructed in the use of a Database Management System called PARADOX. The students then went on an excursion to a Rocky Shore habitat to collect data about the biotic and abiotic factors pertaining to that ecosystem. The students worked in groups sorting data and entering it into the database. Once all the data had been entered the students developed hypotheses and queried the database to obtain evidence to substantiate or disprove their hypotheses. Whilst this was in progress the researcher obtained data by means of observational field notes, tape recordings, evoked documents and interviews. The qualitative data was then arranged into classes to see if it showed that the students were using any of the higher order thinking skills. The results showed that the students did use the listed higher order thinking skills whilst working on the database.
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Weise, Martin. "A model for teaching informatics to German secondary school students in English-language bilingual education." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6456/.

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Informatics as a school subject has been virtually absent from bilingual education programs in German secondary schools. Most bilingual programs in German secondary education started out by focusing on subjects from the field of social sciences. Teachers and bilingual curriculum experts alike have been regarding those as the most suitable subjects for bilingual instruction – largely due to the intercultural perspective that a bilingual approach provides. And though one cannot deny the gain that ensues from an intercultural perspective on subjects such as history or geography, this benefit is certainly not limited to social science subjects. In consequence, bilingual curriculum designers have already begun to include other subjects such as physics or chemistry in bilingual school programs. It only seems a small step to extend this to informatics. This paper will start out by addressing potential benefits of adding informatics to the range of subjects taught as part of English-language bilingual programs in German secondary education. In a second step it will sketch out a methodological (= didactical) model for teaching informatics to German learners through English. It will then provide two items of hands-on and tested teaching material in accordance with this model. The discussion will conclude with a brief outlook on the chances and prerequisites of firmly establishing informatics as part of bilingual school curricula in Germany.
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Hagedorn, Benjamin, Michael Schöbel, Matthias Uflacker, Flavius Copaciu, and Nikola Milanovic. "Proceedings of the fall 2006 workshop of the HPI research school on service-oriented systems engineering." Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2009/3305/.

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1. Design and Composition of 3D Geoinformation Services Benjamin Hagedorn 2. Operating System Abstractions for Service-Based Systems Michael Schöbel 3. A Task-oriented Approach to User-centered Design of Service-Based Enterprise Applications Matthias Uflacker 4. A Framework for Adaptive Transport in Service- Oriented Systems based on Performance Prediction Flavius Copaciu 5. Asynchronicity and Loose Coupling in Service-Oriented Architectures Nikola Milanovic
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Ngai, Kin-fai, and 魏建輝. "An appraisal of computer-based management information systems in Hong Kong secondary schools with emphasis on human resource factors." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B31956154.

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Hill, Rachelle Phelps. "A Case Study of the Impact of the Middle School Data Coach on Teacher Use of Educational Test Data to Change Instruction." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33164/.

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With the advent of No Child Left Behind (NCLB) legislation in 2002 and its attendant increases in accountability pressure, many districts and schools currently embrace data analysis as an essential part of the instructional decision making process. In their attempts to overcome low achievement on state-mandated tests, some districts have begun employing data coaches. The study reported here, which was set in three middle schools in a northeast Texas school district, assessed the influence of the campus data coach on a middle school mathematics teachers' use of analyzed data to make instructional decisions. It also examined the extent to which the Data Coach/teacher relationship resolved teacher concerns about data-driven decision making. Phenomenological interviews with data coaches were guided by Seidman's (2006) three-series interview. Measurement of teacher use of data to make decisions was based on the concerns-based adoption model's levels of use interview protocol, stages of concern questionnaire, and innovation configuration map. By the end of one school year, two out of the three teachers never used data to make instructional decisions, although the non-users both had moved closer toward employing the innovation in their classroom. Data indicated all teachers were aware of the innovation, but all three ended the study with high personal concerns, signifying that the minimal efforts made by the data coaches to resolve concerns were not successful. This study's small sample gave the research paradigm of data-based decision making an in-depth glimpse into the process of implementing data-based instructional decision making and the Data Coach position on three middle school campuses in one large northeast Texas district.
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Paul, James R. M. "The design and use of a data base for the teaching of history at primary school level." Thesis, Rhodes University, 1994. http://hdl.handle.net/10962/d1003371.

