| 2026 | AIED | A Multi-agent Approach to Validate and Refine LLM-Generated Personalized Math Problems. | Fareya Ikram, Nischal Ashok Kumar, Junyang Lu, Hunter McNichols, Candace A. Walkington, Neil T. Heffernan, Andrew S. Lan |
| 2026 | AIED | FoundationalASSIST: Dataset for Foundational Knowledge Tracing & Pedagogical Grounding of Large Language Models. | Eamon Worden, Cristina Heffernan, Neil T. Heffernan, Shashank Sonkar |
| 2026 | AIED | Short, Long, or Affective: Evaluating LLM-Generated Feedback Styles for Student Learning. | Eamon Worden, Morgan P. Lee, Abubakir Siedahmed, Adam Sales, Jiayi Zhang, Roee Shraga, Neil T. Heffernan |
| 2025 | AIED | Improving Student Support Personalization with Historical Data and Theoretically Informed Feature Choice. | Morgan P. Lee, Neil T. Heffernan |
| 2025 | AIED | Leveraging Multi-modality and Collaborative Filtering for Supporting Automatic Scoring in Mathematics Education. | Hai Li, Wanli Xing, Wangda Zhu, Chenglu Li, Bailing Lyu, Zifeng Liu, Neil T. Heffernan |
| 2025 | AIED | Evaluating the Impact of LLM-Generated Assignment Report Summaries in Intelligent Tutoring Systems. | Wen-Chiang Ivan Lim, Neil T. Heffernan |
| 2025 | AIED | Augmenting LLM Generated Feedback with Data Mining. | Eamon Worden, Neil T. Heffernan |
| 2025 | EDM | Concept Drift Detection for Knowledge Tracing. | Morgan P. Lee, Neil T. Heffernan |
| 2025 | EDM | 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 |
| 2025 | EDM | Nonstandard English and the Automated Scoring of Open-Ended Math Problems. | Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil T. Heffernan, Eamon Worden |
| 2025 | EDM | CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. | Kirk Vanacore, Anthony F. Botelho, Avery Closser, Adam Sales, Neil T. Heffernan |
| 2025 | LAK | Algorithm Appreciation in Education: Educators Prefer Complex over Simple Algorithms. | Kimberly Williamson, Ren F. Kizilcec, Sean Fath, Neil T. Heffernan |
| 2025 | NAACL | 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 |
| 2024 | AIED | Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. | Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan |
| 2024 | AIED | The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. | Aaron Haim, Eamon Worden, Neil T. Heffernan |
| 2024 | AIED | 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 |
| 2024 | AIED | Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? | Allison Wang, Ethan Prihar, Aaron Haim, Neil T. Heffernan |
| 2024 | EDM | Causal Inference in Educational Data Mining. | Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore |
| 2024 | EDM | 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 |
| 2024 | EDM | 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, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Kser, Eamon Worden |
| 2024 | EDM | From Reaction to Anticipation: Predicting Future Affect. | Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil T. Heffernan, Andrew S. Lan |
| 2024 | LAK | 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 |
| 2024 | LAK | Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. | Morgan P. Lee, Abubakir Siedahmed, Neil T. Heffernan |
| 2024 | LAK | Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. | Hai Li, Chenglu Li, Wanli Xing, Sami Baral, Neil T. Heffernan |
| 2024 | LAK | 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 |
| 2023 | AIED | 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 |
| 2023 | AIED | 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 |
| 2023 | AIED | How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. | Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | AIED | 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 |
| 2023 | EDM | Auto-scoring Student Responses with Images in Mathematics. | Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan |
| 2023 | EDM | How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. | Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | EDM | How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. | Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | EDM | Knowledge Tracing Over Time: A Longitudinal Analysis. | Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan |
| 2023 | EDM | Effective Evaluation of Online Learning Interventions with Surrogate Measures. | Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan |
| 2023 | EDM | Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. | Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan |
| 2023 | LAK | 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 |
| 2023 | LAK | How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. | Aaron Haim, Stacy T. Shaw, Neil T. Heffernan |
| 2023 | LAK | 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 |
| 2022 | AIED | 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 |
| 2022 | AIED | Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. | Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan |
| 2022 | AIED | Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems. | Ashish Gurung, Neil T. Heffernan |
| 2022 | AIED | Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. | Aaron Haim, Ethan Prihar, Neil T. Heffernan |
| 2022 | AIED | More Powerful A/B Testing Using Auxiliary Data and Deep Learning. | Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan |
| 2022 | EDM | Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. | Aaron Haim, Neil T. Heffernan |
