Integrating artificial intelligence into teaching and learning presents a valuable opportunity to enhance educational experiences through thoughtful design and innovation. This page provides practical strategies and adaptable examples to support the meaningful use of AI in a variety of learning environments. Whether designing a course, creating assignments, or exploring new ways to engage learners, these resources are intended to help you align AI use with your goals while maintaining clarity, intentionality, and academic purpose. By building confidence and flexibility in applying AI, educators and academic teams can foster more dynamic, responsive, and enriched learning experiences.
AI-enhanced Learning
Cultivating your AI learning ecosystem
AI-Enhanced Assignments
Red-Yellow-Green Light Framework
These resources introduce the Red-Yellow-Green Light Framework to support thoughtful, ethical, and transparent integration of AI in student assignments. The framework guides instructors and course designers in determining where AI use should be encouraged, used with caution, or restricted. It also provides a structured way to communicate expectations to learners and promote responsible AI engagement across diverse learning environments.
Resources:
Activity: Apply the framework to an assignment
This step-by-step activity guides you through the process of applying the framework to one course assignment.
AI-supported Teaching Practices
Activity: Rubric Remix
Designing effective rubrics can improve transparency, streamline grading, and help students understand expectations. This resource introduces Rubric Remix, an activity that uses generative AI to help you design, revise, or personalize rubrics for your course. By guiding AI with clear learning goals and criteria, you can develop rubrics that are aligned, student-friendly, and tailored to your context.
Building Custom Bots and AI Agents
Custom AI agents offer new opportunities to extend support for learners, streamline communication, and enhance access to course materials. These resources provide a structured approach to designing task-specific AI assistants that align with your instructional goals. By clarifying purpose, tone, scope, and intended use, educators and academic teams can develop responsive, ethical, and purposeful AI tools that support student success across disciplines and modalities.
Resources:
Activity: Build your own custom agent
With this activity, design a task-focused AI agent using a structured workbook that supports thoughtful, intentional integration into teaching, research, or productivity workflows.
FAQs
Start by identifying the learning objectives and cognitive processes the assignment is designed to support. If AI use enhances the intended outcomes without replacing essential student thinking, it may be appropriate to allow or even encourage it. If it undermines the assessment of core skills, consider limiting its use. Frameworks like the Red-Yellow-Green Light model can help make these decisions transparent and consistent.
Be explicit in your syllabus, assignment instructions, and class discussions about when and how AI tools may be used. Define boundaries, provide examples, and explain the rationale behind your guidance. You may also ask students to disclose their use of AI and reflect on how it supported or challenged their learning.
Yes, when used intentionally. AI tools can help provide differentiated feedback, support language accessibility, and offer additional scaffolding for students who need it. However, it is essential to monitor for bias in outputs and ensure that AI complements—rather than replaces—human-centered, inclusive teaching strategies that is centered around Principled Innovation.
Start with optional or supplementary activities such as using AI to generate writing prompts, summarize readings, or brainstorm project ideas. These tasks can enhance engagement without changing your core assessments. From there, you can explore deeper integration into assignment design, peer review, or feedback workflows.
Look for evidence of deeper engagement, improved self-regulation, or enhanced clarity in student work. You might collect feedback through reflective prompts, surveys, or discussions. Comparing student outcomes before and after AI-enhanced activities can also provide insight. Be sure to frame AI as a support—not a substitute—for critical thinking.