Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors. - Neil T. Heffernan (CHI Conference Summary, 1998)

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

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)

Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor. - Neil T. Heffernan; Ethan A. Croteau (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)

Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems. - Matthew P. Jarvis; Goss Nuzzo-Jones; Neil T. Heffernan (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)

Tutorial Dialog in an Equation Solving Intelligent Tutoring System. - Leena M. Razzaq; Neil T. Heffernan (Intelligent Tutoring Systems, 2004)

The eXtensible Tutor Architecture: A New Foundation for ITS. - Goss Nuzzo-Jones; Jason A. Walonoski; Neil T. Heffernan; Tom Livak (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)

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)

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)

Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods. - Kevin Kardian; Neil T. Heffernan (Intelligent Tutoring Systems, 2006)

Scaffolding vs. Hints in the Assistment System. - Leena M. Razzaq; Neil T. Heffernan (Intelligent Tutoring Systems, 2006)

Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems. - Jason A. Walonoski; Neil T. Heffernan (Intelligent Tutoring Systems, 2006)

Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems. - Jason A. Walonoski; Neil T. Heffernan (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)

Educational Data Mining Workshop. - Cecily Heiner; Neil T. Heffernan; Tiffany Barnes (AIED, 2007)

Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. - Zachary A. Pardos; Mingyu Feng; Neil T. Heffernan; Cristina Linquist-Heffernan (AIED, 2007)

What Level of Tutor Interaction is Best? - Leena M. Razzaq; Neil T. Heffernan; Robert W. Lindeman (AIED, 2007)

The Distribution of Student Errors Across Schools: An Initial Study. - Rob R. Weitz; Neil T. Heffernan; Viswanathan Kodaganallur; David Rosenthal (AIED, 2007)

FM and Web Broadcasting Systems for Mobile Language Listening. - Shudong Wang; Neil T. Heffernan (ICALT, 2007)

The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. - Zachary A. Pardos; Neil T. Heffernan; Brigham S. Anderson; Cristina Linquist-Heffernan (User Modeling, 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)

Towards designing a user-adaptive web-based e-learning system. - Leena M. Razzaq; Neil T. Heffernan (CHI Extended Abstracts, 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 (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)

The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. - Zachary A. Pardos; Neil T. Heffernan; Carolina Ruiz; Joseph E. Beck (EDM, 2008)

Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?. - Yu Guo; Joseph E. Beck; Neil T. Heffernan (Intelligent Tutoring Systems, 2008)

Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System. - Jozsef Patvarczki; Shane F. Almeida; Joseph E. Beck; Neil T. Heffernan (Intelligent Tutoring Systems, 2008)

Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance. - Leena M. Razzaq; Michael Mendicino; Neil T. Heffernan (Intelligent Tutoring Systems, 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)

Performance Driven Database Design for Scalable Web Applications. - Jozsef Patvarczki; Murali Mani; Neil T. Heffernan (ADBIS, 2009)

Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. - Mingyu Feng; Neil T. Heffernan; Joseph E. Beck (AIED, 2009)

Detecting the Learning Value of Items In a Randomized Problem Set. - Zachary A. Pardos; Neil T. Heffernan (AIED, 2009)

To Tutor or Not to Tutor: That is the Question. - Leena M. Razzaq; Neil T. Heffernan (AIED, 2009)

Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. - Mingyu Feng; Joseph Beck 001; Neil T. Heffernan (EDM, 2009)

Does Self-Discipline impact students' knowledge and learning?. - Yue Gong; Dovan Rai; Joseph Beck 001; Neil T. Heffernan (EDM, 2009)

Determining the Significance of Item Order In Randomized Problem Sets. - Zachary A. Pardos; Neil T. Heffernan (EDM, 2009)

Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System. - Mingyu Feng; Neil T. Heffernan; Cristina Linquist-Heffernan; Murali Mani (IEEE Trans. Learn. Technol., 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)

Pinpointing Learning Moments; A finer grain P(J) model. - Adam B. Goldstein; Ryan Shaun Joazeiro de Baker; Neil T. Heffernan (EDM, 2010)

Using multiple Dirichlet distributions to improve parameter plausibility. - Yue Gong; Joseph E. Beck; Neil T. Heffernan (EDM, 2010)

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm. - Zachary A. Pardos; Neil T. Heffernan (EDM, 2010)

Representing Student Performance with Partial Credit. - Yutao Wang; Neil T. Heffernan; Joseph E. Beck (EDM, 2010)

Detecting the Moment of Learning. - Ryan Shaun Joazeiro de Baker; Adam B. Goldstein; Neil T. Heffernan (Intelligent Tutoring Systems (1), 2010)

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 (Intelligent Tutoring Systems (2), 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)

Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures. - Yue Gong; Joseph E. Beck; Neil T. Heffernan (Intelligent Tutoring Systems (1), 2010)

The Fine-Grained Impact of Gaming (?) on Learning. - Yue Gong; Joseph E. Beck; Neil T. Heffernan; Elijah Forbes-Summers (Intelligent Tutoring Systems (1), 2010)

