Current Research Interests:
- Artificial Intelligence:
Reinforcement learning, Machine learning, Knowledge
representation, and Problem solving procedures.
- Applying Computer Science to Learning:
How new techniques and media can improve
learning. Natural language processing,
Dialogue systems, Human-computer interaction,
Intelligent tutoring systems, and Educational data mining.
- Cognitive Science & Learning Science:
Cognitive modeling for human and machine learning,
problem solving; understanding how people learn;
and meta-cognitive skills.
- Math and Science Education:
Teaching and learning meta-cognitive and problem-
solving strategies;
and investigating transfer of meta-cognitive skills across domains.
Publications:
JOURNAL ARTICLES AND OTHER PEER-REVIEWED PUBLICATIONS
- Chi, M. & VanLehn, K. (2008).
Eliminating the gap
between the high and low students through meta-cognitive
strategy instruction.
In B. P. Woolf, E. Aimeur, R. Nkambou & S. Lajoie (Eds).
Proceedings of the 9th International Conference
on Intelligent Tutoring Systems,
(pp 603-613). Amsterdam: IOS Press.
(pdf)
- [Winner of Best Student Paper
Award].
- Chi, M., Jordan, P., VanLehn, K., & Hall, M. (2008).
Reinforcement learning-based feature selection for
developing pedagogically effective tutorial
dialogue tactics.
In R.S.J.d. Baker, T. Barnes, J.E. Beck (Eds.)
Proceedings of the 1st International Conference on Educational
Data Mining.
(pp 258-265), Montreal, Canada.
(pdf)
- [Winner of Best Poster Award]
- Chi, M. & VanLehn, K. (2007)
The impact of explicit strategy instruction on problem
solving behaviors across intelligent tutoring systems.
In D. McNamara & G. Trafton (Eds.)
Proceedings of the 29th Annual Conference of the Cognitive
Science Society.
(pp.167-172). Mahwah, NJ: Erlbaum.
(pdf)
- Chi, M.& VanLehn, K. (2007)
Accelerated future learning via explicit instruction of a
problem solving strategy.
In R. Luckin, K. R. Koedinger & J. Greer (Eds.)
Proceedings of the 13th International Conference on
Artificial Intelligence in Education.
(pp. 409-416).
Amsterdam, Netherlands: IOS Press.
(pdf)
- Chi, M. & VanLehn, K. (2007)
Domain-specific and domain-independent interactive
behaviors in Andes.
In R. Luckin, K. R. Koedinger & J. Greer (Eds.)
Proceedings of the 13th International Conference on
Artificial Intelligence in Education.
(pp. 548-550). Amsterdam, Netherlands: IOS Press.
(pdf)
- Chi, M. & VanLehn, K. (2007)
Porting an intelligent tutoring system across domains.
In R. Luckin, K. R. Koedinger & J. Greer (Eds.)
Proceedings of the 13th International Conference on
Artificial Intelligence in Education.
(pp. 551-553). Amsterdam, Netherlands: IOS Press.
(pdf)
- VanLehn, K., Bhembe, D., Chi, M.,
Lynch, C., Schulze, K., Shelby, R., Taylor, L., Treacy, D.,
Weinstein, A., & Wintersgill, M. (2004).
Implicit versus explicit learning of strategies in a
non-procedural cognitive skill.
In J. C. Lester, R. M. Vicari, & F. Paraguacu, (Eds.),
Proceedings of the 7th Conference on Intelligent Tutoring Systems.
(pp. 521-530). Berlin: Springer-Verlag Berlin & Heidelberg
GmbH & Co. K.
(pdf)
INVITED PRESENTATION
- Chi, M. & VanLehn, K. (2007)
The impact of general problem-solving strategy
instruction on inter-domain transfer and learning domain
principles.
Poster presented at the Science of Learning Centers Annual Meeting
2007.
Washington, D.C.
UNDER REVIEW
-
Chi, M., Jordan, P., Vanlehn, K., Litman, D (under review).
To elicit or to tell: does it matter?
Chi, M., Jordan, P., Vanlehn, K., Litman, D (under review).
Applying reinforcement learning to induce effective
pedagogical knowledge-components based tutorial tactics.
Awards:
- Best Student Paper Award (2008).
9th International Conference on Intelligent Tutoring Systems.
-
Best Poster Award (2008),
1st International Conference on Educational Data Mining.
-
Mellon Fellowship,
2008-2009, University of Pittsburgh.