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Leblay, Joffrey; Rabah, Mourad; Champagnat, Ronan; Nowakowski, Samuel – International Association for Development of the Information Society, 2018
How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS)? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them…
Descriptors: Intelligent Tutoring Systems, Coaching (Performance), Efficiency, Learning Processes
Chaker, Rawad; Bachelet, Rémi – International Review of Research in Open and Distributed Learning, 2020
This paper uses data mining from a French project management MOOC to study learners' performance (i.e., grades and persistence) based on a series of variables: age, educational background, socio-professional status, geographical area, gender, self- versus mandatory-enrollment, and learning intentions. Unlike most studies in this area, we focus on…
Descriptors: Foreign Countries, Large Group Instruction, Online Courses, Grades (Scholastic)
Barrier, Emilie; Munck, Ingrid – Prospects, 1992
Describes procedures needed to analyze large-scale databases. Presents two examples of how French educational researchers have utilized data from the International Association for the Evaluation of Educational Achievement (IEA) studies of mathematics and reading literacy. Includes one table and three figures illustrating these techniques. (CFR)
Descriptors: Academic Achievement, Comparative Education, Cross Cultural Studies, Curriculum Evaluation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection