User needs, smart prompts and functionality were central to creating an AI tool that supports student writing and thinking. Here, Joanne Chia and Angela Frattarola share the pedagogical and technical considerations involved in the process
Selective embrace of artificial intelligence is key to its success in supporting student learning. Here, Leonard Ng Wei Tat shares lessons from building an effective AI teaching assistant
How much tech is helpful in the classroom? Highlighting both benefits and drawbacks, John Komar explains how computer vision and AI can reinforce personal connections and interactions between teacher and students
When online courses are delivered more or less to a prescribed script, this leaves little space for an educator’s personalised contribution and autonomy, writes Anita Wheeldon. Here, she makes the case against ‘teacherless pedagogy’
Interdisciplinarity is an ambitious and rewarding research process, but how realistic can we be in a 10-week module? Here is how to frame the task, structure the process and balance workloads
The real opportunity of AI isn’t automation, it’s the potential to democratise innovation, writes Ramona Pistol. And teaching practices need to catch up to this reality
Multidisciplinary courses, applied learning and personalisation will all help business schools prepare graduates to serve the needs of the global community. Baback Yazdani explains how to make them work
By using simple, familiar items and fostering open dialogue, we can encourage critical reflection in our students, transforming traditional teaching models into more inclusive learning experiences
By making consistent efforts to understand and support students, university teachers create a learning environment where they feel capable and appreciated, writes Dianne Stratton-Maher
Students can often feel disengaged in a blended learning environment. Here’s how to spark their curiosity and give them ownership of their learning journey
