Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. - Kenneth R. Koedinger; John R. Anderson (Cogn. Sci., 1990)

PAT Goes to College: Evaluating a Cognitive Tutor for Developmental Mathematics. - Kenneth R. Koedinger; Erika L. F. Suecker (ICLS, 1996)

combatting Shallow Learning in a Tutor for Geometry Problem Solving. - Vincent Aleven; Kenneth R. Koedinger; H. Colleen Sinclair; Jaclyn Snyder (Intelligent Tutoring Systems, 1998)

Component-Based Construction of a Science Learning Space. - Kenneth R. Koedinger; Daniel D. Suthers; Kenneth D. Forbus (Intelligent Tutoring Systems, 1998)

Elaborating Models of Algebraic Expression-Writing. - Mary A. Mark; Kenneth R. Koedinger; William S. Hadley (Intelligent Tutoring Systems, 1998)

Illustrating Principled Design: The Early Evolution of a Cognitive Tutor for Algebra Symbolization. - Kenneth R. Koedinger; John R. Anderson (Interact. Learn. Environ., 1998)

Third generation computer tutors: learn from or ignore human tutors? - Albert T. Corbett; John R. Anderson; Arthur C. Graesser; Kenneth R. Koedinger; Kurt VanLehn (CHI Extended Abstracts, 1999)

Goals and learning in microworlds. - Craig S. Miller; Jill Fain Lehman; Kenneth R. Koedinger (Cogn. Sci., 1999)

Limitations of Student Control: Do Students Know When They Need Help? - Vincent Aleven; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2000)

Solving inductive reasoning problems in mathematics: not-so-trivial pursuit. - Lisa A. Haverty; Kenneth R. Koedinger; David Klahr; Martha W. Alibali (Cogn. Sci., 2000)

Pilot-Testing a Tutorial Dialogue System That Supports Self-Explanation. - Vincent Aleven; Octav Popescu; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2002)

An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor. - Neil T. Heffernan; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2002)

When and Why Does Mastery Learning Work: Instructional Experiments with ACT-R "SimStudents". - Benjamin MacLaren; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2002)

An Empirical Assessment of Comprehension Fostering Features in an Intelligent Tutoring System. - Santosh A. Mathan; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2002)

An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor. - Vincent Aleven; Kenneth R. Koedinger (Cogn. Sci., 2002)

A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling. - Antonija Mitrovic; Kenneth R. Koedinger; Brent Martin (User Modeling, 2003)

Off-task behavior in the cognitive tutor classroom: when students "game the system". - Ryan Shaun Baker; Albert T. Corbett; Kenneth R. Koedinger; Angela Z. Wagner (CHI, 2004)

Predictive human performance modeling made easy. - Bonnie E. John; Konstantine C. Prevas; Dario D. Salvucci; Kenneth R. Koedinger (CHI, 2004)

Understanding Students' Explanations in Geometry Tutoring. - Octav Popescu; Vincent Aleven; Kenneth R. Koedinger (COLING, 2004)

ALPS: Bringing Active Inquiry into Active Problem Solving. - Scott M. Stevens; Albert T. Corbett; Kenneth R. Koedinger; Angela Z. Wagner; Chih-Yu Chao; Harry Ulrich; Sharon Lesgold (CELDA, 2004)

What Goals Do Students Have When Choosing the Actions They Perform? - Ido Roll; Ryan Shaun Baker; Vincent Aleven; Kenneth R. Koedinger (ICCM, 2004)

Learning to Distinguish Between Representations of Data: A Cognitive Tutor That Uses Contrasting Cases. - Ryan Shaun Baker; Albert T. Corbett; Kenneth R. Koedinger (ICLS, 2004)

The Impact of Spurious Correlations on Students' Problem-Solving. - N. M. Chang; Kenneth R. Koedinger; Marsha C. Lovett (ICLS, 2004)

Toward Cognitive Tutoring in a Collaborative, Web-Based Environment. - Bruce M. McLaren; Kenneth R. Koedinger; Mike Schneider; Andreas Harrer; Lars Bollen (ICWE Workshops, 2004)

Toward Tutoring Help Seeking: Applying Cognitive Modeling to Meta-cognitive Skills. - Vincent Aleven; Bruce M. McLaren; Ido Roll; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

Evaluating the Effectiveness of a Tutorial Dialogue System for Self-Explanation. - Vincent Aleven; Amy Ogan; Octav Popescu; Cristen Torrey; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

Student Question-Asking Patterns in an Intelligent Algebra Tutor. - Lisa Anthony; Albert T. Corbett; Angela Z. Wagner; Scott M. Stevens; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

Detecting Student Misuse of Intelligent Tutoring Systems. - Ryan Shaun Baker; Albert T. Corbett; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems. - Ryan Shaun Baker; Angela Z. Wagner; Albert T. Corbett; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model. - Ethan A. Croteau; Neil T. Heffernan; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions. - Neil T. Heffernan; Peter M. Wiemer-Hastings; Gregory Aist; Vincent Aleven; Ivon Arroyo; Paul Brna; Mark G. Core; Martha W. Evens; Reva Freedman; Michael Glass; Arthur C. Graesser; Kenneth R. Koedinger; et al. (Intelligent Tutoring Systems, 2004)

Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration. - Kenneth R. Koedinger; Vincent Aleven; Neil T. Heffernan; Bruce M. McLaren; Matthew Hockenberry (Intelligent Tutoring Systems, 2004)

Promoting Effective Help-Seeking Behavior Through Declarative Instruction. - Ido Roll; Vincent Aleven; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. - Ido Roll; Ryan Shaun Baker; Vincent Aleven; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2004)

Rapid development of computer-based tutors with the Cognitive Tutor Authoring Tools (CTAT). - Vincent Aleven; Bruce M. McLaren; Kenneth R. Koedinger (AIED, 2005)

An architecture to combine meta-cognitive and cognitive tutoring: Pilot testing the Help Tutor. - Vincent Aleven; Ido Roll; Bruce M. McLaren; Eunjeong Ryu; Kenneth R. Koedinger (AIED, 2005)

Do Performance Goals Lead Students to Game the System? - Ryan Shaun Baker; Ido Roll; Albert T. Corbett; Kenneth R. Koedinger (AIED, 2005)

On Using Learning Curves to Evaluate ITS. - Brent Martin; Kenneth R. Koedinger; Antonija Mitrovic; Santosh Mathan (AIED, 2005)

Blending Assessment and Instructional Assisting. - Leena M. Razzaq; Mingyu Feng; Goss Nuzzo-Jones; Neil T. Heffernan; Kenneth R. Koedinger; Brian Junker; Steven Ritter 001; Andrea Knight; Edwin Mercado; Terrence E. Turner; Ruta Upalekar; Jason A. Walonoski; et al. (AIED, 2005)

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. - Carolyn Penstein Rosé; Pinar Donmez; Gahgene Gweon; Andrea Knight; Brian Junker; William W. Cohen; Kenneth R. Koedinger; Neil T. Heffernan (AIED, 2005)

The Assistment Builder: A Rapid Development Tool for ITS. - Terrence E. Turner; Michael A. Macasek; Goss Nuzzo-Jones; Neil T. Heffernan; Kenneth R. Koedinger (AIED, 2005)

Evaluation of multimodal input for entering mathematical equations on the computer. - Lisa Anthony; Jie Yang 001; Kenneth R. Koedinger (CHI Extended Abstracts, 2005)

Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. - Ryan Shaun Baker; Albert T. Corbett; Kenneth R. Koedinger; Ido Roll (User Modeling, 2005)

Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. - Ido Roll; Ryan Shaun Baker; Vincent Aleven; Bruce M. McLaren; Kenneth R. Koedinger (User Modeling, 2005)

Evaluating the effect of technology on note-taking and learning. - Aaron Bauer 001; Kenneth R. Koedinger (CHI Extended Abstracts, 2006)

