AI-Adapted Individual Mid-Term Examination
High risk of AI-assisted cheating in unsupervised settings
Difficulty in assessing higher‑order thinking
Validity drift in assessing intended learning outcomes
Authorship and integrity challenges
Limited visibility into learning processes
Grade inflation and misrepresentation of mastery
- Redesign questions to require explanation, justification, and application to contextual problems.
- Shift assessment weight from polished answers to reasoning quality, method, and decision‑making.
- Align questions and marking criteria directly with intended learning outcomes and observable learning behaviours.
- Pair written responses with verbal explanations or structured defence of answers.
- Use it as one formative data point, combined with quizzes, in‑class tasks, and reflective follow‑ups.
- Require local contexts, explicit justification and citation, and disclosure of any AI use.
*Disclaimer:
The AI tools listed here are provided for reference and supportive purposes only. The Teaching and Learning Centre (TLC) does not assume responsibility for the content generated using these tools. Our referencing of these tools is solely to promote ethical and proper use of tools, originality and academic conduct in course work, in strict alignment with the university’s assessment guidelines and should be used at your own discretion.
Please also refer to our university’s data privacy and security guidelines when using AI tools from an external platforms.