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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
Download full textJohnson, L.; Adams Becker, S.; Cummins, M.; Estrada, V.; Freeman, A.; Ludgate, H. – New Media Consortium, 2013
The New Media Consortium (NMC) and the National Institute for Staff and Organizational Development (NISOD), with the generous support of Dell and Intel, have jointly released the "Technology Outlook for Community, Technical, and Junior Colleges 2013-2018: An NMC Horizon Project Sector Analysis." This report applies the process developed…
Descriptors: Community Colleges, Vocational Schools, Two Year Colleges, Educational Technology
Johnson, L.; Adams Becker, S.; Cummins, M.; Freeman, A.; Ifenthaler, D.; Vardaxis, N. – New Media Consortium, 2013
The "Technology Outlook Australian Tertiary Education 2013-2018: An NMC Horizon Project Regional Analysis" reflects a collaborative research effort between the New Media Consortium (NMC) and Open Universities Australia to help inform Australian educational leaders about significant developments in technologies supporting teaching,…
Descriptors: Foreign Countries, Educational Policy, Higher Education, Consortia
