Neil T. Heffernan - researchr alias

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2011

Ensembling Predictions of Student Knowledge within Intelligent Tutoring SystemsRyan Shaun Joazeiro de Baker, Zachary A. Pardos, Sujith M. Gowda, Bahador B. Nooraei, Neil T. Heffernan. um 2011: 13-24 [doi]

KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing ModelZachary A. Pardos, Neil T. Heffernan. um 2011: 243-254 [doi]

Feedback during Web-Based Homework: The Role of HintsRavi Singh, Muhammad Saleem, Prabodha Pradhan, Cristina Heffernan, Neil T. Heffernan, Leena M. Razzaq, Matthew D. Dailey, Cristine O Connor, Courtney Mulcahy. aied 2011: 328-336 [doi]

Clustering Students to Generate an Ensemble to Improve Standard Test Score PredictionsShubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan. aied 2011: 377-384 [doi]

The Assistance Model: Leveraging How Many Hints and Attempts a Student NeedsYutao Wang, Neil T. Heffernan. flairs 2011: [doi]

2010

Detecting the Moment of LearningRyan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan. its 2010: 25-34 [doi]

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)?Mingyu Feng, Neil T. Heffernan. its 2010: 309-311 [doi]

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)?Mingyu Feng, Neil T. Heffernan. edm 2010: 41-50 [doi]

Using Data Mining Findings to Aid Searching for Better Cognitive ModelsMingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger. its 2010: 312-314 [doi]

Pinpointing Learning Moments; A finer grain P(J) modelAdam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan. edm 2010: 289-290 [doi]

The Fine-Grained Impact of Gaming (?) on LearningYue Gong, Joseph E. Beck, Neil T. Heffernan, Elijah Forbes-Summers. its 2010: 194-203 [doi]

Using multiple Dirichlet distributions to improve parameter plausibilityYue Gong, Joseph E. Beck, Neil T. Heffernan. edm 2010: 61-70 [doi]

Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting ProceduresYue Gong, Joseph E. Beck, Neil T. Heffernan. its 2010: 35-44 [doi]

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithmZachary A. Pardos, Neil T. Heffernan. edm 2010: 161-170 [doi]

Learning What Works in ITS from Non-traditional Randomized Controlled Trial DataZachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan. its 2010: 41-50 [doi]

Modeling Individualization in a Bayesian Networks Implementation of Knowledge TracingZachary A. Pardos, Neil T. Heffernan. um 2010: 255-266 [doi]

Coordinate Geometry Learning Environment with Game-Like PropertiesDovan Rai, Joseph E. Beck, Neil T. Heffernan. its 2010: 254-256 [doi]

Mily s World: A Coordinate Geometry Learning Environment with Game-Like PropertiesDovan Rai, Joseph E. Beck, Neil T. Heffernan. its 2010: 399-401 [doi]

A Coordinate Geometry Learning Environment with Game-Like PropertiesDovan Rai, Joseph E. Beck, Neil T. Heffernan. its 2010: 439 [doi]

Hints: Is It Better to Give or Wait to Be Asked?Leena M. Razzaq, Neil T. Heffernan. its 2010: 349-358 [doi]

Representing Student Performance with Partial CreditYutao Wang, Neil T. Heffernan, Joseph E. Beck. edm 2010: 335-336 [doi]

2009

Addressing the assessment challenge with an online system that tutors as it assessesMingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger. umuai, 19(3):243-266, 2009. [doi]

Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on LearningMingyu Feng, Joseph Beck, Neil T. Heffernan. edm 2009: 51-60 [doi]

Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment SystemMingyu Feng, Neil T. Heffernan, Joseph E. Beck. aied 2009: 523-530 [doi]

Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring SystemMingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan, Murali Mani. tlt, 2(2):79-92, 2009. [doi]

Does Self-Discipline impact students knowledge and learning?Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan. edm 2009: 61-70 [doi]

Detecting the Learning Value of Items In a Randomized Problem SetZachary A. Pardos, Neil T. Heffernan. aied 2009: 499-506 [doi]

Determining the Significance of Item Order In Randomized Problem SetsZachary A. Pardos, Neil T. Heffernan. edm 2009: 111-120 [doi]

Performance Driven Database Design for Scalable Web ApplicationsJozsef Patvarczki, Murali Mani, Neil T. Heffernan. adbis 2009: 43-58 [doi]

The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content CreationLeena M. Razzaq, Jozsef Patvarczki, Shane F. Almeida, Manasi Vartak, Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger. tlt, 2(2):157-166, 2009. [doi]

To Tutor or Not to Tutor: That is the QuestionLeena M. Razzaq, Neil T. Heffernan. aied 2009: 457-464 [doi]

