Towards highly informative learning analytics
Abstract: Among various trending topics that can be investigated in the field of educational technology, there is a clear and high demand for using artificial intelligence (AI) and educational data to improve the whole learning and teaching cycle. This spans from collecting and estimating the prior knowledge of learners for a certain subject to the actual learning process and its assessment. AI in education cuts across almost all educational technology disciplines and is key to many other technological innovations for educational institutions. The use of data to inform decision-making in education and training is not new, but the scope and scale of its potential impact on teaching and learning have silently increased by orders of magnitude over the last few years. The release of ChatGPT was another driver to finally make everyone aware of the potential effects of AI technology in the digital education system of today. We are now at a stage where data can be automatically harvested ...
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Heerlen : Open Universiteit 2023, 62 S.. ISBN 978-94-6469-372-0
- Klassifikation
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Erziehung, Schul- und Bildungswesen
- Ereignis
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Veröffentlichung
- (wo)
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Frankfurt
- (wer)
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DIPF Leibniz Institut für Bildungsforschung und Bildungsinformation
- (wann)
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2023
- Urheber
- DOI
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10.25656/01:26785
- URN
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urn:nbn:de:0111-pedocs-267851
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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25.03.2025, 13:48 MEZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Drachsler, Hendrik
- DIPF Leibniz Institut für Bildungsforschung und Bildungsinformation
Entstanden
- 2023
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