Coordinate Geometry Learning Environment with Game-Like Properties. - Dovan Rai; Joseph E. Beck; Neil T. Heffernan (Intelligent Tutoring Systems (2), 2010)

Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties. - Dovan Rai; Joseph E. Beck; Neil T. Heffernan (Intelligent Tutoring Systems (2), 2010)

Hints: Is It Better to Give or Wait to Be Asked? - Leena M. Razzaq; Neil T. Heffernan (Intelligent Tutoring Systems (1), 2010)

Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. - Zachary A. Pardos; Neil T. Heffernan (UMAP, 2010)

Ethical issues in Computer-Assisted Language Learning: Perceptions of teachers and learners. - Shudong Wang; Neil T. Heffernan (Br. J. Educ. Technol., 2010)

Open Content Authoring Tools. - Leena M. Razzaq; Neil T. Heffernan (Advances in Intelligent Tutoring Systems, 2010)

Automatic Physical Database Tuning Middleware for Web-Based Applications. - Jozsef Patvarczki; Neil T. Heffernan (ADBIS, 2011)

Feedback during Web-Based Homework: The Role of Hints. - Ravi Singh; Muhammad Saleem 003; Prabodha Pradhan; Cristina Heffernan; Neil T. Heffernan; Leena M. Razzaq; Matthew D. Dailey; Cristine O'Connor; Courtney Mulcahy (AIED, 2011)

Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions. - Shubhendu Trivedi; Zachary A. Pardos; Neil T. Heffernan (AIED, 2011)

Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. - Mingyu Feng; Neil T. Heffernan; Zachary A. Pardos; Cristina Heffernan (EDM, 2011)

Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data. - Bahador B. Nooraei; Zachary A. Pardos; Neil T. Heffernan; Ryan Shaun Joazeiro de Baker (EDM, 2011)

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System. - Zachary A. Pardos; Sujith M. Gowda; Ryan Shaun Joazeiro de Baker; Neil T. Heffernan (EDM, 2011)

Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing. - Yumeng Qiu; Yingmei Qi; Hanyuan Lu; Zachary A. Pardos; Neil T. Heffernan (EDM, 2011)

Spectral Clustering in Educational Data Mining. - Shubhendu Trivedi; Zachary A. Pardos; Gábor N. Sárközy; Neil T. Heffernan (EDM, 2011)

Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. - Yutao Wang; Neil T. Heffernan (EDM, 2011)

The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs. - Yutao Wang; Neil T. Heffernan (FLAIRS, 2011)

Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems. - Ryan Shaun Joazeiro de Baker; Zachary A. Pardos; Sujith M. Gowda; Bahador B. Nooraei; Neil T. Heffernan (UMAP, 2011)

KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model. - Zachary A. Pardos; Neil T. Heffernan (UMAP, 2011)

Detecting Learning Moment-by-Moment. - Ryan Shaun Joazeiro de Baker; Adam B. Goldstein; Neil T. Heffernan (Int. J. Artif. Intell. Educ., 2011)

How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis. - Yue Gong; Joseph E. Beck; Neil T. Heffernan (Int. J. Artif. Intell. Educ., 2011)

Learning What Works in its from Non-Traditional Randomized Controlled Trial Data. - Zachary A. Pardos; Matthew D. Dailey; Neil T. Heffernan (Int. J. Artif. Intell. Educ., 2011)

The sum is greater than the parts: ensembling models of student knowledge in educational software. - Zachary A. Pardos; Sujith M. Gowda; Ryan Shaun Joazeiro de Baker; Neil T. Heffernan (SIGKDD Explor., 2011)

Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction. - Shubhendu Trivedi; Zachary A. Pardos; Gábor N. Sárközy; Neil T. Heffernan (EDM, 2012)

Leveraging First Response Time into the Knowledge Tracing Model. - Yutao Wang; Neil T. Heffernan (EDM, 2012)

Tutor Modeling Versus Student Modeling. - Zachary A. Pardos; Neil T. Heffernan (FLAIRS, 2012)

Towards Data Driven Model Improvement. - Yumeng Qiu; Zachary A. Pardos; Neil T. Heffernan (FLAIRS, 2012)

WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching. - Yue Gong; Joseph E. Beck; Neil T. Heffernan (ITS, 2012)

Clustered Knowledge Tracing. - Zachary A. Pardos; Shubhendu Trivedi; Neil T. Heffernan; Gábor N. Sárközy (ITS, 2012)

The Student Skill Model. - Yutao Wang; Neil T. Heffernan (ITS, 2012)

Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)? - William Hawkins 002; Neil T. Heffernan; Ryan Shaun Joazeiro de Baker (ACII, 2013)

Estimating the Effect of Web-Based Homework. - Kim M. Kelly; Neil T. Heffernan; Cristina Heffernan; Susan R. Goldman; James Pellegrino; Deena Soffer Goldstein (AIED, 2013)

Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System. - Maria Ofelia Clarissa Z. San Pedro; Ryan Shaun Joazeiro de Baker; Sujith M. Gowda; Neil T. Heffernan (AIED, 2013)

Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes. - Yutao Wang; Neil T. Heffernan (AIED, 2013)

A Comparison of Two Different Methods to Individualize Students and Skills. - Yutao Wang; Neil T. Heffernan (AIED, 2013)

Do students really learn an equal amount independent of whether they get an item correct or wrong? - Seth Adjei; Seye Salehizadeh; Yutao Wang; Neil T. Heffernan (EDM, 2013)

A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint". - Hien Duong; Linglong Zhu; Yutao Wang; Neil T. Heffernan (EDM, 2013)

Extending the Assistance Model: Analyzing the Use of Assistance over Time. - William Hawkins 002; Neil T. Heffernan; Yutao Wang; Ryan Shaun Baker (EDM, 2013)

Using ITS Generated Data to Predict Standardized Test Scores. - Kim M. Kelly; Ivon Arroyo; Neil T. Heffernan (EDM, 2013)

Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. - Maria Ofelia Clarissa Z. San Pedro; Ryan Shaun Baker; Alex J. Bowers; Neil T. Heffernan (EDM, 2013)

Does Immediate Feedback While Doing Homework Improve Learning? - Paul Kehrer; Kim M. Kelly; Neil T. Heffernan (FLAIRS, 2013)

Added Teacher-Created Motiational Video to an ITS. - Kim M. Kelly; Neil T. Heffernan; Sidney K. D'Mello; Jeffrey Namais; Amber Chauncey Strain (FLAIRS, 2013)

Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. - Fei Song; Shubhendu Trivedi; Yutao Wang; Gábor N. Sárközy; Neil T. Heffernan (FLAIRS, 2013)

Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. - Seth Adjei; Douglas Selent; Neil T. Heffernan; Zachary A. Pardos; Angela Broaddus; Neal Kingston (EDM, 2014)

Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing. - William J. Hawkins; Neil T. Heffernan (EDM (Workshops), 2014)

Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments. - Korinn Ostrow; Neil T. Heffernan (EDM, 2014)

Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. - Maria Ofelia San Pedro; Jaclyn Ocumpaugh; Ryan S. Baker 001; Neil T. Heffernan (EDM, 2014)

Improving Retention Performance Prediction with Prerequisite Skill Features. - Xiaolu Xiong; Seth Adjei; Neil T. Heffernan (EDM, 2014)

The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. - Linglong Zhu; Yutao Wang; Neil T. Heffernan (EDM (Workshops), 2014)

Using Analytics for Improving Implementation Fidelity in an Large Scale Efficacy Trial. - Mingyu Feng; Jeremy Roschelle; Robert F. Murphy; Neil T. Heffernan (ICLS, 2014)

Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial. - Mingyu Feng; Jeremy Roschelle; Neil T. Heffernan; Janet Fairman; Robert F. Murphy (Intelligent Tutoring Systems, 2014)

Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate? - Junjie Gu; Yutao Wang; Neil T. Heffernan (Intelligent Tutoring Systems, 2014)

Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities. - William J. Hawkins; Neil T. Heffernan; Ryan Shaun Joazeiro de Baker (Intelligent Tutoring Systems, 2014)

Reducing Student Hint Use by Creating Buggy Messages from Machine Learned Incorrect Processes. - Douglas Selent; Neil T. Heffernan (Intelligent Tutoring Systems, 2014)

The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics. - Yutao Wang; Neil T. Heffernan (Intelligent Tutoring Systems, 2014)

The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching. - Neil T. Heffernan; Cristina Linquist-Heffernan (Int. J. Artif. Intell. Educ., 2014)

Population validity for educational data mining models: A case study in affect detection. - Jaclyn Ocumpaugh; Ryan Shaun Baker; Sujith M. Gowda; Neil T. Heffernan; Cristina Heffernan (Br. J. Educ. Technol., 2014)

Improving Learning Maps Using an Adaptive Testing System: PLACEments. - Seth Akonor Adjei; Neil T. Heffernan (AIED, 2015)

Learning, Moment-by-Moment and Over the Long Term. - Yang Jiang; Ryan Shaun Joazeiro de Baker; Luc Paquette; Maria Ofelia Clarissa Z. San Pedro; Neil T. Heffernan (AIED, 2015)

Developing Self-regulated Learners Through an Intelligent Tutoring System. - Kim M. Kelly; Neil T. Heffernan (AIED, 2015)

The Role of Student Choice Within Adaptive Tutoring. - Korinn S. Ostrow; Neil T. Heffernan (AIED, 2015)

Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework. - Korinn Ostrow; Neil T. Heffernan; Cristina Heffernan; Zoe Peterson (AIED, 2015)

When More Intelligent Tutoring in the Form of Buggy Messages Does not Help. - Douglas Selent; Neil T. Heffernan (AIED, 2015)

Connecting Collaborative & Crowd Work with Online Education. - Joseph Jay Williams; Markus Krause; Praveen K. Paritosh; Jacob Whitehill; Justin Reich; Juho Kim 001; Piotr Mitros; Neil T. Heffernan; Brian C. Keegan (CSCW Companion, 2015)

