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Carpentier, Geneviève; Mukamurera, Joséphine; Leroux, Mylène; Lakhal, Sawsen – McGill Journal of Education, 2019
The first years of teaching are challenging. Knowledge of the kind of support new teachers require is essential. Existing typologies date back from the 1980s and the early 2000s. The aim of this article is twofold: 1) to validate a typology of novice teachers' support needs using confirmatory factor analysis and 2) to compare these needs in…
Descriptors: Beginning Teachers, Factor Analysis, Classification, Teacher Characteristics
Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Peer reviewedMeyer, J. H. F.; And Others – Higher Education, 1994
Two studies on monitoring and assisting high-risk college students are compared. Individualized intervention was provided in the first study, whereas the second attempted a reduced form of the same intervention in a large-group course. Both emphasized student awareness of appropriate study behavior. Only the first study had positive results.…
Descriptors: Classification, College Students, Comparative Analysis, Developmental Studies Programs
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

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