| 2012 | ||
|---|---|---|
| c71 | Shubhendu Trivedi, Zachary A. Pardos, Gábor N. Sárközy, Neil T. Heffernan: Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction. EDM 2012: 33-40 | |
| c70 | Zachary A. Pardos, Neil T. Heffernan: Tutor Modeling Versus Student Modeling. FLAIRS Conference 2012 | |
| c69 | Yumeng Qiu, Zachary A. Pardos, Neil T. Heffernan: Towards Data Driven Model Improvement. FLAIRS Conference 2012 | |
| c68 | Yue Gong, Joseph E. Beck, Neil T. Heffernan: WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching. ITS 2012: 268-273 | |
| c67 | ||
| c66 | Zachary A. Pardos, Shubhendu Trivedi, Neil T. Heffernan, Gábor N. Sárközy: Clustered Knowledge Tracing. ITS 2012: 405-410 | |
| 2011 | ||
| j8 | Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan: Detecting Learning Moment-by-Moment. I. J. Artificial Intelligence in Education 21(1-2): 5-25 (2011) | |
| j7 | Yue Gong, Joseph E. Beck, Neil T. Heffernan: How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis. I. J. Artificial Intelligence in Education 21(1-2): 27-46 (2011) | |
| j6 | Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan: Learning What Works in its from Non-Traditional Randomized Controlled Trial Data. I. J. Artificial Intelligence in Education 21(1-2): 47-63 (2011) | |
| j5 | Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan: The sum is greater than the parts: ensembling models of student knowledge in educational software. SIGKDD Explorations 13(2): 37-44 (2011) | |
| c65 | Jozsef Patvarczki, Neil T. Heffernan: Automatic Physical Database Tuning Middleware for Web-Based Applications. ADBIS 2011: 361-374 | |
| c64 | Ravi Singh, Muhammad Saleem, Prabodha Pradhan, Cristina Heffernan, Neil T. Heffernan, Leena M. Razzaq, Matthew D. Dailey, Cristine O'Connor, Courtney Mulcahy: Feedback during Web-Based Homework: The Role of Hints. AIED 2011: 328-336 | |
| c63 | Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan: Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions. AIED 2011: 377-384 | |
| c62 | Bahador B. Nooraei, Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker: Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data. EDM 2011: 101-110 | |
| c61 | Shubhendu Trivedi, Zachary A. Pardos, Gábor N. Sárközy, Neil T. Heffernan: Spectral Clustering in Educational Data Mining. EDM 2011: 129-138 | |
| c60 | Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary A. Pardos, Neil T. Heffernan: Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing. EDM 2011: 139-148 | |
| c59 | Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan: Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System. EDM 2011: 189-198 | |
| c58 | Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan: Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. EDM 2011: 295-300 | |
| c57 | Yutao Wang, Neil T. Heffernan: Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. EDM 2011: 352 | |
| c56 | Yutao Wang, Neil T. Heffernan: The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs. FLAIRS Conference 2011 | |
| c55 | Ryan Shaun Joazeiro de Baker, Zachary A. Pardos, Sujith M. Gowda, Bahador B. Nooraei, Neil T. Heffernan: Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems. UMAP 2011: 13-24 | |
| c54 | Zachary A. Pardos, Neil T. Heffernan: KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model. UMAP 2011: 243-254 | |
| 2010 | ||
| c53 | Mingyu Feng, Neil T. Heffernan: 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)? EDM 2010: 41-50 | |
| c52 | Yue Gong, Joseph E. Beck, Neil T. Heffernan: Using multiple Dirichlet distributions to improve parameter plausibility. EDM 2010: 61-70 | |
| c51 | Zachary A. Pardos, Neil T. Heffernan: Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm. EDM 2010: 161-170 | |
| c50 | Adam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan: Pinpointing Learning Moments; A finer grain P(J) model. EDM 2010: 289-290 | |
| c49 | Yutao Wang, Neil T. Heffernan, Joseph E. Beck: Representing Student Performance with Partial Credit. EDM 2010: 335-336 | |
