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The primary source of institutional AI proficiency must be universities themselves, not the technology companies who offer training for their platforms. Without that agency, we risk surrendering educational practice to commercial interests, write Amy Allen and David Hicks
By the time they arrive at university, most students are using AI. So, with the lines between AI use and original work increasingly blurred, academia now needs to teach them how to use the tools critically
Many academics have limited access to structured training in doctoral supervision. Here, Paul Clarkson and Tahrima Hossain offer takeaways from designing a supervisor development programme
The advent of generative AI plus questions about the relevance of higher education call for a closer look at how critical thinking skills are taught and measured. Kate Williams offers ways to level up traditional assessment formats
If people can’t find or access your work, they won’t cite it. Here, Darshan Vigneswaran explains how to ensure your academic articles surface in search and contribute to building your profile
Treating work placements, co-curricular programmes or extracurricular leadership roles as optional or supplemental misses deeper questions about whether traditional degrees prepare students for their careers. Michelle Seref explains
Giving more secondary school students opportunities to experience working in a research lab means addressing faculty capacity
Outreach initiatives can introduce potential students to the support that will be available on campus, develop their research skills and instil a sense of belonging before they arrive. Kealin McCabe outlines different approaches
Even when a presentation doesn’t go to plan, the experience can offer lessons about content, preparation and reflections on effective ways to communicate your research to an audience
If we continue to prioritise memorisation in an age of wall-to-wall information, we send the wrong message to our students and employers. Michelle Seref offers advice on assessment that builds critical thinking skills
What does authentic assessment really look like? Through real-world tasks, meaningful application, and core knowledge and skills, it supports deeper learning and a more accurate measure of students’ understanding
The most transformative uses of AI in teaching may have to do with how we design courses. Kim Loeffert explains how to use AI to bring UDL principles into learning and assessment
Early career librarians might not see how proximity to faculty, students and institutional decision-making creates opportunities to contribute meaningfully to research initiatives. Trina Fyfe offers critical reflections
Effective use of educational technologies in the classroom involves limiting the number of tools and giving students time to learn how to use them, as Sara Cline explains