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Research Output 1980 2019

  • 5368 Citations
  • 33 h-Index
  • 65 Conference contribution
  • 65 Article
  • 7 Chapter
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Conference contribution
2019

Auto-sending messages in an intelligent orchestration system: A pilot study

VanLehn, K., Cheema, S., Kang, S. & Wetzel, J., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Hastings, P., Ogan, A., McLaren, B., Luckin, R. & Millán, E. (eds.). Springer Verlag, p. 292-297 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11626 LNAI).

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

Orchestration
Intelligent systems
Students
Work Flow
Interaction

Collaboration detection that preserves privacy of students’ speech

Viswanathan, S. A. & VanLehn, K., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Hastings, P., Ogan, A., McLaren, B., Millán, E. & Luckin, R. (eds.). Springer Verlag, p. 507-517 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11625 LNAI).

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

Privacy
Students
Detectors
Detector
Binary

Detection of collaboration: Relationship between log and speech-based classification

Viswanathan, S. A. & VanLehn, K., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Hastings, P., Ogan, A., McLaren, B., Luckin, R. & Millán, E. (eds.). Springer Verlag, p. 327-331 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11626 LNAI).

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

Detectors
Classifiers
Students
Detector
Sorting
2018
2 Citations (Scopus)

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

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
2 Citations (Scopus)

The effect of digital versus traditional orchestration on collaboration in small groups

VanLehn, K., Burkhardt, H., Cheema, S., Kang, S., Pead, D., Schoenfeld, A. & Wetzel, J., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 369-373 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
Systems Analysis
Intelligent systems
Work Flow
Null
2017
1 Citation (Scopus)

High accuracy detection of collaboration from log data and superficial speech features

Viswanathan, S. A. & Vanlehn, K., Jan 1 2017, Making a Difference: Prioritizing Equity and Access in CSCL - 12th International Conference on Computer Supported Collaborative Learning, CSCL 2017 - Conference Proceedings. Smith, B. K., Borge, M., Mercier, E. & Lim, K. Y. (eds.). International Society of the Learning Sciences (ISLS), p. 335-342 8 p. (Computer-Supported Collaborative Learning Conference, CSCL; vol. 1).

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

Students
student
Video cameras
instructor
video
2016
9 Citations (Scopus)

Designing a personal assistant for life-long learning (PAL3)

Swartout, W., Nye, B. D., Hartholt, A., Reilly, A., Graesser, A. C., VanLehn, K., Wetzel, J., Liewer, M., Morbini, F., Morgan, B., Wang, L., Benn, G. & Rosenberg, M., 2016, Proceedings of the 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016. AAAI Press, p. 491-496 6 p.

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

Recommender systems
Students
Feedback
3 Citations (Scopus)

Electronic posters to support formative assessment

Cheema, S., VanLehn, K., Burkhardt, H., Pead, D. & Schoenfeld, A., May 7 2016, CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Vol. 07-12-May-2016. p. 1159-1164 6 p.

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

Students
2014
6 Citations (Scopus)

A system architecture for affective meta intelligent tutoring systems

Gonzalez-Sanchez, J., Chavez-Echeagaray, M. E., VanLehn, K., Burleson, W., Girard, S., Hidalgo-Pontet, Y. & Zhang, L., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8474 LNCS. p. 529-534 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8474 LNCS).

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

Intelligent Tutoring Systems
Intelligent systems
System Architecture
Model structures
Education
9 Citations (Scopus)

The affective meta-tutoring project: Lessons learned

VanLehn, K., Burleson, W., Girard, S., Chavez-Echeagaray, M. E., Gonzalez-Sanchez, J., Hidalgo-Pontet, Y. & Zhang, L., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8474 LNCS. p. 84-93 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8474 LNCS).

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

Students
Dynamical systems
Sensors
Learning Strategies
Datalog
6 Citations (Scopus)

When is tutorial dialogue more effective than step-based tutoring?

Chi, M., Jordan, P. & VanLehn, K., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8474 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8474 LNCS).

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

Pairing
Performance Measures
Dialogue
Policy
Learning
2013
11 Citations (Scopus)

Defining the behavior of an affective learning companion in the affective meta-tutor project

Girard, S., Chavez-Echeagaray, M. E., Gonzalez-Sanchez, J., Hidalgo-Pontet, Y., Zhang, L., Burleson, W. & VanLehn, K., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7926 LNAI. p. 21-30 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7926 LNAI).

