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Prince Das Adhikary

Prince Das Adhikary

Doctoral Researcher in Learning Analytics — AI and knowledge tracing

princeda28
Turku, Finland
Joined March 2026
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Summary

Research-focused learning-analytics doctoral researcher applying machine learning to education: Prince Das Adhikary is pursuing a PhD at the Turku Research Institute for Learning Analytics where he develops and evaluates knowledge tracing models and plans their integration with the widely used VILLE learning platform to support personalized feedback and interventions. utu+1
Published and collaborative researcher: he is a co-author on peer-reviewed work (BMC Psychology article) affiliated with the University of Turku, demonstrating engagement in multidisciplinary research within TRILA. nih+1
Academic high performer in quantitative analytics: completed an MSc in Finance & Big Data Analytics at Swansea University and was recognized with a School Prize for best performance in the MSc Finance & Big Data Analytics programme. ac
Industry experience in software engineering prior to doctoral studies: held engineering roles at NEC Software Solutions (including an associate position and subsequent software engineer roles), combining practical software development experience with current academic research. rocketreach

Work

Education

Projects

Writing

Structural validation of a brief, multidimensional measure of psychological flexibility and inflexibility in adolescence

January 1, 2026

A validation study presenting a three-factor nine-item solution (CPFQ-9) for measuring psychological flexibility and inflexibility in early and mid-adolescence; Prince Das Adhikary is listed as a co-author affiliated with the Turku Research Institute for Learning Analytics.

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How knowledge tracing is shaping the future of learning

November 1, 2025

Perspective piece describing knowledge tracing (KT) models, their role in tailoring instruction and predicting learning outcomes, and plans to apply KT models to VILLE learning platform data as part of PhD research.

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