| c48 | Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan: Detecting the Moment of Learning. Intelligent Tutoring Systems (1) 2010: 25-34 | |
| c47 | Yue Gong, Joseph E. Beck, Neil T. Heffernan: Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures. Intelligent Tutoring Systems (1) 2010: 35-44 | |
| c46 | Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan: Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data. Intelligent Tutoring Systems (2) 2010: 41-50 | |
| c45 | Yue Gong, Joseph E. Beck, Neil T. Heffernan, Elijah Forbes-Summers: The Fine-Grained Impact of Gaming (?) on Learning. Intelligent Tutoring Systems (1) 2010: 194-203 | |
| c44 | Dovan Rai, Joseph E. Beck, Neil T. Heffernan: Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 254-256 | |
| c43 | Mingyu Feng, Neil T. Heffernan: 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)? Intelligent Tutoring Systems (2) 2010: 309-311 | |
| c42 | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger: Using Data Mining Findings to Aid Searching for Better Cognitive Models. Intelligent Tutoring Systems (2) 2010: 312-314 | |
| c41 | Leena M. Razzaq, Neil T. Heffernan: Hints: Is It Better to Give or Wait to Be Asked? Intelligent Tutoring Systems (1) 2010: 349-358 | |
| c40 | Dovan Rai, Joseph E. Beck, Neil T. Heffernan: Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 399-401 | |
| c39 | Dovan Rai, Joseph E. Beck, Neil T. Heffernan: A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) 2010: 439 | |
| c38 | Zachary A. Pardos, Neil T. Heffernan: Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. UMAP 2010: 255-266 | |
| 2009 | ||
| j4 | Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan, Murali Mani: Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System. TLT 2(2): 79-92 (2009) | |
| j3 | Leena M. Razzaq, Jozsef Patvarczki, Shane F. Almeida, Manasi Vartak, Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger: The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. TLT 2(2): 157-166 (2009) | |
| j2 | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger: Addressing the assessment challenge with an online system that tutors as it assesses. User Model. User-Adapt. Interact. 19(3): 243-266 (2009) | |
| c37 | Jozsef Patvarczki, Murali Mani, Neil T. Heffernan: Performance Driven Database Design for Scalable Web Applications. ADBIS 2009: 43-58 | |
| c36 | Leena M. Razzaq, Neil T. Heffernan: To Tutor or Not to Tutor: That is the Question. AIED 2009: 457-464 | |
| c35 | Zachary A. Pardos, Neil T. Heffernan: Detecting the Learning Value of Items In a Randomized Problem Set. AIED 2009: 499-506 | |
| c34 | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck: Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. AIED 2009: 523-530 | |
| c33 | Mingyu Feng, Joseph Beck, Neil T. Heffernan: Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. EDM 2009: 51-60 | |
| c32 | Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan: Does Self-Discipline impact students' knowledge and learning?. EDM 2009: 61-70 | |
| c31 | Zachary A. Pardos, Neil T. Heffernan: Determining the Significance of Item Order In Randomized Problem Sets. EDM 2009: 111-120 | |
| 2008 | ||
| j1 | Neil T. Heffernan, Kenneth R. Koedinger, Leena M. Razzaq: Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra Symbolization. I. J. Artificial Intelligence in Education 18(2): 153-178 (2008) | |
| c30 | Leena M. Razzaq, Neil T. Heffernan: Towards designing a user-adaptive web-based e-learning system. CHI Extended Abstracts 2008: 3525-3530 | |
| c29 | Mingyu Feng, Joseph E. Beck, Neil T. Heffernan, Kenneth R. Koedinger: Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. EDM 2008: 107-116 | |
| c28 | Zachary A. Pardos, Neil T. Heffernan, Carolina Ruiz, Joseph E. Beck: The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. EDM 2008: 147-156 | |
| c27 | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger: Can we predict which groups of questions students will learn from?. EDM 2008: 218-225 | |
| c26 | Leena M. Razzaq, Michael Mendicino, Neil T. Heffernan: Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance. Intelligent Tutoring Systems 2008: 426-437 | |