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

Students
Categorization
Educational technology
Educational Technology
Affective Computing
5 Citations (Scopus)

Evaluation of a meta-tutor for constructing models of dynamic systems

Zhang, L., Burleson, W., Chavez-Echeagaray, M. E., Girard, S., Gonzalez-Sanchez, J., Hidalgo-Pontet, Y. & VanLehn, K., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7926 LNAI. p. 666-669 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7926 LNAI).

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

Dynamic Systems
Dynamical systems
Students
Evaluation
Modeling

Evaluation of a meta-tutor for constructing models of dynamic systems

Zhang, L., Burleson, W., Chavez-Echeagaray, M. E., Girard, S., Gonzalez-Sanchez, J., Hidalgo-Pontet, Y. & VanLehn, K., 2013, CEUR Workshop Proceedings. CEUR-WS, Vol. 1009. p. 37-41 5 p.

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

Dynamical systems
Students
Experiments

Using HCI task modeling techniques to measure how deeply students model

Girard, S., Zhang, L., Hidalgo-Pontet, Y., VanLehn, K., Burleson, W., Chavez-Echeagary, M. E. & Gonzalez-Sanchez, J., 2013, CEUR Workshop Proceedings. CEUR-WS, Vol. 1009. p. 31-40 10 p.

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

Human computer interaction
Students
Detectors
Intelligent systems
4 Citations (Scopus)

Using HCI task modeling techniques to measure how deeply students model

Girard, S., Zhang, L., Hidalgo-Pontet, Y., VanLehn, K., Burleson, W., Chavez-Echeagaray, M. E. & Gonzalez-Sanchez, J., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7926 LNAI. p. 766-769 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7926 LNAI).

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

Task Modeling
Human computer interaction
Detector
Students
Detectors
2011
3 Citations (Scopus)

From behavioral description to a pattern-based model for intelligent tutoring systems

Gonzalez-Sanchez, J., Chavez-Echeagaray, M. E., VanLehn, K. & Burleson, W., 2011, ACM International Conference Proceeding Series. Association for Computing Machinery, 26

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

Intelligent systems
Application programs
User interfaces
Students
Feedback
20 Citations (Scopus)

Instructional factors analysis: A cognitive model for multiple instructional interventions

Chi, M., Koedinger, K., Gordon, G., Jordan, P. & VanLehn, K., 2011, EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining. p. 61-70 10 p.

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

Factor analysis
Students
11 Citations (Scopus)

The Affective Meta-Tutoring Project: How to motivate students to use effective meta-cognitive strategies

VanLehn, K., Burleson, W., Echeagaray, M. E. C., Christopherson, R., Sanchez, J. G., Hastings, J., Pontet, Y. H. & Zhang, L., 2011, Proceedings of the 19th International Conference on Computers in Education, ICCE 2011. p. 128-130 3 p.

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

student
tutor
learning
2 Citations (Scopus)

The level up procedure: How to measure learning gains without pre- and post-testing

VanLehn, K., Burleson, W., Echeagary, H. C., Christopherson, R., Sanchez, J. G., Pontet, Y. H., Muldner, K. & Zhang, L., 2011, Proceedings of the 19th International Conference on Computers in Education, ICCE 2011. p. 96-100 5 p.

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

learning
student
instruction
school
software
2010
9 Citations (Scopus)

An analysis of gaming behaviors in an intelligent tutoring system

Muldner, K., Burleson, W., Van De Sande, B. & VanLehn, K., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 6094 LNCS. p. 184-193 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6094 LNCS, no. PART 1).

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

Intelligent Tutoring Systems
Gaming
Intelligent systems
Students
Individual Differences
4 Citations (Scopus)

Developing an intelligent tutoring system using natural language for knowledge representation

Jung, S. Y. & VanLehn, K., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6095 LNCS. p. 355-358 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6095 LNCS, no. PART 2).

