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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Policy on the Use of Artificial Intelligence in Education

Authors: Dumontier, Michel;

Policy on the Use of Artificial Intelligence in Education

Abstract

Large Language Models (LLMs) represent a groundbreaking advancement in natural language processing and natural language understanding. They are have enormous potential to improve productivity, but they must be used in an ethical manner in education. This is a short guide on the use of AI technologies in an educational setting. It describes the capabilities and limiations of LLMs, articulate how to make disclosure and reflection statements in normative use of AI technologies in coursework.

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Keywords

Educational Technology/education, Artificial Intelligence, Learning, Cognitive Reflection

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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
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