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Research Output 1980 2019

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

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

Teaching
Students
classroom
student
teacher

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
Semantics
semantics
Turk
evaluation
biology
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
7 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 others, Kelly, 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
1 Citation (Scopus)

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
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
6 Citations (Scopus)

Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration

Viswanathan, S. A. & VanLehn, K., Apr 1 2018, In : IEEE Transactions on Learning Technologies. 11, 2, p. 230-242 13 p.

Research output: Contribution to journalArticle

Students
Detectors
student
User interfaces
Learning systems
2017
2 Citations (Scopus)

Can a Non-Cognitive Learning Companion Increase the Effectiveness of a Meta-Cognitive Learning Strategy?

VanLehn, K., Zhang, L., Burleson, W., Girard, S. & Hidago-Pontet, Y., Jul 1 2017, In : IEEE Transactions on Learning Technologies. 10, 3, p. 277-289 13 p., 7523430.

Research output: Contribution to journalArticle

cognitive learning
learning strategy
tutor
Students
learning
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
14 Citations (Scopus)

Learning How to Construct Models of Dynamic Systems: An Initial Evaluation of the Dragoon Intelligent Tutoring System

VanLehn, K., Wetzel, J., Grover, S. & Van De Sande, B., Apr 1 2017, In : IEEE Transactions on Learning Technologies. 10, 2, p. 154-167 14 p., 7374728.

Research output: Contribution to journalArticle

Intelligent systems
Dynamical systems
Students
instruction
evaluation
2016
3 Citations (Scopus)

Adaptively selecting biology questions generated from a semantic network

Zhang, L. & VanLehn, K., Jun 7 2016, (Accepted/In press) In : Interactive Learning Environments. p. 1-19 19 p.

Research output: Contribution to journalArticle

biology
Semantics
semantics
Students
student
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
5 Citations (Scopus)

How do machine-generated questions compare to human-generated questions?

Zhang, L. & VanLehn, K., Dec 1 2016, In : Research and Practice in Technology Enhanced Learning. 11, 1, 7.

Research output: Contribution to journalArticle

Open Access
biology
instructor
Textbooks
Students
textbook
7 Citations (Scopus)

Learning Science by Constructing Models: Can Dragoon Increase Learning without Increasing the Time Required?

VanLehn, K., Chung, G., Grover, S., Madni, A. & Wetzel, J., Dec 1 2016, In : International Journal of Artificial Intelligence in Education. 26, 4, p. 1033-1068 36 p.

Research output: Contribution to journalArticle

instruction
science
learning
classroom
school
1 Citation (Scopus)

Reflections on Andes' Goal-free User Interface

VanLehn, K., Mar 1 2016, In : International Journal of Artificial Intelligence in Education. 26, 1, p. 82-90 9 p.

Research output: Contribution to journalArticle

user interface
User interfaces
Students
indication
student
16 Citations (Scopus)

Regulative Loops, Step Loops and Task Loops

VanLehn, K., Mar 1 2016, In : International Journal of Artificial Intelligence in Education. 26, 1, p. 107-112 6 p.

Research output: Contribution to journalArticle

gold standard
performance
Students
student
5 Citations (Scopus)

Some less obvious features of classroom orchestration systems

VanLehn, K., Cheema, S., Wetzel, J. & Pead, D., Jan 1 2016, Educational Technologies: Challenges, Applications and Learning Outcomes. Nova Science Publishers, Inc., p. 73-94 22 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

classroom
small group work
poster
teacher
student
6 Citations (Scopus)

The design and development of the dragoon intelligent tutoring system for model construction: lessons learned

Wetzel, J., VanLehn, K., Butler, D., Chaudhari, P., Desai, A., Feng, J., Grover, S., Joiner, R., Kong-Sivert, M., Patade, V., Samala, R., Tiwari, M. & van de Sande, B., Mar 11 2016, (Accepted/In press) In : Interactive Learning Environments. p. 1-21 21 p.

Research output: Contribution to journalArticle

Intelligent systems
Dynamical systems
Students
User interfaces
Teaching
2015
2 Citations (Scopus)

Investigating microadaptation in one-to-one human tutoring

Siler, S. A. & VanLehn, K., Jul 3 2015, In : Journal of Experimental Education. 83, 3, p. 344-367 24 p.