Grand Challenges for EDM and Related Research Areas. - Ryan S. Baker 001; Peter Brusilovsky; Dragan Gasevic; Neil T. Heffernan; Mykola Pechenizkiy; Alyssa Friend Wise (EDM, 2015)

Predicting Student Aptitude Using Performance History. - Anthony F. Botelho; Seth Akonor Adjei; Hao Wan 002; Neil T. Heffernan (EDM, 2015)

Building Models to Predict Hint-or-Attempt Actions of Students. - Francisco Enrique Vicente Castro; Seth Adjei; Tyler Colombo; Neil T. Heffernan (EDM, 2015)

Using Partial Credit and Response History to Model User Knowledge. - Eric Van Inwegen; Seth Adjei; Yan Wang 005; Neil T. Heffernan (EDM, 2015)

The Effect of the Distribution of Predictions of User Models. - Eric Van Inwegen; Yan Wang 005; Seth Adjei; Neil T. Heffernan (EDM, 2015)

Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses. - Kim M. Kelly; Yan Wang 005; Tamisha Thompson; Neil T. Heffernan (EDM, 2015)

The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. - Charles Lang; Neil T. Heffernan; Korinn Ostrow; Yutao Wang (EDM, 2015)

Optimizing Partial Credit Algorithms to Predict Student Performance. - Korinn Ostrow; Christopher Donnelly; Neil T. Heffernan (EDM, 2015)

Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement. - Maria Ofelia San Pedro; Erica L. Snow; Ryan S. Baker 001; Danielle S. McNamara; Neil T. Heffernan (EDM, 2015)

An analysis of the impact of action order on future performance: the fine-grain action model. - Eric Van Inwegen; Seth Adjei; Yan Wang 005; Neil T. Heffernan (LAK, 2015)

Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system? - Maria Ofelia Clarissa Z. San Pedro; Ryan Shaun Baker; Neil T. Heffernan; Jaclyn Ocumpaugh (LAK, 2015)

Towards better affect detectors: effect of missing skills, class features and common wrong answers. - Yutao Wang; Neil T. Heffernan; Cristina Heffernan (LAK, 2015)

The Prediction of Student First Response Using Prerequisite Skills. - Anthony Botelho; Hao Wan 002; Neil T. Heffernan (L@S, 2015)

Improving Student Modeling Through Partial Credit and Problem Difficulty. - Korinn Ostrow; Christopher Donnelly; Seth Adjei; Neil T. Heffernan (L@S, 2015)

Using and Designing Platforms for In Vivo Educational Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (L@S, 2015)

A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. - Joseph Jay Williams; Neil T. Heffernan (UMAP Workshops, 2015)

The Utility of Clustering in Prediction Tasks. - Shubhendu Trivedi; Zachary A. Pardos; Neil T. Heffernan (CoRR, 2015)

Using and Designing Platforms for In Vivo Education Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (CoRR, 2015)

Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. - Anthony F. Botelho; Seth Adjei; Neil T. Heffernan (EDM, 2016)

Hint Availability Slows Completion Times in Summer Work. - Paul Salvador Inventado; Peter Scupelli; Eric Van Inwegen; Korinn Ostrow; Neil Thomas Heffernan III; Jaclyn Ocumpaugh; Ryan S. Baker 001; Stefan Slater; Mia Almeda (EDM, 2016)

Semantic Features of Math Problems: Relationships to Student Learning and Engagement. - Stefan Slater; Jaclyn Ocumpaugh; Ryan S. Baker 001; Peter Scupelli; Paul Salvador Inventado; Neil T. Heffernan (EDM, 2016)

Discovering 'Tough Love' Interventions Despite Dropout. - Joseph Jay Williams; Anthony Botelho; Adam Sales; Neil T. Heffernan; Charles Lang (EDM, 2016)

Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. - Seth Akonor Adjei; Anthony F. Botelho; Neil T. Heffernan (LAK, 2016)

The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. - Korinn S. Ostrow; Douglas Selent; Yan Wang 005; Eric Van Inwegen; Neil T. Heffernan; Joseph Jay Williams (LAK, 2016)

Enhancing the efficiency and reliability of group differentiation through partial credit. - Yan Wang 005; Korinn Ostrow; Joseph Beck 001; Neil T. Heffernan (LAK, 2016)

Optimizing the Amount of Practice in an On-Line Platform. - Kim M. Kelly; Neil T. Heffernan (L@S, 2016)

Studying Learning at Scale with the ASSISTments TestBed. - Korinn S. Ostrow; Neil T. Heffernan (L@S, 2016)

ASSISTments Dataset from Multiple Randomized Controlled Experiments. - Douglas Selent; Thanaporn Patikorn; Neil T. Heffernan (L@S, 2016)

The Opportunity Count Model: A Flexible Approach to Modeling Student Performance. - Yan Wang 005; Korinn Ostrow; Seth Adjei; Neil T. Heffernan (L@S, 2016)

AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. - Joseph Jay Williams; Juho Kim 001; Anna N. Rafferty; Samuel G. Maldonado; Krzysztof Z. Gajos; Walter S. Lasecki; Neil T. Heffernan (L@S, 2016)

The Future of Adaptive Learning: Does the Crowd Hold the Key? - Neil T. Heffernan; Korinn S. Ostrow; Kim M. Kelly; Douglas Selent; Eric Van Inwegen; Xiaolu Xiong; Joseph Jay Williams (Int. J. Artif. Intell. Educ., 2016)

Using natural language processing tools to develop complex models of student engagement. - Stefan Slater; Jaclyn Ocumpaugh; Ryan S. Baker 001; Ma. Victoria Almeda; Laura K. Allen; Neil T. Heffernan (ACII, 2017)

Improving Sensor-Free Affect Detection Using Deep Learning. - Anthony F. Botelho; Ryan S. Baker 001; Neil T. Heffernan (AIED, 2017)

Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. - Seth Adjei; Korinn Ostrow; Erik Erickson; Neil T. Heffernan (EDM, 2017)

Modeling Wheel-spinning and Productive Persistence in Skill Builders. - Shimin Kai; Ma. Victoria Almeda; Ryan S. Baker 001; Nicole Shechtman; Cristina Heffernan; Neil T. Heffernan (EDM, 2017)

An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect. - Thanaporn Patikorn; Neil T. Heffernan; Jian Zou (EDM, 2017)

Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. - Thanaporn Patikorn; Douglas Selent; Neil T. Heffernan; Joseph Beck 001; Jian Zou (EDM, 2017)

Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. - Biao Yin; Anthony F. Botelho; Thanaporn Patikorn; Neil T. Heffernan; Jian Zou (EDM, 2017)

Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks. - Siyuan Zhao; Neil T. Heffernan (EDM, 2017)

Feedback Design Patterns for Math Online Learning Systems. - Paul Salvador Inventado; Peter Scupelli; Cristina Heffernan; Neil T. Heffernan (EuroPLoP, 2017)

Sequencing content in an adaptive testing system: the role of choice. - Seth Akonor Adjei; Anthony F. Botelho; Neil T. Heffernan (LAK, 2017)

Guidance counselor reports of the ASSISTments college prediction model (ACPM). - Jaclyn Ocumpaugh; Ryan S. Baker 001; Maria Ofelia Clarissa Z. San Pedro; M. Aaron Hawn; Cristina Heffernan; Neil T. Heffernan; Stefan A. Slater (LAK, 2017)

Using correlational topic modeling for automated topic identification in intelligent tutoring systems. - Stefan Slater; Ryan S. Baker 001; Ma. Victoria Almeda; Alex J. Bowers; Neil T. Heffernan (LAK, 2017)

Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale. - Xiwen Lu; Xiaolu Xiong; Neil T. Heffernan (L@S, 2017)

Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. - Biao Yin; Thanaporn Patikorn; Anthony F. Botelho; Neil T. Heffernan (L@S, 2017)

Incorporating Rich Features into Deep Knowledge Tracing. - Liang Zhang; Xiaolu Xiong; Siyuan Zhao; Anthony Botelho; Neil T. Heffernan (L@S, 2017)

A Memory-Augmented Neural Model for Automated Grading. - Siyuan Zhao; Yaqiong Zhang; Xiaolu Xiong; Anthony Botelho; Neil T. Heffernan (L@S, 2017)

An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. - Maria Ofelia Clarissa Z. San Pedro; Ryan S. Baker 001; Neil T. Heffernan (Technol. Knowl. Learn., 2017)

How Flexible Is Your Data? A Comparative Analysis of Scoring Methodologies across Learning Platforms in the Context of Group Differentiation. - Korinn S. Ostrow; Yan Wang 005; Neil T. Heffernan (J. Learn. Anal., 2017)

Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments. - Korinn S. Ostrow; Neil T. Heffernan (AIED (1), 2018)

Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. - Anthony F. Botelho; Ryan S. Baker 001; Jaclyn Ocumpaugh; Neil T. Heffernan (EDM, 2018)

Using Big Data to Sharpen Design-Based Inference in A/B Tests. - Adam Sales; Anthony Botelho; Thanaporn Patikorn; Neil T. Heffernan (EDM, 2018)

Using Design Patterns for Math Preservice Teacher Education. - Paul Salvador Inventado; Sharris Gayle Francisco Inventado; Noboru Matsuda; Yeping Li; Peter Scupelli; Korinn Ostrow; Neil T. Heffernan; Shihfen Tu; Craig Mason; Mary Logue; Pat McGuire (EuroPLoP, 2018)

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. - Shayan Doroudi; Joseph Jay Williams; Juho Kim 001; Thanaporn Patikorn; Korinn Ostrow; Douglas Selent; Neil T. Heffernan; Thomas T. Hills; Carolyn P. Rosé (ICLS, 2018)

Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts. - Thanaporn Patikorn; David Deisadze; Leo Grande; Ziyang Yu; Neil T. Heffernan (AIED (1), 2019)

