Project Details
Description
Artificial intelligence (AI) is rapidly transforming higher education, creating new possibilities for
personalised learning while presenting significant challenges to traditional assessment methods. The
increasing use of generative AI tools such as ChatGPT has raised concerns about academic integrity
and the potential decline in students’ critical thinking skills. Recent studies suggest that when
students rely too heavily on AI tools without proper guidance, their ability to analyse, synthesize,
and solve problems independently may be diminished (Zhou et al., 2024; Smith & Lee, 2023). At the
same time, the ethical use of AI in education, including transparency and data privacy, is becoming
a crucial issue that educators must address.
This collaborative project brings together faculty from multiple universities and a range of disciplines
to design and implement innovative assessment practices that both promote critical thinking and
foster ethical AI use. Participating professors will develop and trial new assessment models that
encourage students to engage deeply with course material and use AI tools responsibly. The project
will also provide guidance on integrating ethical considerations into assessment design, helping
students understand the responsible use of AI in academic settings.
A key outcome of this initiative will be the creation of a cross-university casebook, which will serve
not only as a collection of real-world examples and lessons learned but also as a practical toolkit.
This toolkit will be openly accessible, allowing educators from other institutions to reference, adapt,
and implement effective AI-ready assessment strategies in their own courses. By focusing on both
critical thinking and ethical engagement, this project aims to set a new standard for assessment in the
AI era, ensuring that students are equipped with the skills and values needed for success in a rapidly
changing world.
References:
Zhou, Y., Wang, X., & Chen, L. (2024). Impact of AI tools on critical thinking skills in higher
education. Journal of Educational Technology.
Smith, J., & Lee, A. (2023). Ethical considerations in AI-assisted learning: A review. International
Journal of AI in Education
personalised learning while presenting significant challenges to traditional assessment methods. The
increasing use of generative AI tools such as ChatGPT has raised concerns about academic integrity
and the potential decline in students’ critical thinking skills. Recent studies suggest that when
students rely too heavily on AI tools without proper guidance, their ability to analyse, synthesize,
and solve problems independently may be diminished (Zhou et al., 2024; Smith & Lee, 2023). At the
same time, the ethical use of AI in education, including transparency and data privacy, is becoming
a crucial issue that educators must address.
This collaborative project brings together faculty from multiple universities and a range of disciplines
to design and implement innovative assessment practices that both promote critical thinking and
foster ethical AI use. Participating professors will develop and trial new assessment models that
encourage students to engage deeply with course material and use AI tools responsibly. The project
will also provide guidance on integrating ethical considerations into assessment design, helping
students understand the responsible use of AI in academic settings.
A key outcome of this initiative will be the creation of a cross-university casebook, which will serve
not only as a collection of real-world examples and lessons learned but also as a practical toolkit.
This toolkit will be openly accessible, allowing educators from other institutions to reference, adapt,
and implement effective AI-ready assessment strategies in their own courses. By focusing on both
critical thinking and ethical engagement, this project aims to set a new standard for assessment in the
AI era, ensuring that students are equipped with the skills and values needed for success in a rapidly
changing world.
References:
Zhou, Y., Wang, X., & Chen, L. (2024). Impact of AI tools on critical thinking skills in higher
education. Journal of Educational Technology.
Smith, J., & Lee, A. (2023). Ethical considerations in AI-assisted learning: A review. International
Journal of AI in Education
| Status | Active |
|---|---|
| Effective start/end date | 1/09/25 → 31/12/28 |
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