4.1. Introduction
Kristin Clark
Every major technology shift in education, from calculators to the open web, raised questions about integrity and learning. Over time, assessment adapted to emphasize problem-solving, creativity, critical thinking, and reflection. AI presents a similar inflection point. Used wisely, it can strengthen digital literacy, clarify expectations, and inspire more authentic learning design. The goal of this module is to help you create learning environments where AI is used responsibly and where integrity, curiosity, and innovation can grow together.
Module 4 Learning Outcomes
By the end of this module, you will be able to:
- Explain how AI is reshaping educational assessment, including opportunities and challenges.
- Identify ways AI can support academic integrity in teaching and learning.
- Recognize the limitations and risks of AI detection tools.
- Design AI-ready assessments that foster deeper learning and creativity.
Key Idea: Education Is Evolving in the Age of AI
Every major shift in technology—from calculators to the internet—sparked fears of replacing learning. In reality, education evolved by adapting assessments to highlight deeper skills: problem-solving, creativity, critical thinking, and reflection. AI is no different.
What This Module Covers
- Course AI policies and statements: How to set clear expectations that align with learning goals.
- Assistive vs. generative use: When AI scaffolds learning versus when it replaces essential thinking.
- Limits of AI detectors: Why false positives, bias, and privacy concerns make “detection-first” approaches risky.
- Authentic and AI-ready assessment: Prompts that encourage creativity, personal context, and higher-order thinking.
- Rubrics and transparency: Criteria that reward process, originality, and context-specific application.
- AI literacy in practice: Helping students use AI critically, cite assistance, and reflect on their decisions.
📖 Analogy: Studio Critique (click to expand)
In a studio course, learning is more than the final piece. Students sketch, revise, seek feedback, and explain choices. Assessment focuses on process, craft, and voice. AI-ready assessment works the same way. When we value drafts, context, and reflection, we make it hard to outsource the work and easier to see authentic learning.
Looking Ahead
Next up, 4.2 Defining Appropriate AI Use in Courses will help you articulate clear, course-aligned AI policies and distinguish assistive from generative use.
