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AI-Informed Assessment

The biggest thing Gen AI does is it opens up this conversation: How should we reimagine teaching, learning and assessment?

Dave Cormier, Interview with Contact North

Things have changed in our courses and classrooms. Generative AI (Gen AI) tools like ChatGPT, Claude, and Grammarly are now everyday supports for most students – and professors as well. These tools are transforming how we approach learning and teaching (Digital Education Council, 2024; KPMG, 2024).

This transformation presents us with an important question: How do we design meaningful assessments as regular Gen AI assistance becomes the norm?

The answer is not easily solved with AI detection or banning of tools. Being career-ready will require graduates to be skilled collaborators with Gen AI tools.

With intentional use, Gen AI can be a flexible, responsive learning assistant. It can provide instant feedback, generate practice problems, explain complex concepts, and adapt to individual learning styles.

Yet, the power of these tools raises an important concern: Are students developing foundational knowledge and critical thinking skills, or are they outsourcing their intellectual work?

Generative AI provides an opportunity to rethink what matters most in education. What do we want students to learn? What skills and knowledge will serve them best? How can we design assessments that acknowledge Gen AI’s presence and ensure meaningful learning?

If Gen AI can produce an answer or complete a task in seconds, then perhaps we focus on assessment design that help students build judgment and critical thinking.

The goal isn’t to AI-proof our assessments. It is to make them meaningful, authentic, and aligned with self-awareness, critical analysis, and creative thinking skills our students need to thrive in their careers (World Economic Forum, 2023).

This module explores AI-aware assessment design that preserves what matters the most: learning, human judgement, and trust between students and teachers.

Time Commitment 1 hour
Audience Faculty
Format 7 lessons
Pace Learner-led
Start Module

Learning Outcomes

After successfully completing this module, you will be able to:

  • Describe qualities of Generative AI tools that support and hinder student learning.
  • Recognize how Generative AI challenges traditional assessment approaches and offers new opportunities for learner engagement and feedback.
  • Apply intentional, process-based strategies to redesign assessments that emphasize thinking, reflection, and student growth.
  • Explore ways to build trust, transparency, and AI literacy into your assessment practices.
  • Identify intentional, incremental changes you can make to integrate Generative AI into your assessment approach.

How to work through this module

  • This is a self-directed module. You can move forward and backward through the lesson pages.

Use of Generative AI in Module Development

While developing these modules, we used Generative AI as a collaborative tool in accordance with the Algonquin College’s Guidelines for Teaching with Generative AI. AI tools were used to support editing, summarize scholarly articles, generate alt text for tables and images, create examples and generate glossaries. All AI-generated content was critically reviewed, refined and contextualised by human oversight to maintain academic integrity, relevance and alignment to our pedagogical goals.