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Clustering Diverse Student Data into Learning Patterns
Dr Ashish Dutt ashish. dutt @ monash. edu
Lecturer
Expertise
Expertise Mixed data clustering Public Machine health learning algorithms
Education Video analytics Financial statistics
I specialize in mixed data clustering to gain insights from complex educational datasets where traditional methods fail.
My work bridges Educational Data Mining( EDM) and video analytics to
develop novel frameworks integrating structured( learning management
systems, logs, scores), unstructured
( forum text), and temporal-multimodal data( engagement videos, sensor streams).
I cluster learners beyond quiz scores, synthesizing video interactions( gaze tracking), forum discussions( natural language processing topic modeling), and disengagement timing, to reveal student personas driving personalized interventions in Massive Open Online Courses.
For students, I translate advanced theories into ethical tools improving learning outcomes. For academic collaborators, I deliver validated methodologies, published in top EDM / Machine Learning venues, with reproducible codes to solve stubborn data challenges, from classroom video analytics to multimodal affect recognition. I am passionate about turning fragmented data into actionable knowledge.
I decode learning and study how mixed-data clustering turns pixels and posts into student insights to improve learning outcomes
SCHOOL OF SCIENCE CAPABILITIES