Raising Ethical Awareness of GenAI Use Through Student Self-Assessment in the Transition to Higher Education

Authors

DOI:

https://doi.org/10.53761/39ey1895

Keywords:

ethical use of GenAI, reflection, academic integrity, learner agency, higher education

Abstract

Raising students’ ethical awareness of generative artificial intelligence (GenAI) is critical as higher education responds to rapid technological change. This study investigates how guided reflection embedded within self‑assessment can support students to engage responsibly and confidently with GenAI in learning and assessment, while maintaining academic integrity. The self‑assessment, designed to foster readiness and learner agency, prompted students to reflect on their use of GenAI for critical thinking, writing, and understanding disciplinary concepts, positioning them as reflective practitioners capable of navigating ethical dimensions of AI use. Data were collected through pre‑ and post‑semester surveys administered to commencing university students. Likert‑scale items measured confidence in academic and digital literacies, while an open‑text response invited reflection on the ethical implications of GenAI. Qualitative data were thematically analysed to examine ethical engagement and emerging learner agency. Findings indicate that students recognised both the benefits and limitations of GenAI, demonstrating ethical awareness and critical evaluation of its role in academic work. Reflections revealed tensions between efficiency and academic integrity, as well as uncertainty about institutional expectations. Students also reported an increased sense of personal responsibility, describing the reflective process as confidence‑building during their transition to university study. The evolving role of educators involves supporting students to engage critically and responsibly with emerging technologies. Embedding GenAI‑focused reflection within self‑assessment reframes ethical inquiry as a pedagogical strategy. This study contributes to scholarship on ethical GenAI use and offers a scalable, student‑centred approach that can be adapted across disciplines and year levels.

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Author Biographies

  • Michelle Pedlow, University of Western Australia, Australia

    Michelle Pedlow (SFHEA) is the Curriculum Strategy and Educational Innovation Lead for the Department of Nursing at The University of Western Australia. Her work focuses on the design and implementation of innovative, student-centred curricula that prepare future nurses for complex and dynamic healthcare environments. Michelle’s research interests include programmatic assessment, feedback literacy, and technology-enhanced learning. She is particularly passionate about creating inclusive learning experiences that support regional, remote, and diverse student cohorts. In 2018, she received the Vice-Chancellor’s Staff Award for Contribution to Aboriginal and/or Torres Strait Islander Advancement at Edith Cowan University, recognising her work in developing a culturally safe nursing curriculum.

  • Justine Maldon, Edith Cowan University, Australia

    Dr Justine Maldon (SFHEA) is a Senior Learning Adviser at the Centre for Learning and Teaching at Edith Cowan University. She is passionate about teaching excellence and promoting student engagement and success in higher education. Justine has expertise in developing interactive, student-centred courses and has received a Vice Chancellor's Award for Initiatives that Enhance Student Learning, specifically for her work with the First Year Experience. She holds a PhD from the University of Western Australia and is experienced in teaching and learning research, utilising both qualitative and quantitative methods.

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Published

2026-05-03

Data Availability Statement

Data are not publicly available, in accordance with institutional ethics approval received.

Issue

Section

Special Issue: Generative AI Ethical Landscapes

How to Cite

Raising Ethical Awareness of GenAI Use Through Student Self-Assessment in the Transition to Higher Education. (2026). Journal of University Teaching and Learning Practice. https://doi.org/10.53761/39ey1895