Research output: Contribution to journalArticle

tutor
Learning
competence assessment
Mental Competency
experience
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
16 Citations (Scopus)

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

Zhang, L., VanLehn, K., Girard, S., Burleson, W., Chavez-Echeagaray, M. E., Gonzalez-Sanchez, J. & Hidalgo-Pontet, Y., 2014, In : Computers and Education. 75, p. 196-217 22 p.

Research output: Contribution to journalArticle

tutor
Dynamical systems
Students
evaluation
student
23 Citations (Scopus)

Studying, teaching and applying sustainability visions using systems modeling

Iwaniec, D. M., Childers, D., VanLehn, K. & Wiek, A., 2014, In : Sustainability (Switzerland). 6, 7, p. 4452-4469 18 p.

Research output: Contribution to journalArticle

teaching
Sustainable development
Teaching
sustainability
modeling
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
6 Citations (Scopus)

Arithmetic procedures are induced from examples

VanLehn, K., Aug 21 2013, Conceptual and Procedural Knowledge: The Case of Mathematics. Taylor and Francis, p. 133-180 48 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

21 Citations (Scopus)

Coordinating principles and examples through analogy and self-explanation

Nokes-Malach, T. J., VanLehn, K., Belenky, D. M., Lichtenstein, M. & Cox, G., Dec 2013, In : European Journal of Psychology of Education. 28, 4, p. 1237-1263 27 p.

Research output: Contribution to journalArticle

Learning
Students
Reading
Group
learning
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
27 Citations (Scopus)

Model construction as a learning activity: A design space and review

VanLehn, K., Aug 2013, In : Interactive Learning Environments. 21, 4, p. 371-413 43 p.

Research output: Contribution to journalArticle

learning
Students
student
Formal languages
mathematics
5 Citations (Scopus)

Repair Theory: A Generative Theory of Bugs in Procedural Skills

Brown, J. S. & VanLehn, K., Oct 2 2013, Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence. Elsevier Inc., p. 338-361 24 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Repair

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
2012
10 Citations (Scopus)

Adaptive expertise as acceleration of future learning: A case study

VanLehn, K. & Chi, M., Jan 1 2012, Adaptive Technologies for Training and Education. Cambridge University Press, p. 28-45 18 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Physics
Students
Intelligent systems
Experiments
81 Citations (Scopus)

Seeing Deep Structure From the Interactions of Surface Features

Chi, M. & VanLehn, K., Jul 2012, In : Educational Psychologist. 47, 3, p. 177-188 12 p.

Research output: Contribution to journalArticle

Cues
Research Personnel
Students
Transfer (Psychology)
2011
37 Citations (Scopus)

An analysis of students' gaming behaviors in an intelligent tutoring system: Predictors and impacts

Muldner, K., Burleson, W., Van De Sande, B. & VanLehn, K., Apr 2011, In : User Modeling and User-Adapted Interaction. 21, 1-2, p. 99-135 37 p.

Research output: Contribution to journalArticle

Intelligent systems
Students
student
learning
homework
35 Citations (Scopus)
Reinforcement learning
reinforcement
tactics
Students
language
52 Citations (Scopus)

Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies

Chi, M., VanLehn, K., Litman, D. & Jordan, P., Apr 2011, In : User Modeling and User-Adapted Interaction. 21, 1-2, p. 137-180 44 p.

Research output: Contribution to journalArticle

Reinforcement learning
induction
reinforcement
learning
Students
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
30 Citations (Scopus)

Testing the instructional fit hypothesis: The case of self-explanation prompts

Nokes, T. J., Hausmann, R. G. M., VanLehn, K. & Gershman, S., Sep 2011, In : Instructional Science. 39, 5, p. 645-666 22 p.

Research output: Contribution to journalArticle

Physics
Learning
Cognitive Science
physics
instruction
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
33 Citations (Scopus)

The neural correlates of strategic reading comprehension: Cognitive control and discourse comprehension

Moss, J., Schunn, C. D., Schneider, W., McNamara, D. & VanLehn, K., Sep 15 2011, In : NeuroImage. 58, 2, p. 675-686 12 p.

Research output: Contribution to journalArticle

Reading
Prefrontal Cortex
Brain
Learning
Executive Function
471 Citations (Scopus)
Computer Systems