Koedinger, Kenneth R.

Cognitive Tutors: Lessons Learned

Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995) · Journal of the Learning Sciences

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 1,982

Ethics of AI in Education: Towards a Community-Wide Framework

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., et al. (2022) · International Journal of Artificial Intelligence in Education

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 1,437

The Knowledge‐Learning‐Instruction Framework: Bridging the Science‐Practice Chasm to Enhance Robust Student Learning

Koedinger, K. R., Corbett, A. T., & Perfetti, C. (2012) · Cognitive Science

Visual and Cognitive Learning ProcessesInnovative Teaching and Learning Methods

Cited by 772

Exploring the Assistance Dilemma in Experiments with Cognitive Tutors

Koedinger, K. R., & Aleven, V. (2007) · Educational Psychology Review

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 632

“Learning factors analysis-a general method for cognitive model evaluation and improvement,”

Cen, H., Koedinger, K., & Junker, B. (2006) · Lecture notes in computer science

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 572

The Real Story Behind Story Problems: Effects of Representations on Quantitative Reasoning

Koedinger, K. R., & Nathan, M. J. (2004) · Journal of the Learning Sciences

Mathematics Education and PedagogyMathematics Education and Teaching Techniques

Cited by 431

Detecting Student Misuse of Intelligent Tutoring Systems

Baker, R. S., Corbett, A. T., & Koedinger, K. R. (2004) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 353

Limitations of Student Control: Do Students Know when They Need Help?

Aleven, V., & Koedinger, K. R. (2000) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 236

New Potentials for Data‐Driven Intelligent Tutoring System Development and Optimization

Koedinger, K. R., Brunskill, E., Baker, R. S. J. D., McLaughlin, E. A., & Stamper, J. (2013) · AI Magazine

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 178

On the Benefits of Seeking (and Avoiding) Help in Online Problem-Solving Environments

Roll, I., Baker, R. S. J. D., Aleven, V., & Koedinger, K. R. (2014) · Journal of the Learning Sciences

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 109

Accounting for Beneficial Effects of Worked Examples in Tutored Problem Solving

Salden, R. J. C. M., Koedinger, K. R., Renkl, A., Aleven, V., & McLaren, B. M. (2010) · Educational Psychology Review

Visual and Cognitive Learning ProcessesIntelligent Tutoring Systems and Adaptive Learning

Cited by 96

Is Difficulty Overrated?: The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games

Lomas, J. D., Koedinger, K., Patel, N., Shodhan, S., Poonwala, N., & Forlizzi, J. L. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Educational Games and GamificationDigital Games and Media

Cited by 74

Human-Machine Student Model Discovery and Improvement Using DataShop

Stamper, J. C., & Koedinger, K. R. (2011) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 58

Supporting skill integration in an intelligent tutoring system for code tracing

Huang, Y., Brusilovsky, P., Guerra, J., Koedinger, K., & Schunn, C. (2023) · Journal of Computer Assisted Learning

Intelligent Tutoring Systems and Adaptive LearningTeaching and Learning Programming

Cited by 32

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation

Chen, E., Lee, J.-E., Lin, J., & Koedinger, K. (2024) · Proceedings of the Eleventh ACM Conference on Learning @ Scale

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 31

Adaptive Empathy Learning Support in Peer Review Scenarios

Wambsganss, T., Soellner, M., Koedinger, K. R., & Leimeister, J. M. (2022) · CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 24

When and Why Does Mastery Learning Work: Instructional Experiments with ACT-R “SimStudents”

MacLaren, B., & Koedinger, K. (2002) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 20

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study

Matsuda, N., Cohen, W. W., Sewall, J., Lacerda, G., & Koedinger, K. R. (2008) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 17

Beyond explicit feedback: new directions in adaptive collaborative learning support

Walker, E., Rummel, N., & Koedinger, K. R. (2009) · Proceedings of the 9th international conference on Computer supported collaborative learning - CSCL'09

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 16

Learning Cognitive Models Using Neural Networks

Chaplot, D. S., MacLellan, C., Salakhutdinov, R., & Koedinger, K. (2018) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 11

The developmental progression from implicit to explicit knowledge: A computational approach

Alibali, M. W., & Koedinger, K. R. (1999) · Behavioral and Brain Sciences

Cognitive and developmental aspects of mathematical skillsChild and Animal Learning Development

Cited by 8

LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback

Zhao, C. Q., Cao, J., Lin, J., & Koedinger, K. R. (2026) · arXiv

Intelligent Tutoring Systems and Adaptive LearningStudent Assessment and Feedback

Cited by 4

Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning

Cao, J., Zhao, C. Q., Schunn, C., McLaughlin, E. A., Lin, J., & Koedinger, K. R. (2026) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 0