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The changes brought about by society's move from an industrial to an information society has brought with it changes in the way that society operates - from the way we do business to the way we entertain ourselves and, increasingly, in the way we educate our children. That the society of tomorrow requires new skills to survive and operate had been, and continues to be, debated in a growing number of books and in the popular media. More and more educationists are calling for schools to 'restructure' so as to be able to provide the skills that this new society requires, especially those related to the management of information. The nature of these skills are discussed, together with the potential provided by information technology, particularly computers, to provide them. The current use of computers in schools is addressed, together with the apparent inability of schools to generate effective change from within using in-service training. The researcher suggests that this makes it imperative that teacher training institutions provide the next generation of teacher-trainees with a thorough understanding of the requirements of an information society and the tools that it uses. The research undertaken attempted to provide final year primary education teacher-trainees with one example of the way in which the electronic database can be used to change the teaching of history. By researching in the field and entering data into a data base, the teacher-trainees were able to look at information in new ways. By selecting and sorting data by different fields, they were able to act as ' true' historians - each interacting with the data in his or her own way to extract knowledge that is arguably unique for each participant. The data base was then used with a class of standard four pupils, with the researcher acting as participant observer. The reactions and responses of the pupils to the data was noted and these are discussed in the results . A non-participant observer, also a primary school history -teacher, provided input with respect to the validity of the learning experience and to act as a control. The research is described, together with the observations of the researcher, teacher-trainees and pupils involved. The observations of the non-participant observer are also discussed. Shortfalls and difficulties encountered are pointed out, and areas for further research suggested.
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Books on the topic "Schedules, School Data processing"

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Chambers, B. Keith. Computer applications for school administrators. Lancaster, Pa., U.S.A: Technomic Pub. Co., 1994.

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S, Cheever Daniel, ed. School administrator's guide to computers in education. Reading, Mass: Addison-Wesley Pub. Co., 1986.

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Beth, Mandinach Ellen, Honey Margaret, and Center for Children and Technology (Education Development Center), eds. Data-driven school improvement: Linking data and learning. New York: Teachers College Press, 2008.

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1952-, Bernhardt Victoria L., ed. Data analysis for continuous school improvement. 2nd ed. Larchmont, NY: Eye On Education, 2004.

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Data data everywhere: Bringing it all together for continuous school improvement. Larchmont, NY: Eye on Education, 2008.

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Willows, David. Effective data management for schools. Woodbridge, Suffolk: John Catt Educational Ltd, 2012.

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H, MacCallum M. A., and Wright Francis J, eds. Algebraic computing with REDUCE: Lecture notes from the First Brazilian School on Computer Algebra. Oxford [England]: Clarendon Press, 1991.

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CERN, School of Computing (1984 Aiguablava Spain). Proceedings: 1984 CERN School of Computing, Aiguablava, Catalonia, Spain, 9-22 September 1984. Geneva: CERN European Organization for Nuclear Research, 1985.

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American Association of School Administrators., ed. Using data to make better educational decisions. Lanham, Md: Scarecrow Press, 2002.

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Group, MMA Consulting. Massachusetts school-municipal data processing expo: Program guide and workbook. Boston: MMA Consulting Group, 1988.

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Book chapters on the topic "Schedules, School Data processing"

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Nguyen, Thai Son, Hoang Thanh Duong, and Khanh Duy Nguyen. "Automatic Generation of Course Schedules Using Genetic Algorithm." In Artificial Intelligence in Data and Big Data Processing, 37–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97610-1_4.

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Kirstein, Fabian, Dario Bacher, Vincent Bohlen, and Sonja Schimmler. "Ronda: Real-Time Data Provision, Processing and Publication for Open Data." In Lecture Notes in Computer Science, 165–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84789-0_12.

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AbstractThe provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.
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Wilczyński, Andrzej, and Joanna Kołodziej. "Blockchain-Based Task and Information Management in Computational Cloud Systems." In Cybersecurity of Digital Service Chains, 162–201. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04036-8_8.

