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Report on trends in policies and practices on the use of LLMs and generative AI in the partnership. Second report.

Authors: Waselius, Tomi; Uotinen, Virpi; Kocdar, Serpil; Ucar, Hasan; Michael, Loizos; Antonaci, Alessandra;

Report on trends in policies and practices on the use of LLMs and generative AI in the partnership. Second report.

Abstract

This report examines current developments and temporal changes in the use of Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in higher education across institutions participating in the ADMIT project (Generative AI and Large Language Models in Higher Education). The analysis draws on both quantitative and qualitative data collected from key stakeholder groups, including students, educators, IT and support staff, and administrative personnel. The findings highlight considerable differences in awareness, usage, and institutional approaches to integrating AI technologies into educational contexts.

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    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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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