Instructors and students waste many hours struggling to get what they want out of an AI chatbot due to a lack of understanding of prompt engineering. With AI playing an increasingly important role in work, prompt engineering is one of the most important skills our
Students often struggle to understand complex or abstract concepts, especially when they cannot see how those ideas connect to their lives. I’ve learned that if students cannot see themselves in a concept, they usually cannot fully grasp it. Case studies can help by placing course
Imagine that all AI applications are surrounded by a high, impenetrable fence. At the gate stands a calm but firm Gatekeeper who unlocks the gate only when a student has an acceptable reason to use AI for a specific task.
Most people think of AI only in terms of answering questions or creating works such as images and songs. But AI’s power lies in its ability to interact with users, and to this end, instructors can use it for highly realistic chat-based simulations without the
Higher education has traditionally worked on a one-size-fits-all teaching model. Each course has its curriculum, and the assessments measure how well students learn it. Students who struggle to understand the material either withdraw or get a poor grade, while the best students may not be
When generative AI (GenAI) appeared on the higher education landscape, the general reaction ranged from enthusiasm and curiosity to grave concern around how a technology that was not designed for education would impact our lives as educators and the lives of learners. The uncertainty educators
The integration of generative AI into education is an exciting opportunity to transform how we learn and teach. I embraced this potential by introducing an assignment using Google’s Notebook LM. Unlike other AI tools, Notebook LM lets users upload their own resources—articles, videos, even YouTube
Nearly all educational apps have incorporated AI in some way to enhance their functionality, and many new educational AI apps have emerged over the past year. This plethora of choices can leave teachers bewildered as to what to choose, but now we are starting to
The Transparency in Learning and Teaching (TILT) Framework (Winkelmes, 2012, 2016) provides a helpful way to inform and communicate choices about using generative AI tools in higher education. Educators who engage their students in reciprocal, transparent communication about the purposes, processes, and criteria around their
Faculty and course developers today are being asked to implement Universal Design for Learning (UDL) into their course design, but many are not sure how to do that. AI can come to the rescue by analyzing assignments and other course content and suggesting changes to