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

Intelligent Tutoring Systems
Knowledge representation
Intelligent systems
Knowledge Representation
Natural Language
33 Citations (Scopus)

Do micro-level tutorial decisions matter: Applying reinforcement learning to induce pedagogical tutorial tactics

Chi, M., VanLehn, K. & Litman, D., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 6094 LNCS. p. 224-234 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6094 LNCS, no. PART 1).

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

Reinforcement learning
Reinforcement Learning
Students
Student Learning
Interaction
11 Citations (Scopus)

Inducing effective pedagogical strategies using learning context features

Chi, M., VanLehn, K., Litman, D. & Jordan, P., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6075 LNCS. p. 147-158 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6075 LNCS).

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

Learning Strategies
Reinforcement learning
Learning Environment
User Interaction
Reinforcement Learning
24 Citations (Scopus)

"Yes!": Using tutor and sensor data to predict moments of delight during instructional activities

Muldner, K., Burleson, W. & VanLehn, K., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6075 LNCS. p. 159-170 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6075 LNCS).

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

Intelligent Tutoring Systems
Students
Moment
Predict
Sensor
2009
6 Citations (Scopus)

Collaborative dialog while studying worked-out examples

Hausmann, R. G. M., Nokes, T. J., VanLehn, K. & Van De Sande, B., 2009, Frontiers in Artificial Intelligence and Applications. 1 ed. Vol. 200. p. 596-598 3 p. (Frontiers in Artificial Intelligence and Applications; vol. 200, no. 1).

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

Repair
Processing
12 Citations (Scopus)

To elicit or to tell: Does it matter

Chi, M., Jordan, P., VanLehn, K. & Litman, D., 2009, Frontiers in Artificial Intelligence and Applications. 1 ed. Vol. 200. p. 197-204 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 200, no. 1).

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

Reinforcement learning
Students
2008

Bi-directional search for bugs: A tool for accelerating knowledge acquisition for equation-based tutoring systems

Jung, S. Y. & VanLehn, K., 2008, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS. p. 758-762 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5091 LNCS).

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

Knowledge Acquisition
Knowledge acquisition
Knowledge Base
Authoring
Intelligent systems
2 Citations (Scopus)

Bridging principles and examples through analogy and explanation

Nokes, T. J. & VanLehn, K., 2008, Computer-Supported Collaborative Learning Conference, CSCL. PART 3 ed. p. 100-102 3 p.

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

Students
student
learning
learning prerequisite
physics
7 Citations (Scopus)

Eliminating the gap between the high and low students through meta-cognitive strategy instruction

Chi, M. & VanLehn, K., 2008, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS. p. 603-613 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5091 LNCS).

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

Physics
Intelligent systems
Students
Intelligent Tutoring Systems
Teaching
1 Citation (Scopus)

Productive dialog during collaborative problem solving

Hausmann, R. G. M., Van De Sande, B., van de Sande, C. & VanLehn, K., 2008, Computer-Supported Collaborative Learning Conference, CSCL. PART 1 ed. p. 327-334 8 p.

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

dialogue
Intelligent systems
Students
dyad
conversation
15 Citations (Scopus)

Reinforcement learning-based feature selection for developing pedagogically effective tutorial dialogue tactics

Chi, M., Jordan, P., VanLehn, K. & Hall, M., 2008, Educational Data Mining 2008 - 1st International Conference on Educational Data Mining, Proceedings. p. 258-265 8 p.

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

Reinforcement learning
Feature extraction
10 Citations (Scopus)

Shall we explain? Augmenting learning from intelligent tutoring systems and peer collaboration

Hausmann, R. G. M., Van De Sande, B. & VanLehn, K., 2008, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS. p. 636-645 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5091 LNCS).

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

Intelligent Tutoring Systems
Intelligent systems
Categorical or nominal
Standard deviation
Students
5 Citations (Scopus)

Trialog: How peer collaboration helps remediate errors in an ITS

Hausmann, R. G. M., Van De Sande, B. & VanLehn, K., 2008, Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21. p. 415-420 6 p.

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

Intelligent systems
Students
Feedback
2 Citations (Scopus)

XTutor: An intelligent tutor system for science and math based on excel

Gheorghiu, R. & VanLehn, K., 2008, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS. p. 749-751 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5091 LNCS).