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AbstractBlockchain can be successfully utilised in diverse areas, including the financial sector and the Information and Communication Technology environments, such as computational clouds (CC). While cloud computing optimises the use of resources, it does not (yet) provide an effective solution for the secure hosting scheduling and execution of large computing and data applications and prevention of external attacks.This chapter briefly reviews the recent blockchain-inspired task scheduling and information processing methods in computational clouds. We pay special attention to security, intrusion detection, and unauthorised manipulation of tasks and information in such systems. As an example, we present the implementation of a new blockchain-based scheduler in the computational cloud. We defined a new Proof of Schedule consensus algorithm, which works with the Stackelberg game, regulates checking and adding new blocks to the blockchain, and determines how to validate schedules stored in transactions. The proposed model assumes competition between different schedule providers. The winner of such a competition takes account of the client’s requirements faster and prepares an optimal schedule to meet them. The presented scheduler extends the possibilities of using different scheduling modules by the end-users. By delegating the preparation of the schedules, providers can get benefits only for that, without executing customer tasks.
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Guevara, Ivan, Hafiz Ahmad Awais Chaudhary, and Tiziana Margaria. "Model-Driven Edge Analytics: Practical Use Cases in Smart Manufacturing." In Lecture Notes in Computer Science, 406–21. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19762-8_29.

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AbstractIn the Internet of Things (IoT) era, devices and systems generate enormous amounts of real-time data, and demand real-time analytics in an uninterrupted manner. The typical solution, a cloud-centred architecture providing an analytics service, cannot guarantee real-time responsiveness because of unpredictable workloads and network congestion. Recently, edge computing has been proposed as a solution to reduce latency in critical systems. For computation processing and analytics on edge, the challenges include handling the heterogeneity of devices and data, and achieving processing on the edge in order to reduce the amount of data transmitted over the network.In this paper, we show how low-code, model-driven approaches benefit a Digital Platform for Edge analytics. The first solution uses EdgeX, an IIoT framework for supporting heterogeneous architectures with the eKuiper rule-based engine. The engine schedules fully automatically tasks that retrieve data from the Edge, as the infrastructure near the data is generated, allowing us to create a continuous flow of information. The second solution uses FiWARE, an IIoT framework used in industry, using IoT agents to accomplish a pipeline for edge analytics. In our architecture, based on the DIME LC/NC Integrated Modelling Environment, both integrations of EdgeX/eKuyper and FiWARE happen by adding an External Native DSL to this Digital Platform. The DSL comprises a family of reusable Service-Independent Building blocks (SIBs), which are the essential modelling entities and (service) execution capabilities in the architecture’s modelling layer. They provide users with capabilities to connect, control and organise devices and components, and develop custom workflows in a simple drag and drop manner.
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Rietjens, Sebastiaan. "Intelligence in Military Missions: Between Theory and Practice." In Handbook of Military Sciences, 1–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-02866-4_96-1.

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AbstractIntelligence is the primary mechanism that military organizations use to generate understanding and its main purpose is to provide information to decision-makers such as commanders that may help illuminate their decision options. This chapter assesses the role of intelligence in military missions, more specifically the counterinsurgency and stabilizations missions that took place in, for example, former Yugoslavia, Iraq, Afghanistan, and Mali.The chapter starts by addressing the changing and increasingly complex nature of many of the conflicts from the 1990s onwards. It explores how this has influenced the use of intelligence and presents two distinct schools of thought. The first school of thought, referred to as Jominian intelligence, tries to unravel the operational environment in a systematic way and regards the intelligence challenges as a series of problems with definite solutions. The second school of thought, referred to as Clausewitzian intelligence, argues that the goal of intelligence is to assess uncertainty and reach a deliberate judgment.The main body of the chapter then analyzes the intelligence process and identifies several of the main intelligence issues within military missions. The intelligence process starts with the direction phase in which policy makers, military commanders, or planners state their needs, often referred to as information requirements. Several issues complicate such direction, including (1) the comprehensive focus of many current military missions, (2) their abstract and ambiguous strategic objectives and expectations, and (3) the military’s unfamiliarity with the area of operations.In the second phase of the intelligence process, the necessary information is collected. In addition to consulting their archives and databases, military units often have a plethora of means, both technical and human, available to collect information. Cross-cultural competencies are of crucial importance, in particular, during the collection phase.The third phase of the intelligence process, labeled processing, turns raw data into intelligence. During the processing phase, the data are analyzed in order to gain understanding or insight. This exceeds the registration of events, but includes understanding the meaning of these events as well as their importance.The fourth and final phase is dissemination of intelligence. Here, the relationship between the producers and consumers of intelligence during military missions is explored. This includes the reasons why consumers sometimes do not fully accept the intelligence they receive.The chapter concludes with an agenda for research on military intelligence. It calls, for example, for a more eclectic author base; multidisciplinary as well as comparative research; increased attention to oversight, ethics, and open source intelligence; and more emphasis on intelligence within the navy, special forces, and constabulary forces.
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Khachatryan, George A. "The Future of Instruction Modeling." In Instruction Modeling, 205–28. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190910709.003.0010.

