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Ritu Chaturvedi is an Assistant Professor at the School of Computer Science at the University of Guelph, where she has been since 2017. She holds a PhD from the University of Windsor. Her research specializes in educational data mining and predictive modeling, with a particular focus on web-based tutoring systems and Intelligent Tutoring Systems. Chaturvedi has contributed to the field through her exploration of techniques for extracting meaningful information from large data repositories, employing data mining methods such as clustering to organize educational content effectively. She has also been involved in researching the impacts of online learning, especially following the global pandemic, and has presented her innovative teaching approach, the 'Pseudo-Flipped Teaching Method Large Programming Classes,' at the TLI conference. Additionally, Chaturvedi has received commendations for her outstanding contribution to enhancing student experiences and has participated in various funding initiatives related to educational technology and integrated learning.
University of Toronto, Mississauga • Mississauga, ON, Canada
Taught computer science courses focusing on innovative teaching methodologies.
University of Guelph • Guelph, ON, Canada
Conducts research in data mining and its applications in education, and also teaches courses in computer science.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).