My Resume
Skills
Python, R, Matlab, SPSS, SQL, MongoDB, PHP, Clips, Data Mining, Machine Learning, Statistical Analysis
Interests
Data Science, Machine Learning, User Modeling, Artificial Intelligence in Education
Education
M.S. (2011) and B.S. (2009) in Instrumentation and Control Engineering
Xidian University, Xi'an, China
Experiences
Web-based Educational Platforms
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Smart Learning Partner
It's a learning and assessment platform being developed by Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China.
I was a research fellow there and co-designed this platform.
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FUDAOWANG
It's an intelligent tutoring system for helping secondary students to solve math problems, which was developed by a startup company "Bochuang".
I was a graduate student at its collaboration lab at Xidian University, and I participated to develop and maintain the NLP module of this system.
Educational Data Mining
During my Ph.D. study, I proposed a data mining method to extract prerequisite relationships of knowledge components from learner performance data.
And I also implemented some statistical models to discover structures within data.
User Modeling and Adaptation
In my Ph.D. thesis, I extended a Bayesian Network learner model to improve model accuracy.
Besides, I studied or implemented some state-of-the-art probabilistic learner models, e.g. BKT, PFA,
and assessment and learning adaptation strategies.
Publications
- Chen, Y., Wuillemin, P.-H., Labat, J.-M.: Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. In: Proceedings of the 8th International Conference on Educational Data Mining, Madrid, Spain, 117-124, 2015
[code][pdf]
- Chen, Y., Wuillemin, P.-H., Labat, J.-M.: Bayesian Student Modeling Improved by Diagnostic Items. In: Proceedings of the 12th International Conference on Intelligent Tutoring Systems, Honolulu, USA, 144-149, 2014
- Chen, Y.: Adaptive Non-graded Assessment Based on Knowledge Space Theory. In: Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, Beijing, China, 63- 64, 2013
Talks
- Data-driven adaptive learning in academia and industry. Shanghai Liulishuo Information Technology Ltd, Shanghai, China, 2015
- Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. Ateliers de la Conférence PFIA, La Journée EIAH & IA, Rennes, France, 2015
- A Bayesian Diagnostic Approach for Student Modeling. Le 5ème Rencontres Jeunes Chercheurs en EIAH, La Rochelle, France, 2014