AI-Adapted Questionnaire Customisation | Teaching and Learning Centre, Lingnan University

Teaching and
Learning Centre
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AI-Adapted Questionnaire Customisation

Issues With Traditional Assessment
Time-consuming and resource-intensive

Time-consuming and resource-intensive

Validity limitations in measuring learning outcomes

Validity limitations in measuring learning outcomes

Limited insight into authorship and response authenticity

Limited insight into authorship and response authenticity

Low diagnostic value and generic feedback

Low diagnostic value and generic feedback

Inflexibility in relation to learner context and emerging knowledge

Inflexibility in relation to learner context and emerging knowledge

Overestimation of understanding

Overestimation of understanding

AI-Adapted Solutions
  • Use AI to accelerate question drafting while instructors retain control over learning outcomes, cognitive level, and assessment purpose.
  • Redesign questions to require explanation, justification, and application.
  • Align questionnaire items directly with learning outcomes, graduate attributes, and assessable behaviours.
  • Pair questionnaires with follow‑up authentication methods, e.g., defence of responses.
  • Require use of local and current contexts with proper justification and citation.
  • Use questionnaires as part of multiple low‑stakes formative measures and track understanding over time.

*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.