Research Area
I study human behaviour and decision-making using data, combining educational psychology, cognitive science, HCI, and applied linguistics. My work includes research on smart cycling and technology-mediated exercise, using field-test logs from smart bikes, wearables, and digital platforms. I examine how feedback design, including performance visualisation, interface cues, and instructional language, shapes motivation, technology use, and performance. I also study how university students learn, focusing on self-regulated learning, metacognition, effort, procrastination, and learning decisions, and how these relate to GPA and academic performance. Through collaboration with students and colleagues, I aim to develop evidence-based insights that support learning and effective technology use.
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