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Kenneth R. Koedinger: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Lisa Anthony, Jie Yang, Kenneth R. Koedinger
    Evaluation of multimodal input for entering mathematical equations on the computer. [Citation Graph (0, 0)][DBLP]
    CHI Extended Abstracts, 2005, pp:1184-1187 [Conf]
  2. Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner
    Off-task behavior in the cognitive tutor classroom: when students "game the system". [Citation Graph (0, 0)][DBLP]
    CHI, 2004, pp:383-390 [Conf]
  3. Aaron Bauer, Kenneth R. Koedinger
    Evaluating the effect of technology on note-taking and learning. [Citation Graph (0, 0)][DBLP]
    CHI Extended Abstracts, 2006, pp:520-525 [Conf]
  4. Bonnie E. John, Konstantine C. Prevas, Dario D. Salvucci, Kenneth R. Koedinger
    Predictive human performance modeling made easy. [Citation Graph (0, 0)][DBLP]
    CHI, 2004, pp:455-462 [Conf]
  5. Aaron Bauer, Kenneth R. Koedinger
    Selection-based note-taking applications. [Citation Graph (0, 0)][DBLP]
    CHI, 2007, pp:981-990 [Conf]
  6. Neil T. Heffernan, Terrence E. Turner, Abraao L. N. Lourenco, Michael A. Macasek, Goss Nuzzo-Jones, Kenneth R. Koedinger
    The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS Creation. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:515-520 [Conf]
  7. Scott M. Stevens, Albert T. Corbett, Kenneth R. Koedinger, Angela Z. Wagner, Chih-Yu Chao, Harry Ulrich, Sharon Lesgold
    ALPS: Bringing Active Inquiry into Active Problem Solving. [Citation Graph (0, 0)][DBLP]
    CELDA, 2004, pp:543-544 [Conf]
  8. Aaron Bauer, Kenneth R. Koedinger
    Pasting and Encoding: Note-Taking in Online Courses. [Citation Graph (0, 0)][DBLP]
    ICALT, 2006, pp:789-793 [Conf]
  9. Bruce M. McLaren, Kenneth R. Koedinger, Mike Schneider, Andreas Harrer, Lars Bollen
    Toward Cognitive Tutoring in a Collaborative, Web-Based Environment. [Citation Graph (0, 0)][DBLP]
    ICWE Workshops, 2004, pp:167-179 [Conf]
  10. Vincent Aleven, Kenneth R. Koedinger
    Limitations of Student Control: Do Students Know When They Need Help? [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2000, pp:292-303 [Conf]
  11. Vincent Aleven, Kenneth R. Koedinger, H. Colleen Sinclair, Jaclyn Snyder
    combatting Shallow Learning in a Tutor for Geometry Problem Solving. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 1998, pp:364-373 [Conf]
  12. Vincent Aleven, Bruce M. McLaren, Ido Roll, Kenneth R. Koedinger
    Toward Tutoring Help Seeking: Applying Cognitive Modeling to Meta-cognitive Skills. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:227-239 [Conf]
  13. Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Kenneth R. Koedinger
    The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:61-70 [Conf]
  14. Vincent Aleven, Amy Ogan, Octav Popescu, Cristen Torrey, Kenneth R. Koedinger
    Evaluating the Effectiveness of a Tutorial Dialogue System for Self-Explanation. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:443-454 [Conf]
  15. Vincent Aleven, Octav Popescu, Kenneth R. Koedinger
    Pilot-Testing a Tutorial Dialogue System That Supports Self-Explanation. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2002, pp:344-354 [Conf]
  16. Lisa Anthony, Albert T. Corbett, Angela Z. Wagner, Scott M. Stevens, Kenneth R. Koedinger
    Student Question-Asking Patterns in an Intelligent Algebra Tutor. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:455-467 [Conf]
  17. Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger
    Detecting Student Misuse of Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:531-540 [Conf]
  18. Ryan S. J. d. Baker, Albert T. Corbett, Kenneth R. Koedinger, Shelley Evenson, Ido Roll, Angela Z. Wagner, Meghan Naim, Jay Raspat, Daniel J. Baker, Joseph E. Beck
    Adapting to When Students Game an Intelligent Tutoring System. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:392-401 [Conf]
  19. Ryan S. J. d. Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll
    Generalizing Detection of Gaming the System Across a Tutoring Curriculum. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:402-411 [Conf]
  20. Ryan Shaun Baker, Angela Z. Wagner, Albert T. Corbett, Kenneth R. Koedinger
    The Social Role of Technical Personnel in the Deployment of Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:785-787 [Conf]
  21. Hao Cen, Kenneth R. Koedinger, Brian Junker
    Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:164-175 [Conf]
  22. Ethan A. Croteau, Neil T. Heffernan, Kenneth R. Koedinger
    Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive Model. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:240-250 [Conf]
  23. Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
    Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:31-40 [Conf]