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

Excel
Intelligent systems
Intelligent Systems
Feedback
Intelligent Tutoring Systems
2007
7 Citations (Scopus)

What's in a step? Toward general, abstract representations of tutoring system log data

VanLehn, K., Koedinger, K. R., Skogsholm, A., Nwaigwe, A., Hausmann, R. G. M., Weinstein, A. & Billings, B., 2007, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4511 LNCS. p. 455-459 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4511 LNCS).

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

Datalog
Information Systems
Students
Information Storage and Retrieval
Learning
2006
11 Citations (Scopus)

A comparison of decision-theoretic, fixed-policy and random tutorial action selection

Murray, R. C. & VanLehn, K., 2006, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4053 LNCS. p. 114-123 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4053 LNCS).

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

Decision theory
Students
Decision Theory
Policy
Scenarios
25 Citations (Scopus)

A natural language tutorial dialogue system for physics

Jordan, P. W., Makatchev, M., Pappuswamy, U., VanLehn, K. & Albacete, P., 2006, FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. Vol. 2006. p. 521-526 6 p.

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

Physics
Students
Feedback

Representation and reasoning for deeper natural language understanding in a physics tutoring system

Makatchev, M., VanLehn, K., Jordan, P. W. & Pappuswamy, U., 2006, FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. Vol. 2006. p. 682-687 6 p.

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

Knowledge representation
Mechanics
Physics
Semantics
Students
19 Citations (Scopus)

Scaffolding problem solving with annotated, worked-out examples to promote deep learning

Ringenberg, M. A. & VanLehn, K., 2006, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4053 LNCS. p. 625-634 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4053 LNCS).

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

Intelligent Tutoring Systems
Physics
Intelligent systems
Mental Competency
Learning
2005
3 Citations (Scopus)

A multi-tier NL-knowledge clustering for classifying students' essays

Pappuswamy, U., Bhembe, D., Jordan, P. W. & VanLehn, K., 2005, Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence. Russell, I. & Markov, Z. (eds.). p. 566-571 6 p.

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

Students
Classifiers
Physics
Semantics
2 Citations (Scopus)

A supervised clustering method for text classification

Pappuswamy, U., Bhembe, D., Jordan, P. W. & VanLehn, K., 2005, Lecture Notes in Computer Science. Gelbukh, A. (ed.). Vol. 3406. p. 704-714 11 p.

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

Students
Physics
7 Citations (Scopus)

Intention-based scoring: An approach to measuring success at solving the composition problem

Lane, H. C. & VanLehn, K., 2005, Proceedings of the Thirty-Sixth SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2005. p. 373-377 5 p.

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

Students
Chemical analysis
Inspection
2004
8 Citations (Scopus)

A dialogue-based tutoring system for beginning programming

Lane, H. C. & VanLehn, K., 2004, Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004. Barr, V. & Markov, Z. (eds.). Vol. 2. p. 449-454 6 p.

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

Students
Intelligent systems
Decomposition
2003
18 Citations (Scopus)

Coached program planning: Dialogue-based support for novice program design

Lane, H. C. & VanLehn, K., 2003, SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education). p. 148-152 5 p.

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

program planning
Planning
artificial intelligence
Intelligent systems
teachers
3 Citations (Scopus)

Modeling hinting strategies for geometry theorem proving

Matsuda, N. & VanLehn, K., 2003, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). Brusilovsky, P., Corbett, A. & Rosis, F. (eds.). Vol. 2702. p. 373-377 5 p.

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

Theorem proving
Students
Geometry
5 Citations (Scopus)

The advantages of explicitly representing problem spaces

VanLehn, K., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 2702. p. 3 1 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2702).

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

2002
8 Citations (Scopus)

A hybrid language understanding approach for robust selection of tutoring goals

Rosé, C. P., Bhembe, D., Roque, A., Siler, S., Srivastava, R. & VanLehn, K., 2002, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 2363. p. 552-561 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2363).

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

Physics
Hybrid Approach
Students
Demonstrate
Language
24 Citations (Scopus)

Minimally invasive tutoring of complex physics problem solving

VanLehn, K., Lynch, C., Taylor, L., Weinstein, A., Shelby, R., Schulze, K., Treacy, D. & Wintersgill, M., 2002, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 2363. p. 367-376 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2363).

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

Physics
Textbooks
Teaching
Curricula
Knowledge