Attitude Analytics for Econometrics

About the Project

Attitude Analytics is a data-driven teaching and learning innovation designed to improve Malaysian students’ learning experiences in Econometrics. The project identifies students’ attitudes, learning perceptions, and different learning needs through a structured questionnaire and attitude analytics. The findings are translated into targeted teaching strategies, including Malaysian real-world datasets, guided EViews, peer learning, and confidence-building activities. Using a continuous Diagnose–Analyse–Personalise–Improve cycle, the innovation supports evidence-based teaching and student-centred learning. It aims to enhance confidence, engagement, perceived relevance, and quantitative learning. The model can also be scaled to other quantitative courses and developed for institutional adoption and commercialization.