Universities should provide vivid guidelines and education on how and where ChatGPT may be used for learning¶

Strategy · All strategies
Evidence · 3 claims (3 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description¶

The article concludes that institutions should clarify regulations and teach students how to use ChatGPT productively. The study found students "are skeptical of its positive impacts on learning and think that universities should provide more vivid guidelines and better education on how and where the tool can be used for learning activities". The authors argue unclear policies may deter students from using the tool, and that finding the optimal way of using it and setting regulations is the job of universities.

Design Implications¶

Context¶

Requirements¶

• Universities must clarify regulations and rules so students know which activities the tool is allowed for

Constraints¶

• The authors note the use of ChatGPT in education is a very subtle area because it can easily be used for academic misconduct

Target Learners¶

• MSc computer science students in higher education
• international non-native English speaker students

Target Learning Goals¶

• Effective and responsible use of AI tools in academic learning
• Awareness of ChatGPT capabilities and limitations

Claims¶

• Most students favour allowing ChatGPT in assessments if tasks require original thinking or guidance is provided [+W]
• A majority of surveyed MSc computer science students had never used ChatGPT for academic purposes [+W]
• Familiarity with ChatGPT among MSc computer science students is spread across levels, with about one-fifth not familiar at all [+W]

Related Strategies¶

• Provide accessible guidelines, training materials, or workshops to help students understand responsible GenAI use
• Move beyond permit-or-restrict GenAI policies toward policies that clarify appropriate use, support equitable access, and extend rather than replace independent reasoning
• Institutional integrity programs combining ethical AI-use guidelines, clear definitions of dishonesty, and risk-awareness education
• Build ethical AI integration on four coordinated levels: faculty professional development, ethics curricula, clear institutional guidelines, and interdisciplinary updating
• Institutional governance should establish practical conditions supporting AI literacy, learner agency, and critical evaluation rather than relying on prohibition and detection

Examples¶

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Key Sources¶

• Singh, H.; Tayarani-Najaran, M.-H.; Yaqoob, M. (2023). Exploring Computer Science Students' Perception of ChatGPT in Higher Education: A Descriptive and Correlation Study. Educ. Sci. 2023, 13, 924. https://doi.org/10.3390/educsci13090924