  24. Neil T. Heffernan, Kenneth R. Koedinger
    An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2002, pp:596-608 [Conf]
  25. Bruce M. McLaren, Sung-Joo Lim, France Gagnon, David Yaron, Kenneth R. Koedinger
    Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:318-328 [Conf]
  26. 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, Pamela W. Jordan, Diane J. Litman, Evelyn Lulis, Helen Pain, Carolyn Penstein Rosé, Beverly Park Woolf, Claus Zinn
    Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:914- [Conf]
  27. Benjamin MacLaren, Kenneth R. Koedinger
    When and Why Does Mastery Learning Work: Instructional Experiments with ACT-R "SimStudents". [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2002, pp:355-366 [Conf]
  28. Mary A. Mark, Kenneth R. Koedinger, William S. Hadley
    Elaborating Models of Algebraic Expression-Writing. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 1998, pp:524-533 [Conf]
  29. Kenneth R. Koedinger, Vincent Aleven, Neil T. Heffernan, Bruce M. McLaren, Matthew Hockenberry
    Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:162-174 [Conf]
  30. Kenneth R. Koedinger, Daniel D. Suthers, Kenneth D. Forbus
    Component-Based Construction of a Science Learning Space. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 1998, pp:166-175 [Conf]
  31. Santosh A. Mathan, Kenneth R. Koedinger
    An Empirical Assessment of Comprehension Fostering Features in an Intelligent Tutoring System. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2002, pp:330-343 [Conf]
  32. Ido Roll, Vincent Aleven, Kenneth R. Koedinger
    Promoting Effective Help-Seeking Behavior Through Declarative Instruction. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:857-859 [Conf]
  33. Ido Roll, Vincent Aleven, Bruce M. McLaren, Eunjeong Ryu, Ryan S. J. d. Baker, Kenneth R. Koedinger
    The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning? [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:360-369 [Conf]
  34. Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger
    A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:854-856 [Conf]
  35. Ido Roll, Eunjeong Ryu, Jonathan Sewall, Brett Leber, Bruce M. McLaren, Vincent Aleven, Kenneth R. Koedinger
    Towards Teaching Metacognition: Supporting Spontaneous Self-Assessment. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:738-740 [Conf]
  36. Erin Walker, Kenneth R. Koedinger, Bruce M. McLaren, Nikol Rummel
    Cognitive Tutors as Research Platforms: Extending an Established Tutoring System for Collaborative and Metacognitive Experimentation. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:207-216 [Conf]
  37. Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll
    Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:220-224 [Conf]
  38. Antonija Mitrovic, Kenneth R. Koedinger, Brent Martin
    A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2003, pp:313-322 [Conf]
  39. Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger
    Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:367-376 [Conf]
  40. Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
    Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. [Citation Graph (0, 0)][DBLP]
    WWW, 2006, pp:307-316 [Conf]
  41. Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger
    What Goals Do Students Have When Choosing the Actions They Perform? [Citation Graph (0, 0)][DBLP]
    ICCM, 2004, pp:380-381 [Conf]
  42. Vincent Aleven, Kenneth R. Koedinger
    An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 2002, v:26, n:2, pp:147-179 [Journal]
  43. Lisa A. Haverty, Kenneth R. Koedinger, David Klahr, Martha W. Alibali
    Solving inductive reasoning problems in mathematics: not-so-trivial pursuit. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 2000, v:24, n:2, pp:249-298 [Journal]
  44. Kenneth R. Koedinger, John R. Anderson
    Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 1990, v:14, n:4, pp:511-550 [Journal]
  45. Craig S. Miller, Jill Fain Lehman, Kenneth R. Koedinger
    Goals and learning in microworlds. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 1999, v:23, n:3, pp:305-336 [Journal]
  46. Lisa Anthony, Jie Yang, Kenneth R. Koedinger
    Adapting handwriting recognition for applications in algebra learning. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia EMME Workshop, 2007, pp:47-56 [Conf]
  47. Kurt VanLehn, Kenneth R. Koedinger, Alida Skogsholm, Adaeze Nwaigwe, Robert G. M. Hausmann, Anders Weinstein, Benjamin Billings
    What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2007, pp:455-459 [Conf]
  48. Noboru Matsuda, William W. Cohen, Jonathan Sewall, Gustavo Lacerda, Kenneth R. Koedinger
    Evaluating a Simulated Student Using Real Students Data for Training and Testing. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2007, pp:107-116 [Conf]

