The current trajectory of AI in education forces us to acknowledge thatt there is no AI proof method. AI models are rapidly improving their output, and many classroom tasks that seemed beyond AI's abilities just a year ago are now evident. It is a realistic approach to assume that students are blending their work with AI. However, many well-established and research-based teaching strategies still hold true. These approaches can help mitigate the overreliance on AI, encourages deeper learning, and reimagine student learning expectations i today's digital landscape. Start with a framework for designing resilient learning experiences for your students. Next. consider which assignment and assessment approach you will take, AI resistant, AI inclusive, or AI transparent. Then look at course specific examples to help you make course specific decisions.
Adapting your course design to face the new reality of Generative AI should and will take time, but students have access to these tools now and need guidance now. These are a few ways to initially adapt your assignments with Generative AI in mind:
For long-term planning for redesigning assessments review the resources found at Center for Teaching and Learning Excellence website Faculty Generative AI Resources and/or contact us for an individual instructional design consultation virtually or in person CTLE Instructional Design Support Request.
Knowledge Building Scavenger Hunt Activity: Using ChatGPT to research, organize, and synthesize information on various topics.
Activity Steps:
Template to generate a lesson plan on ChatGPT:
You are an expert in ____________. I am a (subject) instructor at a community college. Please help me design a lesson plan for my upcoming class about (topic)? The class is (time) long, and is (in-person/online). The student learning outcomes are
In addition, please provide
Education Focused Prompt Respositories
prompts.chat — awesome AI prompts
Prompt Library — AI for Education
A Teacher's Prompt Guide to ChatGPT aligned with 'What Works Best'
Education Focused Prompt Respositories
AI Resilient Framework
1. Align to Learning Goals and Outcomes
Ensure AI-related activities reinforce your course's core objectives. Use backward design principles to identify how AI can support (not replace) discipline specific skills such as critical thinking, problem-solving, or creative expression.
2. Design for Transparency
3. Promote Academic Integrity in an AI Landscape
As students explore AI tools, redefine integrity not simply as avoidance of misconduct but as a shared commitment to ethical learning. Strategies include:
Consider embedding AI literacy into your curriculum to build student confidence and ethical judgment.
4. Reflect to Evolve Your Teaching
Use ongoing feedback and data to improve your approach.
The cycle of reflection ensures that AI integration remains responsive, intentional and student-centered.
5. Encourage students to engage in critical thinking and active learning and caution on overreliance on AI.
These course activities and assignments designed to minimize or prevent AI use, often to preserve original thinking or ealuate unaided skills. These are some examples and ways to implement them.
Assignment Instructions
Assessment Criteria
Student Reflection
Example Assignments
Academic Integrity
Adapted from:
North Michigan University: Creating AI Resistant Assignments Activities and Assessments
MIT Sloan - AI Resilient Learning Experience Framework
See More Examples:
Concordia University of Edmonton: AI-resistant Assessment Examples
York University: Alternative Assessments Guide
4 Steps to Design an AI-Resilient Learning Experience - MIT Sloan Teaching & Learning Technologies
These embrace the use of AI as a tool for learning and skill development. The goal is to teach students how to use AI ethically and effectively as part of their workflow.
Assignment Instructions
Assessment Criteria
Student Reflection
Example Assignments
Academic Integrity
Adapted from:
Jose Antonio Bowen's Teaching with AI: AI Intro Handout
These assignments encourage disclosure of AI use. Students can use AI, but they must openly document how they used it --what prompts they gave, how they revised the output, and how it influenced their thinking. The emphasis is on transparency and accountability.
Assignment Instruction
Assessment Criteria
Student Reflection
Academic Integrity
Resources
Comprehensive AI assessment framework: Enhancing educational evaluation with ethical AI integration
University of Albert Assessment Design, Center for Teaching and Learnin
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