| c25 | Jozsef Patvarczki, Shane F. Almeida, Joseph E. Beck, Neil T. Heffernan: Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System. Intelligent Tutoring Systems 2008: 766-770 | |
| c24 | Yu Guo, Joseph E. Beck, Neil T. Heffernan: Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?. Intelligent Tutoring Systems 2008: 774-778 | |
| 2007 | ||
| c23 | Leena M. Razzaq, Neil T. Heffernan, Robert W. Lindeman: What Level of Tutor Interaction is Best? AIED 2007: 222-229 | |
| c22 | Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan: Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. AIED 2007: 626-628 | |
| c21 | Rob R. Weitz, Neil T. Heffernan, Viswanathan Kodaganallur, David Rosenthal: The Distribution of Student Errors Across Schools: An Initial Study. AIED 2007: 671-673 | |
| c20 | Shudong Wang, Neil T. Heffernan: FM and Web Broadcasting Systems for Mobile Language Listening. ICALT 2007: 457-458 | |
| c19 | Zachary A. Pardos, Neil T. Heffernan, Brigham Anderson, Cristina Linquist-Heffernan: The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. User Modeling 2007: 435-439 | |
| p1 | 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: A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance. Intelligent Educational Machines 2007: 23-49 | |
| 2006 | ||
| c18 | 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. FLAIRS Conference 2006: 515-520 | |
| c17 | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger: Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. Intelligent Tutoring Systems 2006: 31-40 | |
| c16 | Jason A. Walonoski, Neil T. Heffernan: Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2006: 382-391 | |
| c15 | Leena M. Razzaq, Neil T. Heffernan: Scaffolding vs. Hints in the Assistment System. Intelligent Tutoring Systems 2006: 635-644 | |
| c14 | Jason A. Walonoski, Neil T. Heffernan: Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2006: 722-724 | |
| c13 | Kevin Kardian, Neil T. Heffernan: Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods. Intelligent Tutoring Systems 2006: 735-737 | |
| c12 | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger: Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. WWW 2006: 307-316 | |
| 2005 | ||
| c11 | Leena M. Razzaq, Mingyu Feng, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Steven Ritter, Andrea Knight, Edwin Mercado, Terrence E. Turner, Ruta Upalekar, Jason A. Walonoski, Michael A. Macasek, Christopher Aniszczyk, Sanket Choksey, Tom Livak, Kai P. Rasmussen: Blending Assessment and Instructional Assisting. AIED 2005: 555-562 | |
| c10 | Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan: Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED 2005: 571-578 | |
| c9 | Goss Nuzzo-Jones, Jason A. Walonoski, Neil T. Heffernan, Tom Livak: The eXtensible Tutor Architecture: A New Foundation for ITS. AIED 2005: 902-904 | |
| c8 | Terrence E. Turner, Michael A. Macasek, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger: The Assistment Builder: A Rapid Development Tool for ITS. AIED 2005: 929-931 | |
| 2004 | ||
| c7 | 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. Intelligent Tutoring Systems 2004: 162-174 | |
| c6 | 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. Intelligent Tutoring Systems 2004: 240-250 | |
| c5 | Neil T. Heffernan, Ethan A. Croteau: Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor. Intelligent Tutoring Systems 2004: 491-500 | |
| c4 | Matthew P. Jarvis, Goss Nuzzo-Jones, Neil T. Heffernan: Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 541-553 | |
| c3 | Leena M. Razzaq, Neil T. Heffernan: Tutorial Dialog in an Equation Solving Intelligent Tutoring System. Intelligent Tutoring Systems 2004: 851-853 | |
| c2 | 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. Intelligent Tutoring Systems 2004: 914 | |
| 2002 | ||
| c1 | Neil T. Heffernan, Kenneth R. Koedinger: An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor. Intelligent Tutoring Systems 2002: 596-608 | |
Colors in the list of coauthors
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