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Case study: creating an 'AI for Academic Writing Skills' induction session for postgraduate life science courses
Jennifer Carter1,2, Anne Ferrey3, Hubert Lam1
1Nuffield Department of Population Health, University of Oxford, U.K.
Emerging Topics in Life Sciences
|December 19, 2025
Summary
This study developed an AI for Academic Writing Skills induction session for postgraduate students, significantly reducing uncertainty about ethical generative AI use. The training received overwhelmingly positive feedback, enhancing student confidence in responsible GenAI integration.
Area of Science:
- Medical Education
- Artificial Intelligence in Education
- Academic Writing Skills
Background:
- Student adoption of generative artificial intelligence (GenAI) in universities is widespread but controversial.
- There is a critical need for structured guidance on the effective, responsible, and ethical use of GenAI in academic settings.
- Postgraduate Taught (PGT) students in Medical Sciences require specific training to navigate GenAI tools for academic writing.
Purpose of the Study:
- To design and evaluate a pilot induction session on "AI for Academic Writing Skills" for PGT Medical Sciences students.
- To provide practical, ethical training on GenAI use in academic writing.
- To assess the impact of the induction session on student confidence and uncertainty regarding GenAI.
Main Methods:
- A collaborative effort involving MSc programme directors, learning technologists, and AI competency experts.
- Integration of ChatGPT4 via API into the Canvas virtual learning environment for equitable access.
- Pre-training student surveys to gauge current GenAI engagement and confidence levels.
- Development of a structured induction session based on survey findings and expert collaboration.
Main Results:
- 100% of survey respondents rated the training positively.
- 86% found the academic writing lecture beneficial, and 100% found the general GenAI skills lecture helpful.
- 70% reported significantly reduced uncertainty about using GenAI in their academic work, with 82% appreciating chatbot interaction in group work.
Conclusions:
- The developed induction session effectively enhances student confidence and reduces uncertainty regarding ethical GenAI use in academic writing.
- The evidence-based, scalable approach provides a model for institutions to address the challenges of GenAI in higher education.
- Continuous refinement of the programme is planned for future academic years based on pilot study reflections and outcomes.
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