Understanding the Complexities of Chinese Word Acquisition within an Online Learning Platform. - Xiwen Lu; Korinn S. Ostrow; Neil T. Heffernan (CSEDU (1), 2019)

Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. - Anthony F. Botelho; Ryan S. Baker 001; Neil T. Heffernan (EDM, 2019)

Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. - Ashvini Varatharaj; Anthony F. Botelho; Xiwen Lu; Neil T. Heffernan (EDM, 2019)

Active Learning for Student Affect Detection. - Tsung-Yen Yang; Ryan S. Baker 001; Christoph Studer; Neil T. Heffernan; Andrew S. Lan (EDM, 2019)

Refusing to Try: Characterizing Early Stopout on Student Assignments. - Anthony F. Botelho; Ashvini Varatharaj; Eric G. Van Inwegen; Neil T. Heffernan (LAK, 2019)

Effect of Immediate Feedback on Math Achievement at the High School Level. - Renah Razzaq; Korinn S. Ostrow; Neil T. Heffernan (AIED (2), 2020)

Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features. - Ashvini Varatharaj; Anthony F. Botelho; Xiwen Lu; Neil T. Heffernan (AIED (1), 2020)

Context-Aware Attentive Knowledge Tracing. - Aritra Ghosh 001; Neil T. Heffernan; Andrew S. Lan (KDD, 2020)

Recent Advances in Multimodal Educational Data Mining in K-12 Education. - Zitao Liu 001; Songfan Yang; Jiliang Tang; Neil T. Heffernan; Rose Luckin (KDD, 2020)

The automated grading of student open responses in mathematics. - John A. Erickson; Anthony F. Botelho; Steven McAteer; Ashvini Varatharaj; Neil T. Heffernan (LAK, 2020)

Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms. - Thanaporn Patikorn; Neil T. Heffernan (L@S, 2020)

Workshop Proposal: Educational A/B Testing at Scale. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Burr Settles; Phillip Grimaldi; Derek Lomas (L@S, 2020)

Identifying Struggling Students by Comparing Online Tutor Clickstreams. - Ethan Prihar; Alexander Moore; Neil T. Heffernan (AIED (2), 2021)

Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. - Jia Tracy Shen; Michiharu Yamashita; Ethan Prihar; Neil T. Heffernan; Xintao Wu; Sean McGrew; Dongwon Lee 001 (AIED (1), 2021)

Fairness-aware Bandit-based Recommendation. - Wen Huang 003; Kevin Labille; Xintao Wu; Dongwon Lee 001; Neil T. Heffernan (IEEE BigData, 2021)

Improving Automated Scoring of Student Open Responses in Mathematics. - Sami Baral; Anthony F. Botelho; John A. Erickson; Priyanka Benachamardi; Neil T. Heffernan (EDM, 2021)

Is It Fair? Automated Open Response Grading. - John A. Erickson; Anthony F. Botelho; Zonglin Peng; Rui Huang; Meghana V. Kasal; Neil T. Heffernan (EDM, 2021)

A Novel Algorithm for Aggregating Crowdsourced Opinions. - Ethan Prihar; Neil T. Heffernan (EDM, 2021)

Estimating the Intelligent Tutor Effects on Specific Posttest Problems. - Adam Sales; Ethan Prihar; Neil T. Heffernan; John Pane (EDM, 2021)

Examining Student Effort on Help through Response Time Decomposition. - Ashish Gurung; Anthony F. Botelho; Neil T. Heffernan (LAK, 2021)

Using Past Data to Warm Start Active Machine Learning: Does Context Matter? - Shamya Karumbaiah; Andrew S. Lan; Sachit Nagpal; Ryan S. Baker 001; Anthony Botelho; Neil T. Heffernan (LAK, 2021)

Toward Personalizing Students' Education with Crowdsourced Tutoring. - Ethan Prihar; Thanaporn Patikorn; Anthony Botelho; Adam Sales; Neil T. Heffernan (L@S, 2021)

Second Workshop on Educational A/B Testing at Scale. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Derek Lomas; Klinton Bicknell (L@S, 2021)

Classifying Math KCs via Task-Adaptive Pre-Trained BERT. - Jia Tracy Shen; Michiharu Yamashita; Ethan Prihar; Neil T. Heffernan; Xintao Wu; Sean McGrew; Dongwon Lee 001 (CoRR, 2021)

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education. - Jia Tracy Shen; Michiharu Yamashita; Ethan Prihar; Neil T. Heffernan; Xintao Wu; Dongwon Lee 001 (CoRR, 2021)

Reinforcement Learning for Education: Opportunities and Challenges. - Adish Singla; Anna N. Rafferty; Goran Radanovic; Neil T. Heffernan (CoRR, 2021)

Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions. - Sami Baral; Karthik Seetharaman; Anthony F. Botelho; Anzhuo Wang; George T. Heineman; Neil T. Heffernan (AIED (1), 2022)

Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. - Anthony F. Botelho; Ethan Prihar; Neil T. Heffernan (AIED (1), 2022)

Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems. - Ashish Gurung; Neil T. Heffernan (AIED (2), 2022)

Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. - Aaron Haim; Ethan Prihar; Neil T. Heffernan (AIED (2), 2022)

More Powerful A/B Testing Using Auxiliary Data and Deep Learning. - Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Ashish Gurung; Neil T. Heffernan (AIED (2), 2022)

Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. - Aaron Haim; Neil T. Heffernan (EDM, 2022)

Identifying Explanations Within Student-Tutor Chat Logs. - Ethan Prihar; Alexander Moore; Neil T. Heffernan (EDM, 2022)

Exploring Common Trends in Online Educational Experiments. - Ethan Prihar; Manaal Syed; Korinn Ostrow; Stacy T. Shaw; Adam Sales; Neil T. Heffernan (EDM, 2022)

Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. - Raysa Rivera-Bergollo; Sami Baral; Anthony Botelho; Neil T. Heffernan (EDM, 2022)

Causal Inference in Educational Data Mining. - Adam Sales; Neil T. Heffernan (EDM, 2022)

Automatic Short Math Answer Grading via In-context Meta-learning. - Mengxue Zhang; Sami Baral; Neil T. Heffernan; Andrew S. Lan (EDM, 2022)

Human-Centered Learning Engineering for the Emerging Intelligence Augmentation Economy. - Jim Goodell; Neil T. Heffernan (HCI (49), 2022)

Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. - Ashish Gurung; Anthony Botelho; Russell Thompson; Adam Sales; Sami Baral; Neil T. Heffernan (ICCE, 2022)

Automatic Interpretable Personalized Learning. - Ethan Prihar; Aaron Haim; Adam Sales; Neil T. Heffernan (L@S, 2022)

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Derek Lomas; Ben Motz; Debshila Basu Mallick; Klinton Bicknell; Danielle S. McNamara; René F. Kizilcec; Jeremy Roschelle; Richard G. Baraniuk; Ryan Baker 001 (L@S, 2022)

Does automated reassesment & relearning improve math performance in comparison to traditional computer adaptive practice alone? - Renah Razzaq; Neil T. Heffernan; Manuel Gonsalves (Zenodo, 2022)

ahaim5357/10.17605-osf.io-zcbjx: ASSISTments: XPRIZE Digital Learning Challenge. - Aaron Haim; Li Cheng; Neil T. Heffernan (Zenodo, 2022)

Achieving User-Side Fairness in Contextual Bandits. - Wen Huang 003; Kevin Labille; Xintao Wu; Dongwon Lee 001; Neil T. Heffernan (Hum. Centric Intell. Syst., 2022)

Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages. - Sami Baral; Anthony F. Botelho; Abhishek Santhanam; Ashish Gurung; John A. Erickson; Neil T. Heffernan (AIED (Posters/Late Breaking Results/...), 2023)

Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. - Mingyu Feng; Neil T. Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy (AIED, 2023)

How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (AIED (Posters/Late Breaking Results/...), 2023)

Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models. - Ethan Prihar; Morgan P. Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil T. Heffernan (AIED (Posters/Late Breaking Results/...), 2023)

Auto-scoring Student Responses with Images in Mathematics. - Sami Baral; Anthony Botelho; Abhishek Santhanam; Ashish Gurung; Li Cheng; Neil T. Heffernan (EDM, 2023)

How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. - Aaron Haim; Robert Gyurcsan; Chris Baxter; Stacy T. Shaw; Neil T. Heffernan (EDM, 2023)

How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (EDM, 2023)

Knowledge Tracing Over Time: A Longitudinal Analysis. - Morgan P. Lee; Ethan A. Croteau; Ashish Gurung; Anthony F. Botelho; Neil T. Heffernan (EDM, 2023)

Effective Evaluation of Online Learning Interventions with Surrogate Measures. - Ethan Prihar; Kirk Vanacore; Adam Sales; Neil T. Heffernan (EDM, 2023)

Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. - Mengxue Zhang; Neil T. Heffernan; Andrew S. Lan (EDM, 2023)

Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? - Ashish Gurung; Sami Baral; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Anthony F. Botelho; Stacy T. Shaw; Neil T. Heffernan (LAK, 2023)

How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (LAK, 2023)

Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. - Kirk Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison S. Liu; Stacy T. Shaw; Neil T. Heffernan (LAK, 2023)

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Derek Lomas; Klinton Bicknell; Jeremy Roschelle; Ben Motz; Danielle S. McNamara; Richard G. Baraniuk; Debshila Basu Mallick; René F. Kizilcec; Ryan Baker 001; et al. (L@S, 2023)

How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. - Ashish Gurung; Sami Baral; Morgan P. Lee; Adam C. Sales; Aaron Haim; Kirk P. Vanacore; Andrew A. McReynolds; Hilary Kreisberg; Cristina Heffernan; Neil T. Heffernan (L@S, 2023)

How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. - Aaron Haim; Chris Baxter; Robert Gyurcsan; Stacy T. Shaw; Neil T. Heffernan (L@S, 2023)

