Research output per year
Research output per year
Personal profile
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Dive into the research topics where Kurt VanLehn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Step-Based Tutoring System to Teach Underachieving Students How to Construct Algebraic Models
VanLehn, K., Milner, F., Banerjee, C. & Wetzel, J., 2023, (Accepted/In press) In: International Journal of Artificial Intelligence in Education.Research output: Contribution to journal › Article › peer-review
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Towards Speech-Based Collaboration Detection in a Noisy Classroom
Shahrokhian, B. & VanLehn, K., 2022, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings. Rodrigo, M. M., Matsuda, N., Cristea, A. I. & Dimitrova, V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 65-70 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13356 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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., 2021, In: Interactive Learning Environments. 29, 6, p. 987-1005 19 p.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
Evaluation of auto-generated distractors in multiple choice questions from a semantic network
Zhang, L. & VanLehn, K., 2021, In: Interactive Learning Environments. 29, 6, p. 1019-1036 18 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Planning nets: A representation for formalizing analogies and semantic models of procedural skills
VanLehn, K. & Brown, J. S., May 31 2021, Cognitive Process Analyses of Learning and Problem Solving. Taylor and Francis, Vol. 2. p. 95-137 43 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
1 Scopus citations
Projects
- 19 Finished
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RAISE: C-Accel Pilot - Track B2 (National Talent Ecosystem): Safe Skill-Aligned On-The-Job Training with Autonomous Systems
Srivastava, S., Kambhampati, S., Cooke, N., VanLehn, K., Fainekos, G., Bowman, D., Chiou, E. & Michael, K.
National Science Foundation (NSF)
9/1/19 → 5/31/21
Project: Research project
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FW-HTF Theme 2: The future of classroom work: Automated Teaching Assistants
National Science Foundation (NSF)
9/1/18 → 5/31/23
Project: Research project
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DIP: Graphical model construction by system decomposition: Increasing the utility of algebra story problem solving
National Science Foundation (NSF)
9/1/16 → 8/31/20
Project: Research project
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Integration of Intelligent Tutoring Systems for Electronics Phase II - Option C
DOD-NAVY: Office of Naval Research (ONR)
6/1/16 → 6/30/17
Project: Research project
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Integration of Intelligent Tutoring Systems for Electronics Phase II
DOD-NAVY: Office of Naval Research (ONR)
2/24/16 → 9/1/16
Project: Research project
Datasets
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Additional file 1: of How do machine-generated questions compare to human-generated questions?
VanLehn, K. (Contributor) & Zhang, L. (Contributor), figshare Academic Research System, Dec 1 2016
DOI: 10.6084/m9.figshare.c.3698098_d1.v1, https://doi.org/10.6084%2Fm9.figshare.c.3698098_d1.v1
Dataset
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How do machine-generated questions compare to human-generated questions?
Zhang, L. (Contributor) & VanLehn, K. (Creator), figshare Academic Research System, 2016
DOI: 10.6084/m9.figshare.c.3698098.v1, https://figshare.com/collections/How_do_machine-generated_questions_compare_to_human-generated_questions_/3698098/1
Dataset
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How do machine-generated questions compare to human-generated questions?
Zhang, L. (Contributor) & VanLehn, K. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3698098, https://figshare.com/collections/How_do_machine-generated_questions_compare_to_human-generated_questions_/3698098
Dataset