The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS Creation. - Neil T. Heffernan; Terrence E. Turner; Abraao L. N. Lourenco; Michael A. Macasek; Goss Nuzzo-Jones; Kenneth R. Koedinger (FLAIRS, 2006)

Pasting and Encoding: Note-Taking in Online Courses. - Aaron Bauer 001; Kenneth R. Koedinger (ICALT, 2006)

Towards the Application of a Handwriting Interface for Mathematics Learning. - Lisa Anthony; Jie Yang 001; Kenneth R. Koedinger (ICME, 2006)

The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains. - Vincent Aleven; Bruce M. McLaren; Jonathan Sewall; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2006)

Adapting to When Students Game an Intelligent Tutoring System. - Ryan Shaun Joazeiro de Baker; Albert T. Corbett; Kenneth R. Koedinger; Shelley Evenson; Ido Roll; Angela Z. Wagner; Meghan Naim; Jay Raspat; Daniel J. Baker; Joseph E. Beck (Intelligent Tutoring Systems, 2006)

Generalizing Detection of Gaming the System Across a Tutoring Curriculum. - Ryan Shaun Joazeiro de Baker; Albert T. Corbett; Kenneth R. Koedinger; Ido Roll (Intelligent Tutoring Systems, 2006)

Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement. - Hao Cen; Kenneth R. Koedinger; Brian Junker (Intelligent Tutoring Systems, 2006)

Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. - Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2006)

Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor. - Bruce M. McLaren; Sung-Joo Lim; France Gagnon; David Yaron; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2006)

The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning? - Ido Roll; Vincent Aleven; Bruce M. McLaren; Eunjeong Ryu; Ryan Shaun Joazeiro de Baker; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2006)

Towards Teaching Metacognition: Supporting Spontaneous Self-Assessment. - Ido Roll; Eunjeong Ryu; Jonathan Sewall; Brett Leber; Bruce M. McLaren; Vincent Aleven; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2006)

Cognitive Tutors as Research Platforms: Extending an Established Tutoring System for Collaborative and Metacognitive Experimentation. - Erin Walker; Kenneth R. Koedinger; Bruce M. McLaren; Nikol Rummel (Intelligent Tutoring Systems, 2006)

Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. - Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger (WWW, 2006)

Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor. - Vincent Aleven; Bruce M. McLaren; Ido Roll; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2006)

Benefits of Handwritten Input for Students Learning Algebra Equation Solving. - Lisa Anthony; Jie Yang 001; Kenneth R. Koedinger (AIED, 2007)

Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining. - Hao Cen; Kenneth R. Koedinger; Brian Junker (AIED, 2007)

Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (AIED, 2007)

Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab? - Bruce M. McLaren; Sung-Joo Lim; David Yaron; Kenneth R. Koedinger (AIED, 2007)

Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems. - Adaeze Nwaigwe; Kenneth R. Koedinger; Kurt VanLehn; Robert G. M. Hausmann; Anders Weinstein (AIED, 2007)

Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring. - Ido Roll; Vincent Aleven; Bruce M. McLaren; Kenneth R. Koedinger (AIED, 2007)

Optimizing Student Models for Causality. - Benjamin Shih; Kenneth R. Koedinger; Richard Scheines (AIED, 2007)

Who Says Three's a Crowd? Using a Cognitive Tutor to Support Peer Tutoring. - Erin Walker; Bruce M. McLaren; Nikol Rummel; Kenneth R. Koedinger (AIED, 2007)

Selection-based note-taking applications. - Aaron Bauer 001; Kenneth R. Koedinger (CHI, 2007)

Fostering peer collaboration with technology. - Janice D. Gobert; James D. Slotta; Jody Clarke-Midura; Chris Dede; Hannie Gijlers; Nadira Saab; Wouter R. van Joolingen; Ton de Jong; Kenneth R. Koedinger (CSCL, 2007)

The student becomes the master: integrating peer tutoring with cognitive tutoring. - Erin Walker; Nikol Rummel; Bruce M. McLaren; Kenneth R. Koedinger (CSCL, 2007)

Adapting handwriting recognition for applications in algebra learning. - Lisa Anthony; Jie Yang 001; Kenneth R. Koedinger (ACM Multimedia EMME Workshop, 2007)

Doing more than teaching students: opportunities for CALL in the learning sciences. - Ruth Wylie; Teruko Mitamura; Kenneth R. Koedinger; Jim Rankin (SLaTE, 2007)

Evaluating a Simulated Student Using Real Students Data for Training and Testing. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (User Modeling, 2007)

What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data. - Kurt VanLehn; Kenneth R. Koedinger; Alida Skogsholm; Adaeze Nwaigwe; Robert G. M. Hausmann; Anders Weinstein; Benjamin Billings (User Modeling, 2007)

The Difficulty Factors Approach to the Design of Lessons in Intelligent Tutor Curricula. - Ryan Shaun Joazeiro de Baker; Albert T. Corbett; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2007)

A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance. - Leena M. Razzaq; Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger; Brian Junker; Goss Nuzzo-Jones; Michael A. Macasek; Kai P. Rasmussen; Terrence E. Turner; Jason A. Walonoski (Intelligent Educational Machines, 2007)

Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. - Mingyu Feng; Joseph E. Beck; Neil T. Heffernan; Kenneth R. Koedinger (EDM, 2008)

Can we predict which groups of questions students will learn from?. - Mingyu Feng; Neil T. Heffernan; Joseph E. Beck; Kenneth R. Koedinger (EDM, 2008)

An Open Repository and analysis tools for fine-grained, longitudinal learner data. - Kenneth R. Koedinger; Kyle Cunningham; Alida Skogsholm; Brett Leber (EDM, 2008)

Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor. - Philip I. Pavlik; Hao Cen; Lili Wu; Kenneth R. Koedinger (EDM, 2008)

A Response Time Model For Bottom-Out Hints as Worked Examples. - Benjamin Shih; Kenneth R. Koedinger; Richard Scheines (EDM, 2008)

When do diagrams enhance learning? A framework for designing relevant representations. - Jodi L. Davenport; David Yaron; David Klahr; Kenneth R. Koedinger (ICLS (1), 2008)

New challenges in CSCL: towards adaptive script support. - Nikol Rummel; Armin Weinberger; Christof Wecker; Frank Fischer 001; Anne Meier; Eleni Voyiatzaki; Georgios Kahrimanis; Hans Spada; Nikolaos M. Avouris; Erin Walker; Kenneth R. Koedinger; Carolyn P. Rosé; et al. (ICLS (3), 2008)

Comparing Two IRT Models for Conjunctive Skills. - Hao Cen; Kenneth R. Koedinger; Brian Junker (Intelligent Tutoring Systems, 2008)

Story Generation to Accelerate Math Problem Authoring for Practice and Assessment. - Yue Cui 004; Rohit Kumar 001; Carolyn P. Rosé; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2008)

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2008)

When Is Assistance Helpful to Learning? Results in Combining Worked Examples and Intelligent Tutoring. - Bruce M. McLaren; Sung-Joo Lim; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2008)

Using Optimally Selected Drill Practice to Train Basic Facts. - Philip I. Pavlik; Thomas Bolster; Sue-mei Wu; Kenneth R. Koedinger; Brian MacWhinney (Intelligent Tutoring Systems, 2008)

To Tutor the Tutor: Adaptive Domain Support for Peer Tutoring. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2008)

Note-taking, selecting, and choice: designing interfaces that encourage smaller selections. - Aaron Bauer 001; Kenneth R. Koedinger (JCDL, 2008)

Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra Symbolization. - Neil T. Heffernan; Kenneth R. Koedinger; Leena M. Razzaq (Int. J. Artif. Intell. Educ., 2008)

Trade-Offs Between Grounded and Abstract Representations: Evidence From Algebra Problem Solving. - Kenneth R. Koedinger; Martha W. Alibali; Mitchell J. Nathan (Cogn. Sci., 2008)

