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Direct linkHilbert, Sven; Coors, Stefan; Kraus, Elisabeth; Bischl, Bernd; Lindl, Alfred; Frei, Mario; Wild, Johannes; Krauss, Stefan; Goretzko, David; Stachl, Clemens – Review of Education, 2021
Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but…
Descriptors: Artificial Intelligence, Online Courses, Educational Research, Data Analysis
Means, Barbara; Bakia, Marianne; Murphy, Robert – Routledge, Taylor & Francis Group, 2014
At a time when more and more of what people learn both in formal courses and in everyday life is mediated by technology, "Learning Online" provides a much-needed guide to different forms and applications of online learning. This book describes how online learning is being used in both K-12 and higher education settings as well as in…
Descriptors: Electronic Learning, Educational Research, Elementary Secondary Education, Higher Education
McPherson, Maggie; Nunes, Miguel Baptista – International Journal of Educational Management, 2006
Purpose: The purpose of this paper is to report on a research project that identified organisational critical success factors (CSFs) for e-learning implementation in higher education (HE). These CSFs can be used as a theoretical foundation upon which to base decision-making and strategic thinking about e-learning. Design/methodology/approach: The…
Descriptors: Research Methodology, Focus Groups, Data Analysis, Success
