Scalable Interventions in Higher Education: An AI-Supported Feedback Tool to ASSIST Self-Reflection

dc.contributor.author	Rumert, Luis
dc.contributor.author	Berens, Johannes
dc.contributor.author	Gößl, Thomas
dc.contributor.author	Henao, Leandro
dc.contributor.author	Salamon, Moritz
dc.contributor.author	Schneider, Kerstin
dc.contributor.editor	Leonhardt, Thiemo
dc.contributor.editor	Ehlenz, Matthias
dc.contributor.editor	Noichl, Svenja
dc.contributor.editor	Röpke, René
dc.date.accessioned	2023-12-14T11:52:46Z
dc.date.available	2023-12-14T11:52:46Z
dc.date.issued	2023
dc.description.abstract	ASSIST is an intelligent feedback portal for smartphones that helps students monitor their academic progress and predict their likelihood of success. It allows students to reflect on their current situation and explore individualized study scenarios.	en
dc.identifier.doi	10.18420/wsdelfi2023-54
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/43317
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Workshops der 21. Fachtagung Bildungstechnologien (DELFI)
dc.relation.ispartofseries	DELFI 2023
dc.subject	study success
dc.subject	scalable interventions
dc.subject	self-reflection
dc.subject	learning analytics
dc.title	Scalable Interventions in Higher Education: An AI-Supported Feedback Tool to ASSIST Self-Reflection	en
dc.type	Text/Conference Paper
gi.citation.endPage	192
gi.citation.publisherPlace	Bonn
gi.citation.startPage	189
gi.conference.date	11.-13. September 2023
gi.conference.location	Aachen
gi.conference.review	full
gi.conference.sessiontitle	KI-gestützte Studienplanung und Kohortenverfolgung

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