Toward Next-Generation, Intelligent Tutors: Adding Natural Handwriting Input. - Lisa Anthony; Jie Yang 001; Kenneth R. Koedinger (IEEE Multim., 2008)

Developing a generalizable detector of when students game the system. - Ryan Shaun Joazeiro de Baker; Albert T. Corbett; Ido Roll; Kenneth R. Koedinger (User Model. User Adapt. Interact., 2008)

Educational Software Features that Encourage and Discourage "Gaming the System". - Ryan Shaun Joazeiro de Baker; Adriana M. J. B. de Carvalho; Jay Raspat; Vincent Aleven; Albert T. Corbett; Kenneth R. Koedinger (AIED, 2009)

Performance Factors Analysis - A New Alternative to Knowledge Tracing. - Philip I. Pavlik; Hao Cen; Kenneth R. Koedinger (AIED, 2009)

Modeling Helping Behavior in an Intelligent Tutor for Peer Tutoring. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (AIED, 2009)

Beyond explicit feedback: new directions in adaptive collaborative learning support. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (CSCL (1), 2009)

Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. - Philip I. Pavlik Jr.; Hao Cen; Kenneth R. Koedinger (EDM, 2009)

A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors. - Vincent Aleven; Bruce M. McLaren; Jonathan Sewall; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2009)

Integrating Collaboration and Intelligent Tutoring Data in the Evaluation of a Reciprocal Peer Tutoring Environment. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (Res. Pract. Technol. Enhanc. Learn., 2009)

The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. - Leena M. Razzaq; Jozsef Patvarczki; Shane F. Almeida; Manasi Vartak; Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger (IEEE Trans. Learn. Technol., 2009)

Addressing the assessment challenge with an online system that tutors as it assesses. - Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger (User Model. User Adapt. Interact., 2009)

CTRL: A research framework for providing adaptive collaborative learning support. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (User Model. User Adapt. Interact., 2009)

Integrating Transfer Learning in Synthetic Student. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (AAAI, 2010)

Towards a Computational Model of Why Some Students Learn Faster than Others. - Nan Li 001; Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010)

Designing a pen-based flashcard application to support classroom learning environment. - YoungJoo Jeong; Ananda Gunawardena; Kenneth R. Koedinger (CHI Extended Abstracts, 2010)

A Data Driven Approach to the Discovery of Better Cognitive Models. - Kenneth R. Koedinger; John C. Stamper (EDM, 2010)

Unsupervised Discovery of Student Strategies. - Benjamin Shih; Kenneth R. Koedinger; Richard Scheines (EDM, 2010)

Educational data mining methods for studying student behaviors minute by minute across an entire school year. - Ryan Shaun Joazeiro de Baker; Adriana M. J. B. de Carvalho; Jay Raspat; Vincent Aleven; Albert T. Corbett; Kenneth R. Koedinger; Mihaela Cocea; Arnon Hershkovitz (ICLS, 2010)

Analysis of students' actions during online invention activities - seeing the thinking through the numbers. - Ido Roll; Vincent Aleven; Kenneth R. Koedinger (ICLS, 2010)

Automated adaptive support for peer tutoring in high-school mathematics. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (ICLS, 2010)

Extending the self-explanation effect to second language grammar learning. - Ruth Wylie; Kenneth R. Koedinger; Teruko Mitamura (ICLS (1), 2010)

Using Data Mining Findings to Aid Searching for Better Cognitive Models. - Mingyu Feng; Neil T. Heffernan; Kenneth R. Koedinger (Intelligent Tutoring Systems (2), 2010)

A Computational Model of Accelerated Future Learning through Feature Recognition. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (2), 2010)

Learning by Teaching SimStudent. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (2), 2010)

Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Arthur Tu; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (1), 2010)

The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments. - Ido Roll; Vincent Aleven; Kenneth R. Koedinger (Intelligent Tutoring Systems (1), 2010)

PSLC DataShop: A Data Analysis Service for the Learning Science Community. - John C. Stamper; Kenneth R. Koedinger; Ryan Shaun Joazeiro de Baker; Alida Skogsholm; Brett Leber; Jim Rankin; Sandy Demi (Intelligent Tutoring Systems (2), 2010)

Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring. - Erin Walker; Sean Walker; Nikol Rummel; Kenneth R. Koedinger (Intelligent Tutoring Systems (1), 2010)

Analogies, Explanations, and Practice: Examining How Task Types Affect Second Language Grammar Learning. - Ruth Wylie; Kenneth R. Koedinger; Teruko Mitamura (Intelligent Tutoring Systems (1), 2010)

Learning by Teaching SimStudent - Interactive Event. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (AIED, 2011)

Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (AIED, 2011)

Using Contextual Factors Analysis to Explain Transfer of Least Common Multiple Skills. - Philip I. Pavlik; Michael Yudelson; Kenneth R. Koedinger (AIED, 2011)

Metacognitive Practice Makes Perfect: Improving Students' Self-Assessment Skills with an Intelligent Tutoring System. - Ido Roll; Vincent Aleven; Bruce M. McLaren; Kenneth R. Koedinger (AIED, 2011)

Human-Machine Student Model Discovery and Improvement Using DataShop. - John C. Stamper; Kenneth R. Koedinger (AIED, 2011)

Managing the Educational Dataset Lifecycle with DataShop. - John C. Stamper; Kenneth R. Koedinger; Ryan Shaun Joazeiro de Baker; Alida Skogsholm; Brett Leber; Sandy Demi; Shawnwen Yu; Duncan Spencer (AIED, 2011)

DataShop: A Data Repository and Analysis Service for the Learning Science Community (Interactive Event). - John C. Stamper; Kenneth R. Koedinger; Ryan Shaun Joazeiro de Baker; Alida Skogsholm; Brett Leber; Sandy Demi; Shawnwen Yu; Duncan Spencer (AIED, 2011)

Eliciting Intelligent Novice Behaviors with Grounded Feedback in a Fraction Addition Tutor. - Eliane Stampfer; Yanjin Long; Vincent Aleven; Kenneth R. Koedinger (AIED, 2011)

Using Automated Dialog Analysis to Assess Peer Tutoring and Trigger Effective Support. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (AIED, 2011)

Effects of Adaptive Prompted Self-explanation on Robust Learning of Second Language Grammar. - Ruth Wylie; Melissa Sheng; Teruko Mitamura; Kenneth R. Koedinger (AIED, 2011)

Outcomes and Mechanisms of Transfer in Invention Activities. - Ido Roll; Vincent Aleven; Kenneth R. Koedinger (CogSci, 2011)

Adaptive support for CSCL: Is it feedback relevance or increased student accountability that matters? - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (CSCL, 2011)

Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. - Min Chi; Kenneth R. Koedinger; Geoffrey J. Gordon; Pamela W. Jordan; Kurt VanLehn (EDM, 2011)

Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty. - Sujith M. Gowda; Jonathan P. Rowe; Ryan Shaun Joazeiro de Baker; Min Chi; Kenneth R. Koedinger (EDM, 2011)

Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. - Kenneth R. Koedinger; Philip I. Pavlik Jr.; John C. Stamper; Tristan Nixon; Steven Ritter 001 (EDM, 2011)

A Machine Learning Approach for Automatic Student Model Discovery. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger; Noboru Matsuda (EDM, 2011)

The Simple Location Heuristic is Better at Predicting Students' Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic. - Adaeze Nwaigwe; Kenneth R. Koedinger (EDM, 2011)

Towards Better Understanding of Transfer in Cognitive Models of Practice. - Michael Yudelson; Philip I. Pavlik; Kenneth R. Koedinger (EDM, 2011)

User Modeling - A Notoriously Black Art. - Michael Yudelson; Philip I. Pavlik; Kenneth R. Koedinger (UMAP, 2011)

