Start your course design with the end in mind. Grounded in backward design, this approach helps you clarify learning goals first so every element of your course supports where students need to go. Clear outcomes lead to more intentional planning and a stronger learning experience.

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Backward design is widely used to improve course quality and serves as a useful framework for structuring the preparation work itself. Starting with learning objectives sets a clear sequence and avoids a common pitfall - jumping into building the course before the most important decisions are made. Planning ahead in this way provides you the time to focus on targeted course refinements to improve student learning.

Authentic assessment can provide effective methods for students to rehearse the human side of professional practice. Explore how simulated scenarios and role playing, supported through AI, foster deeper learning, reflection, and skill-building across disciplines.

Give every student a unique scenario to explore! Discover how AI can help you design richer, more authentic content that stays aligned to your learning goals.

Curious how AI tools might find their way into student work or classroom conversations? Many students say they want clearer, more specific guidance from their instructors on when and how to use AI. If we’re not confident in our own skills, though, it can be difficult to give that guidance. Whether you're just starting out or looking to deepen your approach, explore these low-stakes activities to reflect on and grow in your own use of AI.

Many students are already integrating AI into their learning process. How can we respond to this shift and support all students to thoughtfully engage with this new tool?

Find practical guides and real-world examples to help you identify strengths and opportunities for improvement.

Practical guides and real-world examples help you identify opportunities to improve your online course or begin designing a new one.

Discussions about generative AI in higher education often focus on big, disruptive changes like automating grading, replacing traditional assessments, or raising concerns about academic integrity. But the use of AI in teaching doesn’t have to be all-or-nothing. Many instructors are already finding small, practical ways to integrate AI into their teaching that enhance learning without overhauling their courses.