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Neil T. Heffernan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. 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]
  4. Neil T. Heffernan, Ethan A. Croteau
    Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:491-500 [Conf]
  5. 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]
  6. 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]
  7. Matthew P. Jarvis, Goss Nuzzo-Jones, Neil T. Heffernan
    Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:541-553 [Conf]
  8. Kevin Kardian, Neil T. Heffernan
    Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:735-737 [Conf]
  9. 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]
  10. Leena M. Razzaq, Neil T. Heffernan
    Tutorial Dialog in an Equation Solving Intelligent Tutoring System. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2004, pp:851-853 [Conf]
  11. Leena M. Razzaq, Neil T. Heffernan
    Scaffolding vs. Hints in the Assistment System. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:635-644 [Conf]
  12. Jason A. Walonoski, Neil T. Heffernan
    Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:382-391 [Conf]
  13. Jason A. Walonoski, Neil T. Heffernan
    Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
    Intelligent Tutoring Systems, 2006, pp:722-724 [Conf]
  14. 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]
  15. Wang Shudong, Neil T. Heffernan
    FM and Web Broadcasting Systems for Mobile Language Listening. [Citation Graph (0, 0)][DBLP]
    ICALT, 2007, pp:457-458 [Conf]
  16. Zachary A. Pardos, Neil T. Heffernan, Brigham Anderson, Cristina L. Heffernan
    The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2007, pp:435-439 [Conf]

  17. Performance Driven Database Design for Scalable Web Applications. [Citation Graph (, )][DBLP]


  18. Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. [Citation Graph (, )][DBLP]


  19. What Level of Tutor Interaction is Best? [Citation Graph (, )][DBLP]


  20. The Distribution of Student Errors Across Schools: An Initial Study. [Citation Graph (, )][DBLP]


  21. The eXtensible Tutor Architecture: A New Foundation for ITS. [Citation Graph (, )][DBLP]


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


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


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


  25. Detecting the Learning Value of Items In a Randomized Problem Set. [Citation Graph (, )][DBLP]


  26. Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. [Citation Graph (, )][DBLP]


  27. To Tutor or Not to Tutor: That is the Question. [Citation Graph (, )][DBLP]


  28. Towards designing a user-adaptive web-based e-learning system. [Citation Graph (, )][DBLP]


  29. Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System. [Citation Graph (, )][DBLP]


  30. Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance. [Citation Graph (, )][DBLP]


  31. Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?. [Citation Graph (, )][DBLP]


  32. A Coordinate Geometry Learning Environment with Game-Like Properties. [Citation Graph (, )][DBLP]


  33. Detecting the Moment of Learning. [Citation Graph (, )][DBLP]


  34. Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures. [Citation Graph (, )][DBLP]


  35. Hints: Is It Better to Give or Wait to Be Asked? [Citation Graph (, )][DBLP]


  36. The Fine-Grained Impact of Gaming (?) on Learning. [Citation Graph (, )][DBLP]


  37. Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties. [Citation Graph (, )][DBLP]


  38. Can We Get Better Assessment from a Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning during the Test)? [Citation Graph (, )][DBLP]


  39. Coordinate Geometry Learning Environment with Game-Like Properties. [Citation Graph (, )][DBLP]


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


  41. Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data. [Citation Graph (, )][DBLP]


  42. Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. [Citation Graph (, )][DBLP]


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


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


  45. The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. [Citation Graph (, )][DBLP]


  46. Pinpointing Learning Moments; A finer grain P(J) model. [Citation Graph (, )][DBLP]


  47. Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm. [Citation Graph (, )][DBLP]


  48. Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)? [Citation Graph (, )][DBLP]


  49. Representing Student Performance with Partial Credit. [Citation Graph (, )][DBLP]


  50. Using multiple Dirichlet distributions to improve parameter plausibility. [Citation Graph (, )][DBLP]


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