ProfessorKalina Yacef

Automatic Conversational Analysis System

Data Science to Improve Feedback, Understand Student Behaviour and Address Equity Issues in Computer Programming Education Using Data from Large-Scale Courses

Human–AI Co-construction of Personalised Learning through Open Learner Models

Improving Education based LLMs.

Mining Activity Tracker Data to Analyse Physical Activity Behaviours and Provide Personalised Feedback in Health Education Programmes

Physical Activity and Nutrition Data Mining

Predicting Mood from Digital Footprints

Understanding athlete-specific insights from multi-sourced data with missingness

Using Motion Sensor and Machine Learning to Support the Assessment of Rhythmic Skills in Social Partner Dance: Bridging Teacher, Student and Machine Contexts