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Instruction modeling is still in its early stages. This chapter discusses promising directions in which instruction modeling could develop in coming years. This includes increasing the richness of interfaces used in instruction modeling programs (e.g., by allowing students to enter responses in free form and have them graded via natural language processing); applying instruction modeling to subjects beyond mathematics, including English, foreign language, and science; using educational data mining to create automated “coaches” to help teachers better implement instruction modeling programs in their classrooms; creating approaches to instruction modeling that allow for rapid authorship of content; redesigning schools (in schedules as well as architecture) to optimize the use of instruction modeling; and putting in place government policies to encourage the use of comprehensive blended learning programs (such as those developed through instruction modeling).
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Budhia, Divya, and Tushinder Preet Kaur. "Obstacles in Female School Education." In Advances in Information Security, Privacy, and Ethics, 148–66. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5250-9.ch008.

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The importance of female education is gaining popularity among individuals, societies, and nations. They are getting full support from their families and society members as well. Government has also initiated many schemes to encourage female education, but still girls face many obstacles in their attainment of school education. The present study aims to bring to the fore the problems faced by girls while pursuing school education. A survey was conducted in which data were collected from 20 students and 10 parents with the help of interview schedules, and a qualitative study was undertaken. The results show that the main challenges faced by girls relate to adverse financial condition of their families, anomalies in school infrastructure, and lack of awareness of various government schemes. Moreover, online learning due to COVID-19 has added to these troubles. These results offer useful policy implications and can go a long way in removing the constraints in the way of female education.
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S., Sumathi, Rajkumar S., and Indumathi S. "Natural Language Processing-Based Information Extraction and Abstraction for Lease Documents." In Advances in Computer and Electrical Engineering, 170–87. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1159-6.ch011.

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Lease abstraction is the method of compartmentalization of key data from a lease document. Lease document for a property contains key business, money, and legal data about a property. A lease abstract report contains details concerning the property location and basic lease details, price schedules, key events, terms and conditions, automobile parking arrangements, and landowner and tenant obligations. Abstracting a true estate contract into electronic type facilitates easy access to key data, exchanging the tedious method of reading the whole contents of the contract every time. Language process may be used for data extraction and abstraction of knowledge from lease documents.
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Reformat, Marek, Petr Musilek, and Efe Igbide. "Intelligent Analysis of Software Maintenance Data." In Software Applications, 189–221. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-060-8.ch018.

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Amount of software engineering data gathered by software companies amplifies importance of tools and techniques dedicated to processing and analysis of data. More and more methods are being developed to extract knowledge from data and build data models. In such cases, selection of the most suitable data processing methods and quality of extracted knowledge is of great importance. Software maintenance is one of the most time and effort-consuming tasks among all phases of a software life cycle. Maintenance managers and personnel look for methods and tools supporting analysis of software maintenance data in order to gain knowledge needed to prepare better plans and schedules of software maintenance activities. Software engineering data models should provide quantitative as well as qualitative outputs. It is desirable to build these models based on a welldelineated logic structure. Such models would enhance maintainers’ understanding of factors which influence maintenance efforts. This chapter focuses on defect-related activities that are the core of corrective maintenance. Two aspects of these activities are considered: a number of software components that have to be examined during a defect removing process, and time needed to remove a single defect. Analysis of the available datasets leads to development of data models, extraction of IF-THEN rules from these models, and construction of ensemble-based prediction systems that are built based on these data models. The data models are developed using well-known tools such as See5/C5.0 and 4cRuleBuilder, and a new multi-level evolutionary-based algorithm. Single data models are put together into ensemble prediction systems that use elements of evidence theory for the purpose of inference about a degree of belief in the final prediction.
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Abubaker, Azza A., and Joan Lu. "Access and Use of the Internet among Libyan Primary School Students." In Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts, 173–84. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1884-6.ch009.

