Kenneth R. Koedinger

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 94

Top Venues

EDM

CoRR

L@S

Int. J. Artif. Intell. Educ.

Publications

Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger
Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. L@S (2024)
Qianou Ma, Hua Shen, Kenneth R. Koedinger, Sherry Tongshuang Wu
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. AIED (1) (2024)
Danielle R. Thomas, Erin Gatz, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. AIED (1) (2024)
Wode Ni, Sam Estep, Hwei-Shin Harriman, Kenneth R. Koedinger, Joshua Sunshine
Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. L@S (2024)
Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. CoRR (2024)
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. L@S (2024)
Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. L@S (2024)
Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR (2024)
Napol Rachatasumrit, Daniel Weitekamp III, Kenneth R. Koedinger
Good Fit Bad Policy: Why Fit Statistics Are a Biased Measure of Knowledge Tracer Quality. AIED Companion (2) (2024)
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. CoRR (2024)
Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger
Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. CoRR (2024)
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK (2024)
Jionghao Lin, Kenneth R. Koedinger
HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. L@S (2024)
Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR (2024)
Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. L@S (2024)
Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. CoRR (2024)
Daniel Weitekamp III, Napol Rachatasumrit, Rachael Wei, Erik Harpstead, Kenneth R. Koedinger
Simulating Learning from Language and Examples. AIED (Posters/Late Breaking Results/...) (2023)
Danielle R. Thomas, Shivang Gupta, Kenneth R. Koedinger
Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. AIED (Posters/Late Breaking Results/...) (2023)
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR (2023)
Napol Rachatasumrit, Paulo F. Carvalho, Sophie Li, Kenneth R. Koedinger
Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples. AIED (2023)
Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. Human-AI Math Tutoring@AIED (2023)
Qianou Ma, Tongshuang Wu, Kenneth R. Koedinger
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. CoRR (2023)
Conrad Borchers, Paulo F. Carvalho, Meng Xia, Pinyang Liu, Kenneth R. Koedinger, Vincent Aleven
What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring. EC-TEL (2023)
Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu
HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. CoRR (2023)
Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) (2023)
Danielle Thomas, Xinyu Yang, Shivang Gupta, Adetunji Adeniran, Elizabeth A. McLaughlin, Kenneth R. Koedinger
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. LAK (2023)
Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. CoRR (2023)
Yun Huang, Peter Brusilovsky, Julio Guerra, Kenneth R. Koedinger, Christian Schunn
Supporting skill integration in an intelligent tutoring system for code tracing. J. Comput. Assist. Learn. 39 (2) (2023)
Yun Huang, Steven Dang, J. Elizabeth Richey, Pallavi Chhabra, Danielle R. Thomas, Michael W. Asher, Nikki G. Lobczowski, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
Using latent variable models to make gaming-the-system detection robust to context variations. User Model. User Adapt. Interact. 33 (5) (2023)
Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. Human-AI Math Tutoring@AIED (2023)
Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. CoRR (2023)
Daniel Weitekamp III, Kenneth R. Koedinger
Computational Models of Learning: Deepening Care and Carefulness in AI in Education. AIED (Posters/Late Breaking Results/...) (2023)
Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. L@S (2022)
Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Maria Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt, Kenneth R. Koedinger
Ethics of AI in Education: Towards a Community-Wide Framework. Int. J. Artif. Intell. Educ. 32 (3) (2022)
Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Christopher J. MacLellan, Kenneth R. Koedinger
Domain-General Tutor Authoring with Apprentice Learner Models. Int. J. Artif. Intell. Educ. 32 (1) (2022)
Thiemo Wambsganss, Matthias Söllner, Kenneth R. Koedinger, Jan Marco Leimeister
Adaptive Empathy Learning Support in Peer Review Scenarios. CHI (2022)
Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
Item Response Theory-Based Gaming Detection. EDM (2022)
Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation. AIED (1) (2022)
Paulo Carvalho, Napol Rachatasumrit, Kenneth R. Koedinger
Learning depends on knowledge: The benefits of retrieval practice vary for facts and skills. CogSci (2022)
Yun Huang, Nikki G. Lobczowski, J. Elizabeth Richey, Elizabeth A. McLaughlin, Michael W. Asher, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger
A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. LAK (2021)
Peter Schaldenbrand, Nikki G. Lobczowski, J. Elizabeth Richey, Shivang Gupta, Elizabeth A. McLaughlin, Adetunji Adeniran, Kenneth R. Koedinger
Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. AIED (2) (2021)
Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn P. Rosé, Justin Reich
Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Daniel Weitekamp III, Christopher MacLellan, Erik Harpstead, Kenneth R. Koedinger
Decomposed Inductive Procedure Learning. CoRR (2021)
Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger
Toward Stable Asymptotic Learning with Simulated Learners. AIED (2) (2021)
Napol Rachatasumrit, Kenneth R. Koedinger
Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice. EDM (2021)
Nicholas Diana, Jessica Hammer, John C. Stamper, Kenneth R. Koedinger
Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. CHI PLAY (Companion) (2020)
Steven Dang, Kenneth R. Koedinger
The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation. EDM (2020)
Yun Huang, Vincent Aleven, Elizabeth A. McLaughlin, Kenneth R. Koedinger
A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems. AIED (2) (2020)
J. Elizabeth Richey, Nikki G. Lobczowski, Paulo F. Carvalho, Kenneth R. Koedinger
Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software. AIED (1) (2020)
Xu Wang, Meredith M. Thompson, Kexin Yang, Dan Roy, Kenneth R. Koedinger, Carolyn Penstein Rosé, Justin Reich
Practice-Based Teacher Education With ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. ICLS (2020)
Daniel Weitekamp III, Erik Harpstead, Kenneth R. Koedinger
An Interaction Design for Machine Teaching to Develop AI Tutors. CHI (2020)
Nesra Yannier, Scott E. Hudson, Kenneth R. Koedinger
Active Learning is About More Than Hands-On: A Mixed-Reality AI System to Support STEM Education. Int. J. Artif. Intell. Educ. 30 (1) (2020)
Daniel Weitekamp III, Zihuiwen Ye, Napol Rachatasumrit, Erik Harpstead, Kenneth R. Koedinger
Investigating Differential Error Types Between Human and Simulated Learners. AIED (1) (2020)
Nicholas Diana, John C. Stamper, Kenneth R. Koedinger
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. AIED (2) (2019)
Daniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger
Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning. EDM (2019)
Khushboo Thaker, Paulo Carvalho, Kenneth R. Koedinger
Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs. LAK (2019)
Carolyn Penstein Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger
Explanatory learner models: Why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50 (6) (2019)
Judith Uchidiuno, Evelyn Yarzebinski, Emily Keebler, Kenneth R. Koedinger, Amy Ogan
Learning from african classroom pedagogy to increase student engagement in education technologies. COMPASS (2019)
Xu Wang, Srinivasa Teja Talluri, Carolyn Penstein Rosé, Kenneth R. Koedinger
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities. L@S (2019)
Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger
Learning Cognitive Models Using Neural Networks. AIED (1) (2018)
Kenneth R. Koedinger, Richard Scheines, Peter Schaldenbrand
Is the Doer Effect Robust Across Multiple Data Sets? EDM (2018)
Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger
Learning Cognitive Models using Neural Networks. CoRR (2018)
Erik Harpstead, Christopher J. MacLellan, Robert P. Marinier, Kenneth R. Koedinger
Towards Natural Cognitive System Training Interactions: A Preliminary Framework. AAAI Spring Symposia (2018)
Clifford A. Shaffer, Peter Brusilovsky, Kenneth R. Koedinger, Stephen H. Edwards
CS Education Infrastructure for All: Interoperability for Tools and Data Analytics (Abstract Only). SIGCSE (2018)
Nicholas Diana, John C. Stamper, Kenneth R. Koedinger
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. EDM (2017)
Ran Liu, Kenneth R. Koedinger
Towards reliable and valid measurement of individualized student parameters. EDM (2017)
Ran Liu, Kenneth R. Koedinger
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. EDM (2017)
Kelly Rivers, Kenneth R. Koedinger
Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor. Int. J. Artif. Intell. Educ. 27 (1) (2017)
