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Other literature type . 2026
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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Künstliche Intelligenz im Studium – Ergebnisse quantitativer Befragungen zur Nutzung KI-basierter Tools durch Studierende & Hochschullehrende

Authors: von Garrel, Joerg; Mayer, Jana; Weber, Lea;

Künstliche Intelligenz im Studium – Ergebnisse quantitativer Befragungen zur Nutzung KI-basierter Tools durch Studierende & Hochschullehrende

Abstract

KI-basierte Tools sind in Studium und Lehre in sehr kurzer Zeit vom Experiment zum Alltagstool geworden. Die Keynote präsentiert Ergebnisse aus zwei deutschlandweiten quantitativen Erhebungen und zeigt, wie verbreitet KI-basierte Tools unter Studierenden sind, wofür sie eingesetzt werden und wie sich Nutzungsmuster zwischen 2023 und 2025 verändert haben. Ergänzend werden Befunde zur Nutzung durch Lehrende eingeordnet. Die Ergebnisse machen deutlich, dass KI-basierte Tools gekommen sind, um zu bleiben – und dass sich daraus ein dauerhafter Anpassungsbedarf für Hochschulen ergibt. Abschließend werden zentrale Implikationen für Studium und Lehre skizziert, insbesondere im Hinblick auf Kompetenzanforderungen, transparente Nutzungspraktiken sowie die Weiterentwicklung von Lehr- und Prüfungsformaten.

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Keywords

Studium, KI, AI, Lehre

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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