Artificial intelligence

Socio-economic, cultural, geographic and other factors mean that some students know more about AI than others, and we can’t have an effective discussion about AI and academic integrity until we all know what we’re talking about, writes John Weldon

Over time, students will learn to perfect their prompts and work side by side with AI to enhance their creativity, write Gloria Anahí Molina Barrón and Pamela Inés Marroquin Alanis

Students must learn to critically evaluate AI and use it to boost their productivity. Rohini R. Rao explains

Identity-verified assessment can be used alongside online tasks to check students’ understanding and foster collaborative learning, writes Carl Sherwood

Students using generative AI to write their essays is a problem, but it isn’t a crisis, writes Christopher Hallenbrook. We have the tools to tackle the issue of artificial intelligence

If educators don’t understand the learning processes, they also miss the reasons why students cheat, writes Margault Sacré. Here, she offers an approach to motivate and benchmark progress

Leadership and critical-thinking skills are difficult to measure. Here, Jonna Lee offers case studies that test the idea of integrating large language models into assessment practices as a feedback tool to empower both students and instructors

The ability to use generative AI is akin to time management or other learning skills that students need practice to master. Here, Vincent Spezzo and Ilya Gokhman offer tips to make sure instructions land equally no matter students’ level of AI experience

As Generative AI gains traction in the world of research, Ryan Henderson and Ayla Kruis shed light on using it responsibly in research support

Immersive technology expert Monica Arés explains how the combination of artificial intelligence and extended reality in education has the potential to unlock curiosity and learning, the costs that come with these tools and what she thinks teaching technology will look like in 2034