Academics and university staff address what student engagement means to them and offer advice on boosting attendance, class participation and building a campus community.
GenAI has been quickly adopted by students, but the consequences of using it as a shortcut could be grave. A study into how students think about and use GenAI offers insights into how teaching might adapt
With in-person, online and hybrid supervision of master’s dissertations now common, which works best? Here, Alun Epps offers reflections and advice for new supervisors
Where is the library positioned within your institutional structure? Steve Briggs makes the case for integrating it into the teaching and learning unit
What are researchers to do when conversations around vital topics such as the future of democracy are not reaching beyond academia? An academic podcast has proved effective in taking the conversation to the public and policymakers
GenAI should be implemented in a way that enhances business students’ problem-solving skills without eroding the human element of learning, writes Andreas Rausch
Apps or algorithms alone won’t drive the students of the future to learn. Rather, it will be faculty domain expertise that aligns with how they think, work and learn. Margaret Ellis explains how to design learning for student motivation
Writing lecturers will not reach students by simply talking down artificial intelligence. A more effective approach involves embracing our expertise and engaging in the politics of resistance, says Jane Bottomley
Higher education teaching faculty are exploring the use of old-school teaching and testing methods to prevent students from using artificial intelligence during exams and for homework. Is this a good idea? Cayce Myers takes a deep dive
Once seen as a pedagogical experiment, the block plan is ready for its researchers and practitioners to move beyond self-examination and share their innovations with the wider higher education community, writes John Weldon
