I find it fascinating to explore how technology and artificial intelligence can be used to improve teaching and learning not only in computer science or at the university level but broadly and often in unusual settings. My research is often interdisciplinary and socio-technical, yet involves improving technological systems and methods to work better with humans.

I have supervised PhD students studying these fields using numerous techniques (e.g. game-based learning, social networking analysis, mLearning, eLearning, chatbots) to solve and understand learning issues. This relates both to face-to-face teaching and eLearning.