Enhanced Participation

Issues With Traditional Assessment

Drift in measuring learning outcomes

Authorship, integrity, and accountability gaps

Reliance on passive or product‑based participation

Reduced visibility into learning processes

Grade inflation and surface‑level achievement

Equity and access concerns related to the use of AI

AI-Adapted Solutions

Assess reasoning, justification, and evidence.
Embed AI‑resilient, context‑specific participation tasks.
Authenticate individual understanding through formative checkpoints.
Credit active cognitive engagement and contribution.
Align participation rubrics with learning outcomes and graduate attributes.
Use multiple, low‑stakes formative participation measures 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.