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Personal profile

Education/Academic qualification

PHD, Massachusetts Institute of Technology

… → 1983

BS, Massachusetts Institute of Technology

… → 1977

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 5 Similar Profiles
Students Engineering & Materials Science
Intelligent systems Engineering & Materials Science
Physics Engineering & Materials Science
Intelligent Tutoring Systems Mathematics
student Social Sciences
learning Social Sciences
physics Social Sciences
Reinforcement learning Engineering & Materials Science

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Research Output 1980 2019

  • 5010 Citations
  • 30 h-Index
  • 64 Article
  • 61 Conference contribution
  • 7 Chapter

Can an orchestration system increase collaborative, productive struggle in teaching-by-eliciting classrooms?

VanLehn, K., Burkhardt, H., Cheema, S., Kang, S., Pead, D., Schoenfeld, A. & Wetzel, J., Jan 1 2019, In : Interactive Learning Environments.

Research output: Contribution to journalArticle

Digital storage
digital media
Teaching
Students
classroom

A preliminary evaluation of the usability of an ai-infused orchestration system

Wetzel, J., Burkhardt, H., Cheema, S., Kang, S., Pead, D., Schoenfeld, A. & VanLehn, K., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 379-383 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10948 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Orchestration
Usability
Students
Artificial intelligence
Evaluation
2 Citations (Scopus)

ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics

Graesser, A. C., Hu, X., Nye, B. D., VanLehn, K., Kumar, R., Heffernan, C., Heffernan, N., Woolf, B., Olney, A. M., Rus, V., Andrasik, F., Pavlik, P., Cai, Z., Wetzel, J., Morgan, B., Hampton, A. J., Lippert, A. M., Wang, L., Cheng, Q., Vinson, J. E. & 5 othersKelly, C. N., McGlown, C., Majmudar, C. A., Morshed, B. & Baer, W., Dec 1 2018, In : International Journal of STEM Education. 5, 1, 15.

Research output: Contribution to journalArticle

electronics
resources
learning
student
navy

How can fact encourage collaboration and selfcorrection?

VanLehn, K., Burkhardt, H., Cheema, S., Pead, D., Schoenfeld, A. & Wetzel, J., Jan 1 2018, Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension. Taylor and Francis, p. 114-127 14 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Posters
Students
poster
instruction
Handwriting

How should knowledge composed of schemas be represented in order to optimize student model accuracy?

Grover, S., Wetzel, J. & VanLehn, K., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 127-139 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10947 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schema
Optimise
Students
Domain Model
Intelligent systems

Projects 2008 2021