Harnessing AI for Academic Progress: Common Themes and Future Directions

This paper presents a reflection on the workshop topics and on further implications for different subject areas across higher education. We identify five overarching themes which emerged from the workshop presentations and reflect on the discussion of each respective theme. Next, we consider these t...

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Main Authors: Juliana Gerard, Kelly Norwood, Muhammad Usman Hadi, Aisling Reid, Antoine Rivoire, Muskaan Singh
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/114/1/3
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author Juliana Gerard
Kelly Norwood
Muhammad Usman Hadi
Aisling Reid
Antoine Rivoire
Muskaan Singh
author_facet Juliana Gerard
Kelly Norwood
Muhammad Usman Hadi
Aisling Reid
Antoine Rivoire
Muskaan Singh
author_sort Juliana Gerard
collection DOAJ
description This paper presents a reflection on the workshop topics and on further implications for different subject areas across higher education. We identify five overarching themes which emerged from the workshop presentations and reflect on the discussion of each respective theme. Next, we consider these themes in the contexts of different undergraduate courses across subject areas. We focus on one course each from STEM, Social Sciences, and the humanities (engineering, linguistics, and English, respectively) and identify a component of each course which has been influenced by the increasing presence of generative AI in HE. We link these components to the overarching themes and conclude with some common themes across the subject areas.
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spelling doaj-art-5b42ce2be733466e89c84bc1a40b18eb2025-08-20T02:21:47ZengMDPI AGProceedings2504-39002025-02-011141310.3390/proceedings2025114003Harnessing AI for Academic Progress: Common Themes and Future DirectionsJuliana Gerard0Kelly Norwood1Muhammad Usman Hadi2Aisling Reid3Antoine Rivoire4Muskaan Singh5School of Communication and Media, Ulster University, Belfast BT15 1AP, UKSchool of Psychology, Ulster University, Coleraine BT52 1SA, UKSchool of Engineering, Ulster University, Belfast BT15 1AP, UKSchool of Arts, English and Languages, Queen’s University Belfast, Belfast BT15 1AP, UKCentre for Digital Learning Enhancement, Ulster University, Belfast BT15 1AP, UKSchool of Computing, Engineering and Intelligent Systems, Ulster University, Londonderry BT48 7JL, UKThis paper presents a reflection on the workshop topics and on further implications for different subject areas across higher education. We identify five overarching themes which emerged from the workshop presentations and reflect on the discussion of each respective theme. Next, we consider these themes in the contexts of different undergraduate courses across subject areas. We focus on one course each from STEM, Social Sciences, and the humanities (engineering, linguistics, and English, respectively) and identify a component of each course which has been influenced by the increasing presence of generative AI in HE. We link these components to the overarching themes and conclude with some common themes across the subject areas.https://www.mdpi.com/2504-3900/114/1/3generative AIcommon themeshigher educationharnessing AI
spellingShingle Juliana Gerard
Kelly Norwood
Muhammad Usman Hadi
Aisling Reid
Antoine Rivoire
Muskaan Singh
Harnessing AI for Academic Progress: Common Themes and Future Directions
Proceedings
generative AI
common themes
higher education
harnessing AI
title Harnessing AI for Academic Progress: Common Themes and Future Directions
title_full Harnessing AI for Academic Progress: Common Themes and Future Directions
title_fullStr Harnessing AI for Academic Progress: Common Themes and Future Directions
title_full_unstemmed Harnessing AI for Academic Progress: Common Themes and Future Directions
title_short Harnessing AI for Academic Progress: Common Themes and Future Directions
title_sort harnessing ai for academic progress common themes and future directions
topic generative AI
common themes
higher education
harnessing AI
url https://www.mdpi.com/2504-3900/114/1/3
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