Judith Uchidiuno, Jessica Hammer, Evelyn Yarzebinski, Kenneth R. Koedinger, Amy Ogan
Characterizing ELL Students' Behavior During MOOC Videos Using Content Type. L@S (2017)
Eliane Stampfer Wiese, Kenneth R. Koedinger
Designing Grounded Feedback: Criteria for Using Linked Representations to Support Learning of Abstract Symbols. Int. J. Artif. Intell. Educ. 27 (3) (2017)
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. AIED (2017)
J. Derek Lomas, Kenneth R. Koedinger, Nirmal Patel, Sharan Shodhan, Nikhil Poonwala, Jodi L. Forlizzi
Is Difficulty Overrated?: The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games. CHI (2017)
Steven Dang, Michael Yudelson, Kenneth R. Koedinger
Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems. L@S (2017)
Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM (2017)
Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Martin Van Velsen, Octav Popescu, Sandra Demi, Michael A. Ringenberg, Kenneth R. Koedinger
Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers. Int. J. Artif. Intell. Educ. 26 (1) (2016)
Kenneth R. Koedinger, Elizabeth A. McLaughlin, Julianna Zhuxin Jia, Norman L. Bier
Is the doer effect a causal relationship?: how can we tell and why it's important. LAK (2016)
Nesra Yannier, Scott E. Hudson, Eliane Stampfer Wiese, Kenneth R. Koedinger
Adding Physical Objects to an Interactive Game Improves Learning and Enjoyment: Evidence from EarthShake. ACM Trans. Comput. Hum. Interact. 23 (4) (2016)
Kenneth R. Koedinger, Michael Yudelson, Philip I. Pavlik Jr.
Testing Theories of Transfer Using Error Rate Learning Curves. Top. Cogn. Sci. 8 (3) (2016)
Kelly Rivers, Erik Harpstead, Kenneth R. Koedinger
Learning Curve Analysis for Programming: Which Concepts do Students Struggle With? ICER (2016)
Vincent Aleven, Ido Roll, Bruce M. McLaren, Kenneth R. Koedinger
Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 26 (1) (2016)
Christopher J. MacLellan, Erik Harpstead, Rony Patel, Kenneth R. Koedinger
The Apprentice Learner architecture: Closing the loop between learning theory and educational data. EDM (2016)
J. Derek Lomas, Jodi Forlizzi, Nikhil Poonwala, Nirmal Patel, Sharan Shodhan, Kishan Patel, Kenneth R. Koedinger, Emma Brunskill
Interface Design Optimization as a Multi-Armed Bandit Problem. CHI (2016)
Ran Liu, Rony Patel, Kenneth R. Koedinger
Modeling common misconceptions in learning process data. LAK (2016)
Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. EDM (2016)
Kenneth R. Koedinger, Elizabeth A. McLaughlin
Closing the Loop with Quantitative Cognitive Task Analysis. EDM (2016)
Noboru Matsuda, Nikolaos Barbalios, Zhengzheng Zhao, Anya Ramamurthy, Gabriel J. Stylianides, Kenneth R. Koedinger
Tell Me How to Teach, I'll Learn How to Solve Problems. ITS (2016)
Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger
Data-driven Automated Induction of Prerequisite Structure Graphs. EDM (2016)
Eliane Wiese, Rony Patel, Kenneth R. Koedinger
Benefits for Grounded Feedback over Correctness in a Fraction Addition Tutor. CogSci (2016)
Judith Uchidiuno, Amy Ogan, Kenneth R. Koedinger, Evelyn Yarzebinski, Jessica Hammer
Browser Language Preferences as a Metric for Identifying ESL Speakers in MOOCs. L@S (2016)
Eliane Wiese, Rony Patel, Kenneth R. Koedinger
Why Sense-Making through Magnitude May Be Harder for Fractions than for Whole Numbers. CogSci (2016)
Kenneth R. Koedinger, Vincent Aleven
An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City". Int. J. Artif. Intell. Educ. 26 (1) (2016)
Rony Patel, Ran Liu, Kenneth R. Koedinger
When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. CogSci (2016)
Xu Wang, Diyi Yang, Miaomiao Wen, Kenneth R. Koedinger, Carolyn Penstein Rosé
Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains. EDM (2015)
Nan Li, Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger
Integrating representation learning and skill learning in a human-like intelligent agent. Artif. Intell. 219 (2015)
Noboru Matsuda, William W. Cohen, Kenneth R. Koedinger
Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. Int. J. Artif. Intell. Educ. 25 (1) (2015)
Philip I. Pavlik, Michael Yudelson, Kenneth R. Koedinger
A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes. Int. J. Artif. Intell. Educ. 25 (3) (2015)
Karrie E. Godwin, Derek Lomas, Kenneth R. Koedinger, Anna V. Fisher
Monster Mischief: Designing a Video Game to Assess Selective Sustained Attention. Int. J. Gaming Comput. Mediat. Simulations 7 (4) (2015)
Ran Liu, Kenneth R. Koedinger
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. EDM (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kenneth R. Koedinger