Designing automated adaptive support to improve student helping behaviors in a peer tutoring activity. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (Int. J. Comput. Support. Collab. Learn., 2011)

Evaluating and improving adaptive educational systems with learning curves. - Brent Martin; Antonija Mitrovic; Kenneth R. Koedinger; Santosh Mathan (User Model. User Adapt. Interact., 2011)

RumbleBlocks: Teaching science concepts to young children through a Unity game. - Michael G. Christel; Scott M. Stevens; Bryan Maher; Sean Brice; Matt Champer; Luke Jayapalan; Qiaosi Chen; Jing Jin; Daniel Hausmann 002; Nora Bastida; Xun Zhang; Vincent Aleven; et al. (CGAMES, 2012)

Shallow learning as a pathway for successful learning both for tutors and tutees. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; William W. Cohen; Gabriel Stylianides; Kenneth R. Koedinger (CogSci, 2012)

Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. - Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger; Victoria Keiser; Rohan Raizada; Evelyn Yarzebinski; Shayna P. Watson; Gabriel Stylianides (DIGITEL, 2012)

Creating Features from a Learned Grammar in a Simulated Student. - Nan Li 001; Abraham Schreiber; William W. Cohen; Kenneth R. Koedinger (ECAI, 2012)

Learner Differences in Hint Processing. - Ilya M. Goldin; Kenneth R. Koedinger; Vincent Aleven (EDM, 2012)

Automated Student Model Improvement. - Kenneth R. Koedinger; Elizabeth A. McLaughlin; John C. Stamper (EDM, 2012)

The Rise of the Super Experiment. - John C. Stamper; Derek Lomas; Dixie Ching; Steven Ritter 001; Kenneth R. Koedinger; Jonathan Steinhart (EDM, 2012)

Integrating perceptual representation learning and skill learning in a simulated student. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ICDL-EPIROB, 2012)

Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives. - Paulo Blikstein; Marcelo Worsley; Bruce Sherin; Ryan Baker 001; Matthew Berland; Taylor Martin; Ido Roll; Vincent Aleven; Ken Koedinger; Arnon Hershkovitz (ICLS, 2012)

The Future of Assessment: Measuring Science Reasoning and Inquiry Skills Using Simulations and Immersive Environments. - Jodi L. Davenport; Edys S. Quellmalz; Jody Clarke-Midura; Chris Dede; Janice D. Gobert; Kenneth R. Koedinger; Marty McCall; Michael J. Timms (ICLS, 2012)

Building a Conversational SimStudent. - Ryan Carlson; Victoria Keiser; Noboru Matsuda; Kenneth R. Koedinger; Carolyn Penstein Rosé (ITS, 2012)

Problem Order Implications for Learning Transfer. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ITS, 2012)

Efficient Cross-Domain Learning of Complex Skills. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ITS, 2012)

The Effects of Adaptive Sequencing Algorithms on Player Engagement within an Online Game. - Derek Lomas; John C. Stamper; Ryan Muller; Kishan Patel; Kenneth R. Koedinger (ITS, 2012)

Motivational Factors for Learning by Teaching - The Effect of a Competitive Game Show in a Virtual peer-Learning Environment. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; Kenneth R. Koedinger (ITS, 2012)

A Canonicalizing Model for Building Programming Tutors. - Kelly Rivers; Kenneth R. Koedinger (ITS, 2012)

Noticing Relevant Feedback Improves Learning in an Intelligent Tutoring System for Peer Tutoring. - Erin Walker; Nikol Rummel; Sean Walker; Kenneth R. Koedinger (ITS, 2012)

Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (ECML/PKDD (2), 2012)

The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning. - Kenneth R. Koedinger; Albert T. Corbett; Charles Perfetti (Cogn. Sci., 2012)

A paradigm for handwriting-based intelligent tutors. - Lisa Anthony; Jie Yang 001; Kenneth R. Koedinger (Int. J. Hum. Comput. Stud., 2012)

Auto-scoring Discovery and Confirmation Bias in Interpreting Data during Science Inquiry in a Microworld. - Janice D. Gobert; Juelaila J. Raziuddin; Kenneth R. Koedinger (AIED, 2013)

Using Data-Driven Discovery of Better Student Models to Improve Student Learning. - Kenneth R. Koedinger; John C. Stamper; Elizabeth A. McLaughlin; Tristan Nixon (AIED, 2013)

Integrating Perceptual Learning with External World Knowledge in a Simulated Student. - Nan Li 001; Yuandong Tian; William W. Cohen; Kenneth R. Koedinger (AIED, 2013)

Toward a reflective SimStudent: Using experience to avoid generalization errors. - Christopher J. MacLellan; Noboru Matsuda; Kenneth R. Koedinger (AIED Workshops, 2013)

Automatic Generation of Programming Feedback; A Data-Driven Approach. - Kelly Rivers; Kenneth R. Koedinger (AIED Workshops, 2013)

Conceptual Scaffolding to Check One's Procedures. - Eliane Stampfer; Kenneth R. Koedinger (AIED, 2013)

Tangible Collaborative Learning with a Mixed-Reality Game: EarthShake. - Nesra Yannier; Kenneth R. Koedinger; Scott E. Hudson (AIED, 2013)

Individualized Bayesian Knowledge Tracing Models. - Michael Yudelson; Kenneth R. Koedinger; Geoffrey J. Gordon (AIED, 2013)

Optimizing challenge in an educational game using large-scale design experiments. - Derek Lomas; Kishan Patel; Jodi Forlizzi; Kenneth R. Koedinger (CHI, 2013)

General and Efficient Cognitive Model Discovery Using a Simulated Student. - Nan Li 001; Eliane Stampfer; William W. Cohen; Kenneth R. Koedinger (CogSci, 2013)

When seeing isn't believing: Influences of prior conceptions and misconceptions. - Eliane Stampfer; Kenneth R. Koedinger (CogSci, 2013)

Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice. - Joseph Jay Williams; Alexander Renkl; Kenneth R. Koedinger; John C. Stamper (CogSci, 2013)

Knowledge tracing and cue contrast: Second language English grammar instruction. - Helen Zhao 002; Kenneth R. Koedinger; John Kowalski (CogSci, 2013)

Hints: You Can't Have Just One. - Ilya M. Goldin; Kenneth R. Koedinger; Vincent Aleven (EDM, 2013)

Investigating the Solution Space of an Open-Ended Educational Game Using Conceptual Feature Extraction. - Erik Harpstead; Christopher J. MacLellan; Kenneth R. Koedinger; Vincent Aleven; Steven P. Dow; Brad A. Myers (EDM, 2013)

Discovering Student Models with a Clustering Algorithm Using Problem Content. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (EDM, 2013)

A Comparison of Model Selection Metrics in DataShop. - John C. Stamper; Kenneth R. Koedinger; Elizabeth A. McLaughlin (EDM, 2013)

Estimating the benefits of student model improvements on a substantive scale. - Michael Yudelson; Kenneth R. Koedinger (EDM, 2013)

Beanstalk: A unity game addressing balance principles, socio-emotional learning and scientific inquiry. - Michael G. Christel; Scott M. Stevens; Matt Champer; John Balash; Sean Brice; Bryan Maher; Danny Hausmann 002; Nora Bastida; Chandana Bhargava; Weiwei Huo; Xun Zhang; Samantha Collier; et al. (IGIC, 2013)

Creating an educational robot by embedding a learning agent in the physical world (abstract only). - Nan Li 001; Apoorv Khandelwal 002; Tung Phan; David S. Touretzky; William W. Cohen; Kenneth R. Koedinger (SIGCSE, 2013)

Problem Order Implications for Learning. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2013)

Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel J. Stylianides; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2013)

New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization. - Kenneth R. Koedinger; Emma Brunskill; Ryan Shaun Joazeiro de Baker; Elizabeth A. McLaughlin; John C. Stamper (AI Mag., 2013)

