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Korchi, Adil; Dardor, Mohamed; Mabrouk, El Houssine – Education and Information Technologies, 2020
Learning techniques have proven their capacity to treat large amount of data. Most statistical learning approaches use specific size learning sets and create static models. Withal, in certain some situations such as incremental or active learning the learning process can work with only a smal amount of data. In this case, the search for algorithms…
Descriptors: Learning Analytics, Data, Computation, Mathematics
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Torre, Jimmy de la; Akbay, Lokman – Eurasian Journal of Educational Research, 2019
Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…
Descriptors: Cognitive Measurement, Models, Computer Software, Testing
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Conrad, Colin; Bliemel, Michael; Ali-Hassan, Hossam – Journal of Information Systems Education, 2019
The expansion of technical concepts into everyday business practices suggests a need for effectively teaching difficult subjects to non-technical users. This paper describes hands-on analogy, an innovative method for teaching technically difficult concepts using interactive, experiential learning activities and a gamified exercise. We demonstrate…
Descriptors: Experiential Learning, Business Administration Education, Data Processing, Logical Thinking
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Pearl, Judea – Sociological Methods & Research, 2015
This article summarizes a conceptual framework and simple mathematical methods of estimating the probability that one event was a necessary cause of another, as interpreted by lawmakers. We show that the fusion of observational and experimental data can yield informative bounds that, under certain circumstances, meet legal criteria of causation.…
Descriptors: Mathematical Models, Probability, Computation, Cognitive Mapping
Cheema, Jehanzeb R. – Review of Educational Research, 2014
Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…
Descriptors: Educational Research, Data, Data Collection, Data Processing
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Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games
Simon, Sheridan A. – Computing Teacher, 1983
Discusses approach to integrating computer programing into a calculus-based physics survey college course which stresses three major uses of computers: data reduction, calculation, and simulation. An initial programing exercise and practical constraints--time a student can allot to course and student's level of confidence--are mentioned. (EJS)
Descriptors: Computation, Computer Literacy, Computer Oriented Programs, Computer Programs
Howden, Norman – Microcomputers for Information Management: An International Journal for Library and Information Services, 1987
Describes LOTUS 1-2-3, an advanced spreadsheet with database and text manipulation functions that can be used with microcomputers by librarians to provide customized calculation and data acquisition tools. Macro commands and the menu system are discussed, and an example is given of an invoice procedure. (Author/LRW)
Descriptors: Computation, Data Collection, Data Processing, Database Management Systems
Zabezhailo, M. I.; Finn, V. K. – International Forum on Information and Documentation, 1996
An Intelligent Information System (IIS) uses data warehouse technology to facilitate the cycle of data and knowledge processing, including input, standardization, storage, representation, retrieval, calculation, and delivery. This article provides an overview of IIS products and artificial intelligence systems, illustrates examples of IIS…
Descriptors: Artificial Intelligence, Computation, Computer Oriented Programs, Data Processing