My research focuses on improving student models for Adaptive Tutors and MOOCs. Specifically I look at techniques for automatic extraction, representation and relation mining of Knowledge Components (also known as Knowledge Units or Concepts ) in Student Models like Bayesian Knowledge Tracing, Additive Factor Model and Performance Factor Analysis. In my recent work, I tried to improve student models by infering better student knowledge state through student reading behaviour. Currently I am working on improving concept representations using external knowledge graphs to obtain concepts that can help better adaptive interfaces in online courses, books and MOOCs.

My vision is to contribute to research in Education Technology by efficient use of Artificial Intelligence. I love exploring new possibilities in Natural Language Processing and Information Retrieval.