LearnLab's DataShop: A Data Repository and Analytics Tool Set for Cognitive Science. - Kenneth R. Koedinger; John C. Stamper; Brett Leber; Alida Skogsholm (Top. Cogn. Sci., 2013)

Investigating Scaffolds for Sense Making in Fraction Addition and Comparison. - Eliane Wiese; Kenneth R. Koedinger (CogSci, 2014)

Different parameters - same prediction: An analysis of learning curves. - Tanja Käser; Kenneth R. Koedinger; Markus H. Gross (EDM, 2014)

Interpreting model discovery and testing generalization to a new dataset. - Ran Liu 008; Elizabeth A. McLaughlin; Kenneth R. Koedinger (EDM, 2014)

Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. - Benjamin S. Goldberg; Robert A. Sottilare; Ido Roll; Susanne P. Lajoie; Eric G. Poitras; Gautam Biswas; James René Segedy; John S. Kinnebrew; Elaine Stampfer Wiese; Yanjin Long; Vincent Aleven; Kenneth R. Koedinger; et al. (ICLS, 2014)

Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality. - Christopher J. MacLellan; Kenneth R. Koedinger; Noboru Matsuda (Intelligent Tutoring Systems, 2014)

Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. - Noboru Matsuda; Cassondra L. Griger; Nikolaos Barbalios; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2014)

Automating Hint Generation with Solution Space Path Construction. - Kelly Rivers; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2014)

Toward Sense Making with Grounded Feedback. - Eliane Stampfer Wiese; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2014)

Adaptive Intelligent Support to Improve Peer Tutoring in Algebra. - Erin Walker; Nikol Rummel; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2014)

Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium). - Kenneth R. Koedinger; Elizabeth A. McLaughlin; John C. Stamper (Ubiquity, 2014)

Methods for Evaluating Simulated Learners: Examples from SimStudent. - Kenneth R. Koedinger; Noboru Matsuda; Christopher J. MacLellan; Elizabeth A. McLaughlin (AIED Workshops, 2015)

Authoring Tutors with Complex Solutions: A Comparative Analysis of Example Tracing and SimStudent. - Christopher J. MacLellan; Erik Harpstead; Eliane Stampfer Wiese; Mengfan Zou; Noboru Matsuda; Vincent Aleven; Kenneth R. Koedinger (AIED Workshops, 2015)

Learning from Mixed-Reality Games: Is Shaking a Tablet as Effective as Physical Observation? - Nesra Yannier; Kenneth R. Koedinger; Scott E. Hudson (CHI, 2015)

Expertise in Cognitive Task Analysis Interviews. - Danny Koh; Kenneth R. Koedinger; Carolyn P. Rosé; David F. Feldon (CogSci, 2015)

Does Learning Magnitude Knowledge help Students Learn Procedural Knowledge or Vice Versa? - Rony Patel; Kenneth R. Koedinger (CogSci, 2015)

Transitivity is Not Obvious: Probing Prerequisites for Learning. - Eliane Wiese; Rony Patel; Jennifer K. Olsen 001; Kenneth R. Koedinger (CogSci, 2015)

Spectral Bayesian Knowledge Tracing. - Mohammad Hassan Falakmasir; Michael Yudelson; Steven Ritter 001; Kenneth R. Koedinger (EDM, 2015)

Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. - Ran Liu 008; Kenneth R. Koedinger (EDM, 2015)

Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. - Christopher J. MacLellan; Ran Liu 008; Kenneth R. Koedinger (EDM, 2015)

Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains. - Xu Wang 016; Diyi Yang; Miaomiao Wen; Kenneth R. Koedinger; Carolyn P. Rosé (EDM, 2015)

Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC. - Kenneth R. Koedinger; Jihee Kim; Julianna Zhuxin Jia; Elizabeth A. McLaughlin; Norman L. Bier (L@S, 2015)

Integrating representation learning and skill learning in a human-like intelligent agent. - Nan Li 001; Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (Artif. Intell., 2015)

Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. - Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2015)

A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes. - Philip I. Pavlik; Michael Yudelson; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2015)

Monster Mischief: Designing a Video Game to Assess Selective Sustained Attention. - Karrie E. Godwin; Derek Lomas; Kenneth R. Koedinger; Anna V. Fisher (Int. J. Gaming Comput. Mediat. Simulations, 2015)

Interface Design Optimization as a Multi-Armed Bandit Problem. - James Derek Lomas; Jodi Forlizzi; Nikhil Poonwala; Nirmal Patel; Sharan Shodhan; Kishan Patel; Kenneth R. Koedinger; Emma Brunskill (CHI, 2016)

When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. - Rony Patel; Ran Liu 008; Kenneth R. Koedinger (CogSci, 2016)

Benefits for Grounded Feedback over Correctness in a Fraction Addition Tutor. - Eliane Wiese; Rony Patel; Kenneth R. Koedinger (CogSci, 2016)

Why Sense-Making through Magnitude May Be Harder for Fractions than for Whole Numbers. - Eliane Wiese; Rony Patel; Kenneth R. Koedinger (CogSci, 2016)

Data-driven Automated Induction of Prerequisite Structure Graphs. - Devendra Singh Chaplot; Yiming Yang; Jaime G. Carbonell; Kenneth R. Koedinger (EDM, 2016)

Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. - Nicholas Diana; Michael Eagle; John C. Stamper; Kenneth R. Koedinger (EDM, 2016)

Closing the Loop with Quantitative Cognitive Task Analysis. - Kenneth R. Koedinger; Elizabeth A. McLaughlin (EDM, 2016)

The Apprentice Learner architecture: Closing the loop between learning theory and educational data. - Christopher J. MacLellan; Erik Harpstead; Rony Patel; Kenneth R. Koedinger (EDM, 2016)

Learning Curve Analysis for Programming: Which Concepts do Students Struggle With? - Kelly Rivers; Erik Harpstead; Kenneth R. Koedinger (ICER, 2016)

Tell Me How to Teach, I'll Learn How to Solve Problems. - Noboru Matsuda; Nikolaos Barbalios; Zhengzheng Zhao; Anya Ramamurthy; Gabriel J. Stylianides; Kenneth R. Koedinger (ITS, 2016)

Is the doer effect a causal relationship?: how can we tell and why it's important. - Kenneth R. Koedinger; Elizabeth A. McLaughlin; Julianna Zhuxin Jia; Norman L. Bier (LAK, 2016)

Modeling common misconceptions in learning process data. - Ran Liu 008; Rony Patel; Kenneth R. Koedinger (LAK, 2016)

Practical Learning Research at Scale. - Ken Koedinger (L@S, 2016)

Browser Language Preferences as a Metric for Identifying ESL Speakers in MOOCs. - Judith Uchidiuno; Amy Ogan; Kenneth R. Koedinger; Evelyn Yarzebinski; Jessica Hammer (L@S, 2016)

Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers. - Vincent Aleven; Bruce M. McLaren; Jonathan Sewall; Martin Van Velsen; Octav Popescu; Sandra Demi; Michael A. Ringenberg; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2016)

Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. - Vincent Aleven; Ido Roll; Bruce M. McLaren; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2016)

An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City". - Kenneth R. Koedinger; Vincent Aleven (Int. J. Artif. Intell. Educ., 2016)

Adding Physical Objects to an Interactive Game Improves Learning and Enjoyment: Evidence from EarthShake. - Nesra Yannier; Scott E. Hudson; Eliane Stampfer Wiese; Kenneth R. Koedinger (ACM Trans. Comput. Hum. Interact., 2016)

Testing Theories of Transfer Using Error Rate Learning Curves. - Kenneth R. Koedinger; Michael Yudelson; Philip I. Pavlik Jr. (Top. Cogn. Sci., 2016)

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. - Nicholas Diana; Michael Eagle; John C. Stamper; Kenneth R. Koedinger (AIED, 2017)

