Faculty and institutions are using AI to create educational material and tutors that help students learn the material. These are text-based interactions. But AI can also build digital simulations that allow students to experiment with different variables to learn how they affect processes. This ability
Higher education has come to understand that AI is akin to the computer and the internet, a new technology that students will need to know how to use in the future. The problem, though, is that most instructors don’t know how students will use AI
Creativity scholars Kaufman and Glăveanu (2019) argue that “like love or happiness, creativity is everywhere and nowhere in academia” (p. 27). They make this claim within the context of scholarship, stating that while everyone has an opinion, creativity can be difficult to define and categorize.
Picture this: You spend hours crafting a midterm exam that could provide valuable learning opportunities. Students get their exams back early in the course, leaving them plenty of time to improve before the final. Yet when you look at final exam results, you see that
We often hear faculty complain that students are not reading the course material. Studies consistently report low rates of reading compliance across disciplines, with students citing time pressures, unclear purpose, perceived irrelevance, and weak accountability structures as reasons for skipping assigned materials (Hoeft, 2012; Brost
Every teacher knows the challenge: Students complete homework at 9:00 p.m., get stuck, and have to wait until the next day’s class for help. By then, you’re facing a mountain of assignments that all show the same misconception.
“I spent hours on the Gulliver’s Travels reading—yes, hours—and I still didn’t get through the Lilliput section!” my student, Sarah, bemoaned after class one morning. I asked her to walk me through her approach.
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
As the Covid-19 pandemic ran its course, you most likely found yourself adapting classroom policies and activities to meet the challenges of remote and hybrid learning. Perhaps you flipped your classroom for the first time, saving precious class time to have students work through activities