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This chapter aims to examine the use of the internet and eBook among students in public primary schools in Libya. The literature showed a lack of research that examines access to the Internet, students' awareness of eBook, and using the computer for learning at school. However, this type of research has been important in providing a better understanding of eBook usage and helping designers to create eBooks that meet user needs. Thus, the number of netizens determines the causes of use as a starting point for understanding and determining e- reading stages in order to investigate the factors that affect e- text reading among young people. This chapter presents the questionnaire data as analysed by the Statistical Package for the Social Sciences (SPSS) software for analysis and focuses on collecting quantitative data that can help build a clear understanding of current user behaviour. At the end of this chapter, these two objectives should be met: examining the use of Internet among students aged 9 to 13, and defining the awareness and aim of using eBook among students.
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Conference papers on the topic "Schedules, School Data processing"

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Chopard, Daphné, Matthias S. Treder, and Irena Spasić. "Learning Data Augmentation Schedules for Natural Language Processing." In Proceedings of the Second Workshop on Insights from Negative Results in NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.insights-1.14.

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Farag, Mohamed, Pranav Nakate, and Edward A. Fox. "Big Data Processing of School Shooting Archives." In JCDL '16: The 16th ACM/IEEE-CS Joint Conference on Digital Libraries. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2910896.2925466.

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Kataev, Mikhail Y., and Olga Y. Nikiforova. "RELIP software for photoacoustic spectroscopy data processing." In 13th Symposium and School on High-Resolution Molecular Spectroscopy, edited by Leonid N. Sinitsa. SPIE, 2000. http://dx.doi.org/10.1117/12.375396.

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Markowski, A., E. Michta, and R. Szulim. "Communication structures and data processing in AMI systems." In 2013 International School on Nonsinusoidal Currents and Compensation (ISNCC). IEEE, 2013. http://dx.doi.org/10.1109/isncc.2013.6604458.

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Fix, Jeremy, Stephane Vialle, Remi Hellequin, Claudine Mercier, Patrick Mercier, and Jean-Baptiste Tavernier. "Feedback from a data center for education at CentraleSupélec engineering school." In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2022. http://dx.doi.org/10.1109/ipdpsw55747.2022.00065.

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Mitev, Vladimir A., Atanaska D. Deleva, and Ivan V. Grigorov. "Remote velocity measurements of atmospheric inhomogeneities by imaging and statistical data processing." In 15th International School on Quantum Electronics: Laser Physics and Applications, edited by Tanja Dreischuh, Elena Taskova, Ekaterina Borisova, and Alexander Serafetinides. SPIE, 2008. http://dx.doi.org/10.1117/12.822513.

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Naboko, Sergei V., Lyubomir Y. Pavlov, Stoyan P. Penchev, Vassily N. Naboko, Vasilka H. Pencheva, and T. Donchev. "Digital signal processing and data acquisition employing diode lasers for lidar-hygrometer." In 12th International School on Quantum Electronics Laser Physics and Applications, edited by Peter A. Atanasov, Alexander A. Serafetinides, and Ivan N. Kolev. SPIE, 2003. http://dx.doi.org/10.1117/12.519504.

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Shaposhnik, Alexey V., and Pavel V. Moskalev. "Processing Electronic Nose Data Using Artificial Neural Networks." In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR). IEEE, 2020. http://dx.doi.org/10.1109/dcnair50402.2020.9216931.

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Othman, Nashwan Adnan, and Ilhan Aydin. "A Smart School by Using an Embedded Deep Learning Approach for Preventing Fake Attendance." In 2019 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2019. http://dx.doi.org/10.1109/idap.2019.8875883.

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Kulminskiy, Danil, Yurii Ishbulatov, and Mikhail Prokhorov. "Limits of Cross-Recurrence Quantification Analysis in Real-Time Data Processing." In 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE, 2021. http://dx.doi.org/10.1109/dcna53427.2021.9587259.

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