The emergence of Generative AI (GenAI) in higher education has prompted considerable discussion within the research community. Despite their centrality, students’ perspectives remain underexplored....

In January 2024, I asked an auditorium full of community college instructors to tell me which stage of grief resonated most when they thought about their relationship with AI. Here's what they said: 7%: Denial - AI is overrated. I'll just wait it out. 15%: Anger - AI is running amok and undermines critical thinking. 38%: Bargaining - I'd learn more about AI if I wasn't so darn busy. 3%: Depression - What I love about teaching is slipping away. 38%: Acceptance - I'm ready! Where's my AI teaching assistant? How do you think the results would shift if you posed this question to faculty today? Do you think your colleagues are feeling significantly *more* or *less* optimistic about AI than they were a year or two ago? If so, why? #facultydevelopment #ai #edtech

Learning is a complex process — and so is measuring it. Though research shows we have cause to be concerned about what happens when students use AI, the devil is in the details.

Whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom.

Students shared how they felt about AI usage—for students and adults alike

Generative artificial intelligence provides both opportunities and challenges for higher education. Existing literature has not properly investigated how this technology would impact assessment in higher education. This scoping review took a forward-thinking approach to investigate how generative artificial intelligence transforms assessment in higher education. We used the PRISMA extension for scoping reviews to select articles for review and report the results. In the screening, we retrieved 969 articles and selected 32 empirical studies for analysis. Most of the articles were published in 2023. We used three levels—students, teachers, and institutions—to analyses the articles. Our results suggested that assessment should be transformed to cultivate students’ self-regulated learning skills, responsible learning, and integrity. To successfully transform assessment in higher education, the review suggested that (i) teacher professional development activities for assessment, AI, and digital literacy should be provided, (ii) teachers’ beliefs about human and AI assessment should be strengthened, and (iii) teachers should be innovative and holistic in their teaching to reflect the assessment transformation. Educational institutions are recommended to review and rethink their assessment policies, as well as provide more inter-disciplinary programs and teaching.

The Generative AI Product Tracker lists generative AI products that are either marketed specifically towards postsecondary faculty or students or appear Stay up-to-date with the emerging tech for higher education. Explore our Product Tracker tool for information, pricing models, key features, and more on the generative AI tools for teaching, learning, and research.

Generative AI has quickly gained a significant foothold in academia, and is now used widely for teaching, learning, and research purposes. New products are appearing so rapidly that just keeping up with them is difficult, and understanding the value of individual products in a now-crowded marketplace is a major challenge for end users and for university CIOs, IT departments, and others involved in decision making about which products will be supported and/or licensed for campus users. With the rapid development of new generative AI tools for teaching and learning, we’re releasing a new product tracker to share up-to-date information on the latest tools and products on the market for higher education.