2008

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. edmcc 2008: 107-116 [doi]

Can we predict which groups of questions students will learn from?Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger. edmcc 2008: 218-225 [doi]

Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?Yu Guo, Joseph E. Beck, Neil T. Heffernan. its 2008: 774-778 [doi]

Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra SymbolizationNeil T. Heffernan, Kenneth R. Koedinger, Leena M. Razzaq. aiedu, 18(2):153-178, 2008. [doi]

The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITSZachary A. Pardos, Neil T. Heffernan, Carolina Ruiz, Joseph E. Beck. edmcc 2008: 147-156 [doi]

Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring SystemJozsef Patvarczki, Shane F. Almeida, Joseph E. Beck, Neil T. Heffernan. its 2008: 766-770 [doi]

Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework AssistanceLeena M. Razzaq, Michael Mendicino, Neil T. Heffernan. its 2008: 426-437 [doi]

Towards designing a user-adaptive web-based e-learning systemLeena M. Razzaq, Neil T. Heffernan. chi 2008: 3525-3530 [doi]

2007

The Effect of Model Granularity on Student Performance Prediction Using Bayesian NetworksZachary A. Pardos, Neil T. Heffernan, Brigham Anderson, Cristina Linquist-Heffernan. um 2007: 435-439 [doi]

Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects MethodsZachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan. aied 2007: 626-628

What Level of Tutor Interaction is Best?Leena M. Razzaq, Neil T. Heffernan, Robert W. Lindeman. aied 2007: 222-229

A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional AssistanceLeena 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. In Nadia Nedjah, Luiza de Macedo Mourelle, Mario Neto Borges, Nival Nunesde Almeida, editors, Intelligent Educational Machines: Methodologies and Experiences. Volume 44 of Studies in Computational Intelligence, pages 23-49, Springer, 2007. [doi]

FM and Web Broadcasting Systems for Mobile Language ListeningWang Shudong, Neil T. Heffernan. icalt 2007: 457-458 [doi]

The Distribution of Student Errors Across Schools: An Initial StudyRob R. Weitz, Neil T. Heffernan, Viswanathan Kodaganallur, David Rosenthal. aied 2007: 671-673

2006

Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance RequiredMingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger. its 2006: 31-40 [doi]

Addressing the testing challenge with a web-based e-assessment system that tutors as it assessesMingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger. WWW 2006: 307-316 [doi]

The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS CreationNeil T. Heffernan, Terrence E. Turner, Abraao L. N. Lourenco, Michael A. Macasek, Goss Nuzzo-Jones, Kenneth R. Koedinger. flairs 2006: 515-520

Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding MethodsKevin Kardian, Neil T. Heffernan. its 2006: 735-737 [doi]

Scaffolding vs. Hints in the Assistment SystemLeena M. Razzaq, Neil T. Heffernan. its 2006: 635-644 [doi]

Prevention of Off-Task Gaming Behavior in Intelligent Tutoring SystemsJason A. Walonoski, Neil T. Heffernan. its 2006: 722-724 [doi]

Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring SystemsJason A. Walonoski, Neil T. Heffernan. its 2006: 382-391 [doi]

2005

The eXtensible Tutor Architecture: A New Foundation for ITSGoss Nuzzo-Jones, Jason A. Walonoski, Neil T. Heffernan, Tom Livak. aied 2005: 902-904

Blending Assessment and Instructional AssistingLeena 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. aied 2005: 555-562

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line AssessmentCarolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan. aied 2005: 571-578

The Assistment Builder: A Rapid Development Tool for ITSTerrence E. Turner, Michael A. Macasek, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger. aied 2005: 929-931

2004

Why Are Algebra Word Problems Difficult? Using Tutorial Log Files and the Power Law of Learning to Select the Best Fitting Cognitive ModelEthan A. Croteau, Neil T. Heffernan, Kenneth R. Koedinger. its 2004: 240-250 [doi]

Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist TutorNeil T. Heffernan, Ethan A. Croteau. its 2004: 491-500 [doi]

Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring SystemsMatthew P. Jarvis, Goss Nuzzo-Jones, Neil T. Heffernan. its 2004: 541-553 [doi]

Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by DemonstrationKenneth R. Koedinger, Vincent Aleven, Neil T. Heffernan, Bruce M. McLaren, Matthew Hockenberry. its 2004: 162-174 [doi]

Tutorial Dialog in an Equation Solving Intelligent Tutoring SystemLeena M. Razzaq, Neil T. Heffernan. its 2004: 851-853 [doi]

2002

An Intelligent Tutoring System Incorporating a Model of an Experienced Human TutorNeil T. Heffernan, Kenneth R. Koedinger. its 2002: 596-608 [doi]