Is Difficulty Overrated?: The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games. - James Derek Lomas; Kenneth R. Koedinger; Nirmal Patel; Sharan Shodhan; Nikhil Poonwala; Jodi L. Forlizzi (CHI, 2017)

Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes. - Paulo F. Carvalho; Elizabeth A. McLaughlin; Ken Koedinger (CogSci, 2017)

Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. - Nicholas Diana; John C. Stamper; Kenneth R. Koedinger (EDM, 2017)

Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. - Ran Liu 008; Kenneth R. Koedinger (EDM, 2017)

Towards reliable and valid measurement of individualized student parameters. - Ran Liu 008; Kenneth R. Koedinger (EDM, 2017)

Sharing and Reusing Data and Analytic Methods with LearnSphere. - Ran Liu 008; Kenneth R. Koedinger; John C. Stamper; Philip I. Pavlik Jr. (EDM, 2017)

Community based educational data repositories and analysis tools. - Ken Koedinger; Ran Liu 008; John C. Stamper; Candace Thille; Phil Pavlik (LAK, 2017)

Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems. - Steven Dang; Michael Yudelson; Kenneth R. Koedinger (L@S, 2017)

Characterizing ELL Students' Behavior During MOOC Videos Using Content Type. - Judith Uchidiuno; Jessica Hammer; Evelyn Yarzebinski; Kenneth R. Koedinger; Amy Ogan (L@S, 2017)

Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor. - Kelly Rivers; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2017)

Designing Grounded Feedback: Criteria for Using Linked Representations to Support Learning of Abstract Symbols. - Eliane Stampfer Wiese; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2017)

Towards Natural Cognitive System Training Interactions: A Preliminary Framework. - Erik Harpstead; Christopher J. MacLellan; Robert P. Marinier; Kenneth R. Koedinger (AAAI Spring Symposia, 2018)

Learning Cognitive Models Using Neural Networks. - Devendra Singh Chaplot; Christopher MacLellan; Ruslan Salakhutdinov; Kenneth R. Koedinger (AIED (1), 2018)

An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. - Nicholas Diana; John C. Stamper; Ken Koedinger (AIED (1), 2018)

Not all Active Learning is Equal: Predicting and Explaining Improves Transfer Relative to Answering Practice Questions. - Paulo F. Carvalho; Kody Manke; Ken Koedinger (CogSci, 2018)

Designing Appropriate Learning Technologies for School vs Home Settings in Tanzanian Rural Villages. - Judith Uchidiuno; Evelyn Yarzebinski; Michael A. Madaio; Nupur Maheshwari; Ken Koedinger; Amy Ogan (COMPASS, 2018)

Analyzing the relative learning benefits of completing required activities and optional readings in online courses. - Paulo F. Carvalho; Min Gao; Benjamin A. Motz; Ken Koedinger (EDM, 2018)

Is the Doer Effect Robust Across Multiple Data Sets? - Kenneth R. Koedinger; Richard Scheines; Peter Schaldenbrand (EDM, 2018)

CS Education Infrastructure for All: Interoperability for Tools and Data Analytics (Abstract Only). - Clifford A. Shaffer; Peter Brusilovsky; Kenneth R. Koedinger; Stephen H. Edwards (SIGCSE, 2018)

How Do English Language Learners Interact with Different Content Types in MOOC Videos? - Judith Uchidiuno; Ken Koedinger; Jessica Hammer; Evelyn Yarzebinski; Amy Ogan (Int. J. Artif. Intell. Educ., 2018)

Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning. - Nicholas Diana; John C. Stamper; Kenneth R. Koedinger (AIED (2), 2019)

Predicting Bias in the Evaluation of Unlabeled Political Arguments. - Nicholas Diana; John C. Stamper; Ken Koedinger (CogSci, 2019)

What are you talking about?: A Cognitive Task Analysis of how specificity in communication facilitates shared perspective in a confusing collaboration task. - Yugo Hayashi; Ken Koedinger (CogSci, 2019)

The Effectiveness of Publicly vs. Privately Assigned Group Leaders Among Learners in Rural Villages in Tanzania. - Judith Uchidiuno; Evelyn Yarzebinski; Emilio Vargas-Vite; Ken Koedinger; Amy Ogan (CSCL, 2019)

Learning from african classroom pedagogy to increase student engagement in education technologies. - Judith Uchidiuno; Evelyn Yarzebinski; Emily Keebler; Kenneth R. Koedinger; Amy Ogan (COMPASS, 2019)

Exploring the Link Between Motivations and Gaming. - Steven Dang; Ken Koedinger (EDM, 2019)

Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning. - Daniel Weitekamp III; Erik Harpstead; Christopher J. MacLellan; Napol Rachatasumrit; Kenneth R. Koedinger (EDM, 2019)

Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs. - Khushboo Thaker; Paulo Carvalho 004; Kenneth R. Koedinger (LAK, 2019)

UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities. - Xu Wang 016; Srinivasa Teja Talluri; Carolyn P. Rosé; Kenneth R. Koedinger (L@S, 2019)

Explanatory learner models: Why machine learning (alone) is not the answer. - Carolyn P. Rosé; Elizabeth A. McLaughlin; Ran Liu 008; Kenneth R. Koedinger (Br. J. Educ. Technol., 2019)

A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems. - Yun Huang 002; Vincent Aleven; Elizabeth A. McLaughlin; Kenneth R. Koedinger (AIED (2), 2020)

Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software. - J. Elizabeth Richey; Nikki G. Lobczowski; Paulo F. Carvalho; Kenneth R. Koedinger (AIED (1), 2020)

Investigating Differential Error Types Between Human and Simulated Learners. - Daniel Weitekamp III; Zihuiwen Ye; Napol Rachatasumrit; Erik Harpstead; Kenneth R. Koedinger (AIED (1), 2020)

Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks. - Nicholas Diana; John C. Stamper; Ken Koedinger (CHI, 2020)

An Interaction Design for Machine Teaching to Develop AI Tutors. - Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger (CHI, 2020)

Persuasion Invasion: Reducing Bias with Value-Adaptive Instruction. - Nicholas Diana; Jessica Hammer; John C. Stamper; Kenneth R. Koedinger (CHI PLAY (Companion), 2020)

The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation. - Steven Dang; Kenneth R. Koedinger (EDM, 2020)

Practice-Based Teacher Education With ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. - Xu Wang 016; Meredith M. Thompson; Kexin Yang; Dan Roy; Kenneth R. Koedinger; Carolyn Penstein Rosé; Justin Reich (ICLS, 2020)

Building an Infrastructure for Computer Science Education Research and Practice at Scale. - Peter Brusilovsky; Ken Koedinger; David A. Joyner; Thomas W. Price (L@S, 2020)

Active Learning is About More Than Hands-On: A Mixed-Reality AI System to Support STEM Education. - Nesra Yannier; Scott E. Hudson; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2020)

Computer-Supported Human Mentoring for Personalized and Equitable Math Learning. - Peter Schaldenbrand; Nikki G. Lobczowski; J. Elizabeth Richey; Shivang Gupta; Elizabeth A. McLaughlin; Adetunji Adeniran; Kenneth R. Koedinger (AIED (2), 2021)

Toward Stable Asymptotic Learning with Simulated Learners. - Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger (AIED (2), 2021)

Seeing Beyond Expert Blind Spots: Online Learning Design for Scale and Quality. - Xu Wang 016; Carolyn P. Rosé; Ken Koedinger (CHI, 2021)

Fostering Equitable Help-Seeking for K-3 Students in Low Income and Rural Contexts. - Judith Odili Uchidiuno; Jessica Hammer; Ken Koedinger; Amy Ogan (CHI, 2021)

Teacher Perspectives on Peer-Peer Collaboration and Education Technologies in Rural Tanzanian Classrooms. - Judith Uchidiuno; Ken Koedinger; Amy Ogan (COMPASS, 2021)

Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice. - Napol Rachatasumrit; Kenneth R. Koedinger (EDM, 2021)

A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. - Yun Huang 002; Nikki G. Lobczowski; J. Elizabeth Richey; Elizabeth A. McLaughlin; Michael W. Asher; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (LAK, 2021)

Decomposed Inductive Procedure Learning. - Daniel Weitekamp III; Christopher MacLellan; Erik Harpstead; Kenneth R. Koedinger (CoRR, 2021)

Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge. - Xu Wang 016; Meredith M. Thompson; Kexin Yang; Dan Roy; Kenneth R. Koedinger; Carolyn P. Rosé; Justin Reich (Proc. ACM Hum. Comput. Interact., 2021)

Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation. - Danielle R. Chine; Cassandra Brentley; Carmen Thomas-Browne; J. Elizabeth Richey; Abdulmenaf Gul; Paulo F. Carvalho; Lee G. Branstetter; Kenneth R. Koedinger (AIED (1), 2022)

Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. - Nicholas Diana; John C. Stamper; Ken Koedinger; Jessica Hammer (AIED (1), 2022)

Adaptive Empathy Learning Support in Peer Review Scenarios. - Thiemo Wambsganss; Matthias Söllner 001; Kenneth R. Koedinger; Jan Marco Leimeister (CHI, 2022)

Learning depends on knowledge: The benefits of retrieval practice vary for facts and skills. - Paulo Carvalho 004; Napol Rachatasumrit; Kenneth R. Koedinger (CogSci, 2022)

Item Response Theory-Based Gaming Detection. - Yun Huang 002; 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 (EDM, 2022)

Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. - Danielle R. Chine; Pallavi Chhabra; Adetunji Adeniran; Shivang Gupta; Kenneth R. Koedinger (L@S, 2022)

Ethics of AI in Education: Towards a Community-Wide Framework. - 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 (Int. J. Artif. Intell. Educ., 2022)

Domain-General Tutor Authoring with Apprentice Learner Models. - Christopher J. MacLellan; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2022)

Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. - Thiemo Wambsganss; Naim Zierau; Matthias Söllner 001; Tanja Käser; Kenneth R. Koedinger; Jan Marco Leimeister (Proc. ACM Hum. Comput. Interact., 2022)

Towards the Future of AI-Augmented Human Tutoring in Math Learning. - Vincent Aleven; Richard G. Baraniuk; Emma Brunskill; Scott A. Crossley; Dora Demszky; Stephen Fancsali; Shivang Gupta; Kenneth R. Koedinger; Chris Piech; Steven Ritter 001; Danielle R. Thomas; Simon Woodhead 002; et al. (AIED (Posters/Late Breaking Results/...), 2023)

Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. - Dollaya Hirunyasiri; Danielle R. Thomas; Jionghao Lin; Kenneth R. Koedinger; Vincent Aleven (Human-AI Math Tutoring@AIED, 2023)

Using Large Language Models to Provide Explanatory Feedback to Human Tutors. - Jionghao Lin; Danielle R. Thomas; Feifei Han; Shivang Gupta; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (Human-AI Math Tutoring@AIED, 2023)

Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. - Qianou Christina Ma; Sherry Tongshuang Wu; Ken Koedinger (LLM@AIED, 2023)

Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples. - Napol Rachatasumrit; Paulo F. Carvalho; Sophie Li; Kenneth R. Koedinger (AIED, 2023)

Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons. - Danielle R. Thomas; Shivang Gupta; Kenneth R. Koedinger (AIED (Posters/Late Breaking Results/...), 2023)

Computational Models of Learning: Deepening Care and Carefulness in AI in Education. - Daniel Weitekamp III; Kenneth R. Koedinger (AIED (Posters/Late Breaking Results/...), 2023)

Simulating Learning from Language and Examples. - Daniel Weitekamp III; Napol Rachatasumrit; Rachael Wei; Erik Harpstead; Kenneth R. Koedinger (AIED (Posters/Late Breaking Results/...), 2023)

What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring. - Conrad Borchers; Paulo F. Carvalho; Meng Xia 002; Pinyang Liu; Kenneth R. Koedinger; Vincent Aleven (EC-TEL, 2023)

When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors. - Danielle Thomas; Xinyu Yang; Shivang Gupta; Adetunji Adeniran; Elizabeth A. McLaughlin; Kenneth R. Koedinger (LAK, 2023)

Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. - Dollaya Hirunyasiri; Danielle R. Thomas; Jionghao Lin; Kenneth R. Koedinger; Vincent Aleven (CoRR, 2023)

HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. - Qianou Ma; Hua Shen 005; Kenneth R. Koedinger; Tongshuang Wu (CoRR, 2023)

Supporting skill integration in an intelligent tutoring system for code tracing. - Yun Huang 002; Peter Brusilovsky; Julio Guerra 001; Kenneth R. Koedinger; Christian Schunn (J. Comput. Assist. Learn., 2023)

Using latent variable models to make gaming-the-system detection robust to context variations. - Yun Huang 002; 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 (User Model. User Adapt. Interact., 2023)

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. - Qianou Ma; Hua Shen 005; Kenneth R. Koedinger; Sherry Tongshuang Wu (AIED (1), 2024)

Good Fit Bad Policy: Why Fit Statistics Are a Biased Measure of Knowledge Tracer Quality. - Napol Rachatasumrit; Daniel Weitekamp III; Kenneth R. Koedinger (AIED Companion (2), 2024)

The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities. - Danielle R. Thomas; Erin Gatz; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (AIED (1), 2024)

ActiveAI: The Effectiveness of an Interactive Tutoring System in Developing K-12 AI Literacy. - Ying-Jui Tseng; Gautam Yadav; Xinying Hou; Muzhe Wu; Yun-Shuo Chou; Claire Che Chen; Chia-Chia Wu; Shi-Gang Chen; Yi-Jo Lin; Guan-Ze Liao; Kenneth R. Koedinger (EC-TEL (1), 2024)

8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Yang Shi 004; Peter Brusilovsky; Bita Akram; Thomas W. Price; Juho Leinonen 001; Kenneth R. Koedinger; Andrew S. Lan (EDM, 2024)

Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? - Conrad Borchers; Kexin Yang; Jionghao Lin; Nikol Rummel; Kenneth R. Koedinger; Vincent Aleven (EDM, 2024)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zifei FeiFei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (EDM, 2024)

Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining. - Napol Rachatasumrit; Paulo Carvalho 004; Kenneth R. Koedinger (EDM, 2024)

Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract). - Napol Rachatasumrit; Paulo F. Carvalho; Sophie Li; Kenneth R. Koedinger (IJCAI, 2024)

Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. - 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 (LAK, 2024)

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. - Eason Chen; Jia-En Lee; Jionghao Lin; Kenneth R. Koedinger (L@S, 2024)

MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. - Jionghao Lin; Eason Chen; Ashish Gurung; Kenneth R. Koedinger (L@S, 2024)

HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. - Jionghao Lin; Kenneth R. Koedinger (L@S, 2024)

Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. - Wode Ni; Sam Estep; Hwei-Shin Harriman; Kenneth R. Koedinger; Joshua Sunshine (L@S, 2024)

Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. - Danielle R. Thomas; Jionghao Lin; Shambhavi Bhushan; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (L@S, 2024)

Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. - Gautam Yadav; Paulo F. Carvalho; Elizabeth A. McLaughlin; Kenneth R. Koedinger (L@S, 2024)

Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. - Clifford A. Shaffer; Peter Brusilovsky; Ken Koedinger; Thomas W. Price; Tiffany Barnes; Behrooz Mostafavi (SIGCSE (2), 2024)

Navigating Ethical Benefits and Risks as AIED Comes of Age. - Ken Koedinger (Int. J. Artif. Intell. Educ., 2024)