  49. Integrating Transfer Learning in Synthetic Student. [Citation Graph (, )][DBLP]


  50. Optimizing Student Models for Causality. [Citation Graph (, )][DBLP]


  51. Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. [Citation Graph (, )][DBLP]


  52. Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring. [Citation Graph (, )][DBLP]


  53. Who Says Three's a Crowd? Using a Cognitive Tutor to Support Peer Tutoring. [Citation Graph (, )][DBLP]


  54. Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining. [Citation Graph (, )][DBLP]


  55. Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems. [Citation Graph (, )][DBLP]


  56. Benefits of Handwritten Input for Students Learning Algebra Equation Solving. [Citation Graph (, )][DBLP]


  57. Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab? [Citation Graph (, )][DBLP]


  58. The Assistment Builder: A Rapid Development Tool for ITS. [Citation Graph (, )][DBLP]


  59. Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. [Citation Graph (, )][DBLP]


  60. An architecture to combine meta-cognitive and cognitive tutoring: Pilot testing the Help Tutor. [Citation Graph (, )][DBLP]


  61. Do Performance Goals Lead Students to Game the System? [Citation Graph (, )][DBLP]


  62. On Using Learning Curves to Evaluate ITS. [Citation Graph (, )][DBLP]


  63. Rapid development of computer-based tutors with the Cognitive Tutor Authoring Tools (CTAT). [Citation Graph (, )][DBLP]


  64. Blending Assessment and Instructional Assisting. [Citation Graph (, )][DBLP]


  65. Modeling Helping Behavior in an Intelligent Tutor for Peer Tutoring. [Citation Graph (, )][DBLP]


  66. Performance Factors Analysis - A New Alternative to Knowledge Tracing. [Citation Graph (, )][DBLP]


  67. Educational Software Features that Encourage and Discourage "Gaming the System". [Citation Graph (, )][DBLP]


  68. Designing a pen-based flashcard application to support classroom learning environment. [Citation Graph (, )][DBLP]


  69. Towards the Application of a Handwriting Interface for Mathematics Learning. [Citation Graph (, )][DBLP]


  70. Using Optimally Selected Drill Practice to Train Basic Facts. [Citation Graph (, )][DBLP]


  71. When Is Assistance Helpful to Learning? Results in Combining Worked Examples and Intelligent Tutoring. [Citation Graph (, )][DBLP]


  72. Comparing Two IRT Models for Conjunctive Skills. [Citation Graph (, )][DBLP]


  73. Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. [Citation Graph (, )][DBLP]


  74. Story Generation to Accelerate Math Problem Authoring for Practice and Assessment. [Citation Graph (, )][DBLP]


  75. To Tutor the Tutor: Adaptive Domain Support for Peer Tutoring. [Citation Graph (, )][DBLP]


  76. The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments. [Citation Graph (, )][DBLP]


  77. Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring. [Citation Graph (, )][DBLP]


  78. Analogies, Explanations, and Practice: Examining How Task Types Affect Second Language Grammar Learning. [Citation Graph (, )][DBLP]


  79. Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. [Citation Graph (, )][DBLP]


  80. Using Data Mining Findings to Aid Searching for Better Cognitive Models. [Citation Graph (, )][DBLP]


  81. Learning by Teaching SimStudent. [Citation Graph (, )][DBLP]


  82. PSLC DataShop: A Data Analysis Service for the Learning Science Community. [Citation Graph (, )][DBLP]


  83. A Computational Model of Accelerated Future Learning through Feature Recognition. [Citation Graph (, )][DBLP]


  84. Note-taking, selecting, and choice: designing interfaces that encourage smaller selections. [Citation Graph (, )][DBLP]


  85. Can we predict which groups of questions students will learn from?. [Citation Graph (, )][DBLP]


  86. Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. [Citation Graph (, )][DBLP]


  87. A Response Time Model For Bottom-Out Hints as Worked Examples. [Citation Graph (, )][DBLP]


  88. An Open Repository and analysis tools for fine-grained, longitudinal learner data. [Citation Graph (, )][DBLP]


  89. Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor. [Citation Graph (, )][DBLP]


  90. A Data Driven Approach to the Discovery of Better Cognitive Models. [Citation Graph (, )][DBLP]


  91. Unsupervised Discovery of Student Strategies. [Citation Graph (, )][DBLP]


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