The OnTask Project aims to provide personalised, timely support actions to large student cohorts. The two-year project started in 2016 and is funded through a Strategic Priority Commissioned Grant by the Office of Learning and Teaching (OLT) of the Australian Government.
Das Projekt „Kontextbasierte und adaptive Maßnahmen für effektive Lernunterstützung in der Online-Weiterbildung“ – kurz KAMAELEON – des Mannheimer Wirtschaftspädagogikprofessors Dirk Ifenthaler zählt zu den Gewinnerprojekten des Innovationswettbewerbs INVITE.
von: Nina Wieczorek Einleitung Big Data – das große Thema der digitalen Transformation. Mit den rasanten digitalen Entwicklungen und der Informationsexplosion gehen zahlreiche Veränderungen einher. Diese Veränderungen spiegeln sich auch in unseren Bildungssystemen wieder, denn Big Data bietet auch für das Lernen enorme Potentiale. Ein Beispiel hierfür sind die beiden Entwicklungen von „Educational Data Mining“…
This video describes a European research project - SHEILA (Supporting Higher Eduction to Integrate Learning Analytics). The content includes the goal, objectives, methodology, key findings, outputs, and recommendations.
The use of big data and analytics in education continues to grow. A vast apparatus of measurement is being developed to underpin national education systems, institutions and the actions of the individuals who occupy them. […] The presence of digital data and software in education is being amplified through massive financial and political investment in…
Researchers and educators have developed computer-based tools, such as automated writing evaluation (AWE) systems, to increase opportunities for students to produce natural language responses in a variety of contexts and subsequently to alleviate some of the pressures facing writing instructors due to growing class sizes
M. Tavakoli, A. Faraji, M. Molavi, S. Mol, и G. Kismihók. (2021)cite arxiv:2112.12100Comment: This paper has been accepted to be published in the 12th International Learning Analytics and Knowledge (LAK'2022), March 21--25, 2022. ACM.