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Generative AI and writing assignments : long live the master's dissertation. Let's bury it.

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Abstract
The importance of GenAI in higher educatioin can't be ignored. It influences learning processes vastly. Students and faculty use its rapidly growing features for demanding tasks. Study programmes have to answer societal needs. They have to take GenAI into account and adequately adapt to it. GenAI changes the world students have to be prepared for. The paper raises the question whether and how GenAI forces study programmes to revisit their learning objectives. Since GenAI strongly supports the process of drafting texts, the importance of writing skills as learning objectives can dramatically change. The paper assesses whether writing remain pertinent learning activities and if so, how new challenges Dealing with the question whether GenAI should be banned or embraced, the paper - against the -shift regarding the use of GenAI -highlights solutions to meaningfully integrate GenAI in writing assignments. Advantages, contextual requirements and possible backdrops are pointed out. Special attentio is given tot hte question whether the master's dissertation can remain the cornerstone of the integrated acquisition of academic skills at master level, and the evaluation of those competences. Since the academic community is globally convinced of the value of the master's dissertation as a lever for competences that characterize an academic study programme, the paper celebrates it, while at the same time suggesting to bury it in its current form as due to GenAI it is probably not fit for purpose anymore.
Keywords
quality assurance, higher education, master's thesis, GenAI, writing assignment

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Citation

Please use this url to cite or link to this publication:

MLA
De Groote, Bertel. “Generative AI and Writing Assignments : Long Live the Master’s Dissertation. Let’s Bury It.” Proceedings of the 2024 European Quality Assurance Forum, 2024.
APA
De Groote, B. (2024). Generative AI and writing assignments : long live the master’s dissertation. Let’s bury it. Proceedings of the 2024 European Quality Assurance Forum. Presented at the 2024 European Quality Assurance Forum : Enhancing education, research and societal engagement through quality assurance (EQAF2024), Twente, The Netherlands.
Chicago author-date
De Groote, Bertel. 2024. “Generative AI and Writing Assignments : Long Live the Master’s Dissertation. Let’s Bury It.” In Proceedings of the 2024 European Quality Assurance Forum.
Chicago author-date (all authors)
De Groote, Bertel. 2024. “Generative AI and Writing Assignments : Long Live the Master’s Dissertation. Let’s Bury It.” In Proceedings of the 2024 European Quality Assurance Forum.
Vancouver
1.
De Groote B. Generative AI and writing assignments : long live the master’s dissertation. Let’s bury it. In: Proceedings of the 2024 European Quality Assurance Forum. 2024.
IEEE
[1]
B. De Groote, “Generative AI and writing assignments : long live the master’s dissertation. Let’s bury it.,” in Proceedings of the 2024 European Quality Assurance Forum, Twente, The Netherlands, 2024.
@inproceedings{01KEEV19SZ93XM5B78QA83C8CW,
  abstract     = {{The importance of GenAI in higher educatioin can't be ignored. It influences learning processes vastly.
Students and faculty use its rapidly growing features for demanding tasks. Study programmes have to
answer societal needs. They have to take GenAI into account and adequately adapt to it. GenAI
changes the world students have to be prepared for.
The paper raises the question whether and how GenAI forces study programmes to revisit their learning
objectives.
Since GenAI strongly supports the process of drafting texts, the importance of writing skills as learning
objectives can dramatically change.
The paper assesses whether writing remain pertinent learning activities and if so, how new challenges
Dealing with the question whether GenAI should be banned or embraced, the paper - against the
-shift regarding the use of GenAI -highlights solutions to meaningfully integrate GenAI in writing assignments. Advantages, contextual requirements and possible backdrops are pointed out.
Special attentio is given tot hte question whether the master's dissertation can remain the cornerstone of the integrated acquisition of academic skills at master level, and the evaluation of those competences.
Since the academic community is globally convinced of the value of the master's dissertation as a lever for competences that characterize an academic study programme, the paper celebrates it, while at the
same time suggesting to bury it in its current form as due to GenAI it is probably not fit for purpose
anymore.}},
  author       = {{De Groote, Bertel}},
  booktitle    = {{Proceedings of the 2024 European Quality Assurance Forum}},
  issn         = {{1375-3797}},
  keywords     = {{quality assurance,higher education,master's thesis,GenAI,writing assignment}},
  language     = {{eng}},
  location     = {{Twente, The Netherlands}},
  pages        = {{9}},
  title        = {{Generative AI and writing assignments : long live the master's dissertation. Let's bury it.}},
  url          = {{https://www.eua.eu/publications/conference-papers/generative-ai-and-writing-assignments-long-live-the-masters-dissertation-lets-bury-it.html}},
  year         = {{2024}},
}