From experiment to impact: reducing waste in teaching labs, part 1
From cleaning glassware to choosing cooling systems, learn how small teaching interventions can help students experiment more sustainably
From cleaning glassware to choosing cooling systems, learn how small teaching interventions can help students experiment more sustainably
When it comes to improving green practices across a university’s laboratories, meaningful change doesn’t always require major investment or new infrastructure. Small but intentional practices can yield substantial results
With higher education navigating rapid technological change, the key to embedding AI literacy in the workforce of tomorrow could be a focus on collaboration over competition
By acknowledging that perspectives are evolving and relational, educators and leaders can encourage contribution and connection without sacrificing what makes people distinct
When educators share the design and implementation of course material and assessment rubrics, they give students a stake in their own and their peers’ learning
An LGBTQ+ scientist explains how funding cuts as a result of the US administration’s attacks on DEI-related research gave rise to a ‘gonzo science’ project and why data collection is its own form of resistance
Comments such as ‘This is a good essay’ might reassure but won’t help a writer improve. Here’s how to show students what strong and weak peer feedback looks like
Flexible pathways and modular curricula will only fit into students’ real lives if courses are intentionally designed, co-created and evidence-informed, writes Harriet Dunbar-Morris. Here she shares a leadership toolkit for lifelong learning reform
Rather than react with fear to GenAI and attempt to ban it, let’s rethink traditional pedagogy instead, for more meaningful learning
It takes an intersectional approach, empathy and willingness to listen to cultivate affirming environments for marginalised groups, says Mazal Oaknín
Students working towards creative careers have mixed feelings about AI and its potential effects on their job prospects. So education must consider the best practice in the application of tools but also teach students design fundamentals
Instead of trying to detect students using AI for their work, we need to think differently. Here’s where to start
Higher education institutions have a crucial role in guiding responsible AI use. The starting point for universities might be a clear vision that answers why AI is important
To become proficient in GenAI, educators must move beyond one-off interactions to create workflows that increase efficiency and deepen learning. Learn how
If the UK higher education sector wants its transnational education partnerships to be socially responsible, academically rigorous and politically resilient, universities must prioritise co-creation and cultural literacy, writes Valentina Cardo