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. - Sanjit Kakarla; Danielle Thomas; Jionghao Lin; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2024)

Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. - Zifei FeiFei Han; Jionghao Lin; Ashish Gurung; Danielle R. Thomas; Eason Chen; Conrad Borchers; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2024)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zeifei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (CoRR, 2024)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei FeiFei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2024)

STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning. - Daniel Weitekamp III; Kenneth R. Koedinger (CoRR, 2024)

What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs. - Qianou Ma; Weirui Peng; Hua Shen 005; Kenneth R. Koedinger; Tongshuang Wu (CoRR, 2024)

TRESTLE: A Model of Concept Formation in Structured Domains. - Christopher J. MacLellan; Erik Harpstead; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2024)

AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent. - Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger (CoRR, 2024)

ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale. - Ruiwei Xiao; Ying-Jui Tseng; Hanqi Li; Hsuan Nieu; Guan-Ze Liao; John C. Stamper; Kenneth R. Koedinger (CoRR, 2024)

AI Adaptivity in a Mixed-Reality System Improves Learning. - Nesra Yannier; Scott E. Hudson; Henry Chang; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2024)

Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring. - Conrad Borchers; Alex Houk; Vincent Aleven; Kenneth R. Koedinger (AIED (4), 2025)

Involving Parents in Tutoring Systems to Increase Content Confidence: A Design Probe Study. - Conrad Borchers; Ha Tien Nguyen; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven (AIED (6), 2025)

Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study. - Conrad Borchers; Cindy Peng; Qianru Lyu; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven (AIED (5), 2025)

From First Draft to Final Insight: A Multi-agent Approach for Feedback Generation. - Jie Cao; Chloe Qianhui Zhao; Xian Chen; Shuman Wang; Christian Schunn; Kenneth R. Koedinger; Jionghao Lin (AIED (2), 2025)

Identifying Effective Praise in Tutoring: Large Language Models with Transparent Explanations. - Eason Chen; Jeffrey Li; Scarlett Huang; Xinyi Tang; Jionghao Lin; Paulo Carvalho 004; Kenneth R. Koedinger (AIED (6), 2025)

Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes. - Ashish Gurung; Jionghao Lin; Jordan Gutterman; Danielle R. Thomas; Alex Houk; Shivang Gupta; Emma Brunskill; Lee G. Branstetter; Vincent Aleven; Kenneth R. Koedinger (AIED (4), 2025)

Improving Open-Response Assessment with LearnLM. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Sanjit Kakarla; Alex Houk; Ralph Abboud; Shivang Gupta; Erin Gatz; Kenneth R. Koedinger (AIED (5), 2025)

SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions. - Chloe Qianhui Zhao; Jie Cao; Eason Chen; Kenneth R. Koedinger; Jionghao Lin (AIED (4), 2025)

Detecting LLM-Generated Short Answers and Effects on Learner Performance. - Shambhavi Bhushan; Danielle R. Thomas; Conrad Borchers; Isha Raghuvanshi; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (EC-TE (1), 2025)

Goal Setting Engages More Caregivers in Online Math Homework than Instructional Support. - Conrad Borchers; Ha Tien Nguyen; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven (EC-TE (1), 2025)

Automatic Large Language Models Creation of Interactive Learning Lessons. - Jionghao Lin; Jiarui Rao; Sandy Yiyang Zhao; Yuting Wang; Ashish Gurung; Amanda Barany; Jaclyn Ocumpaugh; Ryan S. Baker 001; Kenneth R. Koedinger (EC-TE (1), 2025)

LLM-Generated Feedback Supports Learning if Learners Choose to Use it. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (EC-TE (1), 2025)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. - Danielle R. Thomas; Conrad Borchers; Jionghao Lin; Sanjit Kakarla; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Ralph Abboud; Kenneth R. Koedinger (EC-TEL (2), 2025)

9th Educational Data Mining in Computer Science Education (CSEDM) Workshop. - Bita Akram; Yang Shi 004; Peter Brusilovsky; Thomas W. Price; Ken Koedinger; Paulo Carvalho 004; Shan Zhang 003; Andrew S. Lan; Juho Leinonen 001 (EDM, 2025)

Starting Seatwork Earlier as a Valid Measure of Student Engagement. - Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan Baker 001; Vincent Aleven; Kenneth R. Koedinger (EDM, 2025)

Toward Automated Qualitative Analysis: Leveraging Large Language Models for Tutoring Dialogue Evaluation. - Megan Gu; Chloe Qianhui Zhao; Claire Liu; Nikhil Patel; Jahnvi Shah; Jionghao Lin; Kenneth R. Koedinger (LAK Workshops, 2025)

Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. - Danielle R. Thomas; Conrad Borchers; Sanjit Kakarla; Jionghao Lin; Shambhavi Bhushan; Boyuan Guo; Erin Gatz; Kenneth R. Koedinger (LAK, 2025)

Do Tutors Learn from Equity Training and Can Generative AI Assess It? - Danielle R. Thomas; Conrad Borchers; Sanjit Kakarla; Jionghao Lin; Shambhavi Bhushan; Boyuan Guo; Erin Gatz; Kenneth R. Koedinger (LAK, 2025)

Improving Students' Argumentation Skills Using Dynamic Machine-Learning-Based Modeling. - Thiemo Wambsganss; Andreas Janson; Matthias Söllner 001; Ken Koedinger; Jan Marco Leimeister (Inf. Syst. Res., 2025)

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training. - Sanjit Kakarla; Conrad Borchers; Danielle Thomas; Shambhavi Bhushan; Kenneth R. Koedinger (CoRR, 2025)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. - Conrad Borchers; Danielle R. Thomas; Jionghao Lin; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)

Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation. - Chentianye Xu; Jionghao Lin; Tongshuang Wu; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2025)

VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output. - Eason Chen; Chenyu Lin; Xinyi Tang; Aprille J. Xi; Canwen Wang; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop. - Vincent Aleven; Conrad Borchers; Yun Huang 002; Tomohiro Nagashima; Bruce M. McLaren; Paulo Carvalho 004; Octav Popescu; Jonathan Sewall; Kenneth R. Koedinger (CoRR, 2025)

VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback. - Eason Chen; Chenyu Lin; Yu-Kai Huang; Xinyi Tang; Aprille J. Xi; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections. - Eason Chen; Xinyi Tang; Aprille J. Xi; Chenyu Lin; Conrad Borchers; Shivang Gupta; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. - Jiayi Wang; Ruiwei Xiao; Xinying Hou; Hanqi Li; Ying-Jui Tseng; John C. Stamper; Ken Koedinger (CoRR, 2025)

Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency. - Daniel Weitekamp III; Christopher MacLellan; Erik Harpstead; Kenneth R. Koedinger (CoRR, 2025)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2025)

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing. - Thiemo Wambsganss; Ivo Benke; Alexander Maedche; Kenneth R. Koedinger; Tanja Käser (Int. J. Artif. Intell. Educ., 2025)

Automatic Large Language Models Creation of Interactive Learning Lessons. - Jionghao Lin; Jiarui Rao; Yiyang Zhao; Yuting Wang; Ashish Gurung; Amanda Barany; Jaclyn Ocumpaugh; Ryan S. Baker 001; Kenneth R. Koedinger (CoRR, 2025)

Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation. - Danielle R. Thomas; Conrad Borchers; Kenneth R. Koedinger (CoRR, 2025)

Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students? - Ruiwei Xiao; Xinying Hou; Ying-Jui Tseng; Hsuan Nieu; Guan-Ze Liao; John C. Stamper; Kenneth R. Koedinger (CoRR, 2025)

What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use. - Qianou Ma; Weirui Peng; Chenyang Yang 002; Hua Shen 005; Ken Koedinger; Tongshuang Wu (ACM Trans. Comput. Hum. Interact., 2025)