How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community. - Aaron Haim; Stacy T. Shaw; Neil T. Heffernan (L@S, 2023)

Investigating the Impact of Skill-Related Videos on Online Learning. - Ethan Prihar; Aaron Haim; Tracy Jia Shen; Adam Sales; Dongwon Lee 001; Xintao Wu; Neil T. Heffernan (L@S, 2023)

A Bandit You Can Trust. - Ethan Prihar; Adam Sales; Neil T. Heffernan (UMAP, 2023)

Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics. - Anthony Botelho; Sami Baral; John A. Erickson; Priyanka Benachamardi; Neil T. Heffernan (J. Comput. Assist. Learn., 2023)

Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. - Aaron Haim; Stephen Hutt; Stacy T. Shaw; Neil T. Heffernan (AIED Companion (2), 2024)

The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. - Aaron Haim; Eamon Worden; Neil T. Heffernan (AIED Companion (2), 2024)

Automatic Short Answer Grading in College Mathematics Using In-Context Meta-learning: An Evaluation of the Transferability of Findings. - Michael Smalenberger; Elham Sohrabi; Mengxue Zhang; Sami Baral; Kelly Smalenberger; Andrew S. Lan; Neil T. Heffernan (AIED Companion (1), 2024)

Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? - Allison Wang; Ethan Prihar; Aaron Haim; Neil T. Heffernan (AIED Companion (2), 2024)

Causal Inference in Educational Data Mining. - Anthony F. Botelho; Avery Harrison Closser; Adam C. Sales; Neil T. Heffernan; Kirk P. Vanacore (EDM, 2024)

Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. - Aaron Haim; Stephen Hutt; Stacy T. Shaw; Neil T. Heffernan (EDM, 2024)

Leveraging Large Language Models for Next-Generation Educational Technologies. - Neil T. Heffernan; Rose E. Wang; Christopher MacLellan; Arto Hellas; Chenglu Li; Candace A. Walkington; Joshua Littenberg-Tobias; David Joyner; Steven Moore; Adish Singla; Zach A. Pardos; Maciej Pankiewicz; et al. (EDM, 2024)

From Reaction to Anticipation: Predicting Future Affect. - Andres Felipe Zambrano; Ryan S. Baker 001; Sami Baral; Neil T. Heffernan; Andrew S. Lan (EDM, 2024)

Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. - Ashish Gurung; Kirk Vanacore; Andrew A. McReynolds; Korinn S. Ostrow; Eamon Worden; Adam C. Sales; Neil T. Heffernan (LAK, 2024)

Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. - Morgan P. Lee; Abubakir Siedahmed; Neil T. Heffernan (LAK, 2024)

Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. - Hai Li; Chenglu Li; Wanli Xing; Sami Baral; Neil T. Heffernan (LAK, 2024)

The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. - Kirk Vanacore; Ashish Gurung; Adam Sales; Neil T. Heffernan (LAK, 2024)

Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; Stephen E. Fancsali; April Murphy; Neil T. Heffernan; Ben Motz; Debshila Basu Mallick; Jeremy Roschelle; Danielle S. McNamara; Joseph Jay Williams (L@S, 2024)

Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Neil T. Heffernan (L@S, 2024)

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. - Paul Denny 001; Sumit Gulwani; Neil T. Heffernan; Tanja Käser; Steven Moore; Anna N. Rafferty; Adish Singla (CoRR, 2024)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses. - Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil T. Heffernan (CoRR, 2024)

Concept Drift Detection for Knowledge Tracing. - Morgan P. Lee; Neil T. Heffernan (EDM, 2025)

Effect estimates using publicly available school-level data in a cluster-randomized educational experiment. - Adam Sales; Charlotte Z. Mann; Johann Gagnon-Bartsch; Neil T. Heffernan (EDM, 2025)

Nonstandard English and the Automated Scoring of Open-Ended Math Problems. - Abubakir Siedahmed; Jaclyn Ocumpaugh; Zelda Ferris; Dinesh Kodwani; Neil T. Heffernan; Eamon Worden (EDM, 2025)

CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. - Kirk Vanacore; Anthony F. Botelho; Avery Closer; Adam Sales; Neil T. Heffernan (EDM, 2025)

Algorithm Appreciation in Education: Educators Prefer Complex over Simple Algorithms. - Kimberly Williamson; René F. Kizilcec; Sean Fath; Neil T. Heffernan (LAK, 2025)

DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images. - Sami Baral; Li Lucy; Ryan Knight; Alice Ng; Luca Soldaini; Neil T. Heffernan; Kyle Lo (NAACL (Long Papers), 2025)

The Karp Dataset. - Mason DiCicco; Eamon Worden; Conner Olsen; Nikhil Gangaram; Daniel Reichman 001; Neil T. Heffernan (CoRR, 2025)

Math-LLMs: AI Cyberinfrastructure with Pre-trained Transformers for Math Education. - Fan Zhang 118; Chenglu Li; Owen Henkel; Wanli Xing; Sami Baral; Neil T. Heffernan; Hai Li (Int. J. Artif. Intell. Educ., 2025)