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Download full textLivieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis – Themes in Science and Technology Education, 2016
Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…
Descriptors: Predictive Measurement, Decision Support Systems, Academic Achievement, Exit Examinations
Direct linkConijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Schendel, Diana E.; Bresnahan, Michaeline; Carter, Kim W.; Francis, Richard W.; Gissler, Mika; Grønborg, Therese K.; Gross, Raz; Gunnes, Nina; Hornig, Mady; Hultman, Christina M.; Langridge, Amanda; Lauritsen, Marlene B.; Leonard, Helen; Parner, Erik T.; Reichenberg, Abraham; Sandin, Sven; Sourander, Andre; Stoltenberg, Camilla; Suominen, Auli; Surén, Pål; Susser, Ezra – Journal of Autism and Developmental Disorders, 2013
The International Collaboration for Autism Registry Epidemiology (iCARE) is the first multinational research consortium (Australia, Denmark, Finland, Israel, Norway, Sweden, USA) to promote research in autism geographical and temporal heterogeneity, phenotype, family and life course patterns, and etiology. iCARE devised solutions to challenges in…
Descriptors: Autism, Epidemiology, International Cooperation, Consortia
Peer reviewedLlorens, Jose; Trenor, Asuncion – Electronic Library, 1993
Discusses the use of MARC format in relational databases and addresses problems of incompatibilities. A solution is presented that is in accordance with Open Systems Interconnection (OSI) standards and is based on experiences at the library of the Universidad Politecnica de Valencia (Spain). (four references) (EA)
Descriptors: Academic Libraries, Data Analysis, Database Management Systems, Databases
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