| 2022 | EDM | Identifying Explanations Within Student-Tutor Chat Logs. | Ethan Prihar, Alexander Moore, Neil T. Heffernan |
| 2022 | EDM | Exploring Common Trends in Online Educational Experiments. | Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan |
| 2022 | EDM | Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. | Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil T. Heffernan |
| 2022 | EDM | Causal Inference in Educational Data Mining. | Adam Sales, Neil T. Heffernan |
| 2022 | EDM | Automatic Short Math Answer Grading via In-context Meta-learning. | Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan |
| 2022 | HCI | Human-Centered Learning Engineering for the Emerging Intelligence Augmentation Economy. | Jim Goodell, Neil T. Heffernan |
| 2022 | ICCE | Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. | Ashish Gurung, Anthony Botelho, Russell Thompson, Adam Sales, Sami Baral, Neil T. Heffernan |
| 2021 | AIED | Identifying Struggling Students by Comparing Online Tutor Clickstreams. | Ethan Prihar, Alexander Moore, Neil T. Heffernan |
| 2021 | AIED | 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 |
| 2021 | EDM | Improving Automated Scoring of Student Open Responses in Mathematics. | Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan |
| 2021 | EDM | Is It Fair? Automated Open Response Grading. | John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan |
| 2021 | EDM | A Novel Algorithm for Aggregating Crowdsourced Opinions. | Ethan Prihar, Neil T. Heffernan |
| 2021 | EDM | Estimating the Intelligent Tutor Effects on Specific Posttest Problems. | Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane |
| 2021 | LAK | Examining Student Effort on Help through Response Time Decomposition. | Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan |
| 2021 | LAK | Using Past Data to Warm Start Active Machine Learning: Does Context Matter? | Shamya Karumbaiah, Andrew S. Lan, Sachit Nagpal, Ryan S. Baker, Anthony Botelho, Neil T. Heffernan |
| 2020 | AIED | Effect of Immediate Feedback on Math Achievement at the High School Level. | Renah Razzaq, Korinn S. Ostrow, Neil T. Heffernan |
| 2020 | AIED | Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features. | Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan |
| 2020 | KDD | Context-Aware Attentive Knowledge Tracing. | Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan |
| 2020 | KDD | Recent Advances in Multimodal Educational Data Mining in K-12 Education. | Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin |
| 2020 | LAK | The automated grading of student open responses in mathematics. | John A. Erickson, Anthony F. Botelho, Steven McAteer, Ashvini Varatharaj, Neil T. Heffernan |
| 2019 | AIED | Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts. | Thanaporn Patikorn, David Deisadze, Leo Grande, Ziyang Yu, Neil T. Heffernan |
| 2019 | CSEDU | Understanding the Complexities of Chinese Word Acquisition within an Online Learning Platform. | Xiwen Lu, Korinn S. Ostrow, Neil T. Heffernan |
| 2019 | EDM | Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. | Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan |
| 2019 | EDM | Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. | Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan |
| 2019 | EDM | Active Learning for Student Affect Detection. | Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan |
| 2019 | LAK | Refusing to Try: Characterizing Early Stopout on Student Assignments. | Anthony F. Botelho, Ashvini Varatharaj, Eric G. Van Inwegen, Neil T. Heffernan |
| 2018 | AIED | Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments. | Korinn S. Ostrow, Neil T. Heffernan |
| 2018 | EDM | Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. | Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan |
| 2018 | EDM | Using Big Data to Sharpen Design-Based Inference in A/B Tests. | Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan |
| 2018 | EuroPLop | 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 |
| 2017 | ACII | Using natural language processing tools to develop complex models of student engagement. | Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Victoria Almeda, Laura K. Allen, Neil T. Heffernan |
| 2017 | AIED | Improving Sensor-Free Affect Detection Using Deep Learning. | Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan |
| 2017 | EDM | Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. | Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan |
| 2017 | EDM | Modeling Wheel-spinning and Productive Persistence in Skill Builders. | Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan |
| 2017 | EDM | An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect. | Thanaporn Patikorn, Neil T. Heffernan, Jian Zou |
| 2017 | EDM | Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. | Thanaporn Patikorn, Douglas Selent, Neil T. Heffernan, Joseph Beck, Jian Zou |
| 2017 | EDM | 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 |
| 2017 | EDM | Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks. | Siyuan Zhao, Neil T. Heffernan |
| 2017 | EuroPLop | Feedback Design Patterns for Math Online Learning Systems. | Paul Salvador Inventado, Peter Scupelli, Cristina Heffernan, Neil T. Heffernan |
| 2017 | LAK | Sequencing content in an adaptive testing system: the role of choice. | Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan |
| 2017 | LAK | Guidance counselor reports of the ASSISTments college prediction model (ACPM). | Jaclyn Ocumpaugh, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, M. Aaron Hawn, Cristina Heffernan, Neil T. Heffernan, Stefan A. Slater |
| 2017 | LAK | Using correlational topic modeling for automated topic identification in intelligent tutoring systems. | Stefan Slater, Ryan S. Baker, Ma. Victoria Almeda, Alex J. Bowers, Neil T. Heffernan |
| 2016 | EDM | 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 |
| 2016 | EDM | Semantic Features of Math Problems: Relationships to Student Learning and Engagement. | Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Peter Scupelli, Paul Salvador Inventado, Neil T. Heffernan |
| 2016 | EDM | Discovering 'Tough Love' Interventions Despite Dropout. | Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang |
| 2016 | LAK | 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 |
| 2016 | LAK | The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. | Korinn S. Ostrow, Douglas Selent, Yan Wang, Eric Van Inwegen, Neil T. Heffernan, Joseph Jay Williams |
| 2016 | LAK | Enhancing the efficiency and reliability of group differentiation through partial credit. | Yan Wang, Korinn Ostrow, Joseph Beck, Neil T. Heffernan |
| 2015 | AIED | Improving Learning Maps Using an Adaptive Testing System: PLACEments. | Seth Akonor Adjei, Neil T. Heffernan |
| 2015 | AIED | 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 |
| 2015 | AIED | Developing Self-regulated Learners Through an Intelligent Tutoring System. | Kim M. Kelly, Neil T. Heffernan |
| 2015 | AIED | The Role of Student Choice Within Adaptive Tutoring. | Korinn S. Ostrow, Neil T. Heffernan |
| 2015 | AIED | Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework. | Korinn Ostrow, Neil T. Heffernan, Cristina Heffernan, Zoe Peterson |
| 2015 | AIED | When More Intelligent Tutoring in the Form of Buggy Messages Does not Help. | Douglas Selent, Neil T. Heffernan |
| 2015 | CSCW | Connecting Collaborative & Crowd Work with Online Education. | Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan |
| 2015 | EDM | Grand Challenges for EDM and Related Research Areas. | Ryan S. Baker, Peter Brusilovsky, Dragan Gasevic, Neil T. Heffernan, Mykola Pechenizkiy, Alyssa Friend Wise |
| 2015 | EDM | Predicting Student Aptitude Using Performance History. | Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan |
| 2015 | EDM | Building Models to Predict Hint-or-Attempt Actions of Students. | Francisco Enrique Vicente Castro, Seth Adjei, Tyler Colombo, Neil T. Heffernan |
| 2015 | EDM | Using Partial Credit and Response History to Model User Knowledge. | Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan |
| 2015 | EDM | The Effect of the Distribution of Predictions of User Models. | Eric Van Inwegen, Yan Wang, Seth Adjei, Neil T. Heffernan |
| 2015 | EDM | Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses. | Kim M. Kelly, Yan Wang, Tamisha Thompson, Neil T. Heffernan |
| 2015 | EDM | The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. | Charles Lang, Neil T. Heffernan, Korinn Ostrow, Yutao Wang |
| 2015 | EDM | Optimizing Partial Credit Algorithms to Predict Student Performance. | Korinn Ostrow, Christopher Donnelly, Neil T. Heffernan |
| 2015 | EDM | Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement. | Maria Ofelia San Pedro, Erica L. Snow, Ryan S. Baker, Danielle S. McNamara, Neil T. Heffernan |
| 2015 | LAK | An analysis of the impact of action order on future performance: the fine-grain action model. | Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan |
| 2015 | LAK | 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 |
| 2015 | LAK | Towards better affect detectors: effect of missing skills, class features and common wrong answers. | Yutao Wang, Neil T. Heffernan, Cristina Heffernan |
| 2014 | EDM | 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 |
| 2014 | EDM | Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing. | William J. Hawkins, Neil T. Heffernan |
| 2014 | EDM | 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 |
| 2014 | EDM | 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, Neil T. Heffernan |
| 2014 | EDM | Improving Retention Performance Prediction with Prerequisite Skill Features. | Xiaolu Xiong, Seth Adjei, Neil T. Heffernan |
| 2014 | EDM | The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. | Linglong Zhu, Yutao Wang, Neil T. Heffernan |
| 2014 | ITS | 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 |
| 2014 | ITS | Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate? | Junjie Gu, Yutao Wang, Neil T. Heffernan |
| 2014 | ITS | Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities. | William J. Hawkins, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker |
| 2014 | ITS | Reducing Student Hint Use by Creating Buggy Messages from Machine Learned Incorrect Processes. | Douglas Selent, Neil T. Heffernan |
| 2014 | ITS | The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics. | Yutao Wang, Neil T. Heffernan |
| 2013 | ACII | Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)? | William Hawkins, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker |
| 2013 | AIED | Estimating the Effect of Web-Based Homework. | Kim M. Kelly, Neil T. Heffernan, Cristina Heffernan, Susan R. Goldman, James Pellegrino, Deena Soffer Goldstein |
| 2013 | AIED | Estimating the Effect of Web-Based Homework. | Kim M. Kelly, Neil T. Heffernan, Cristina Heffernan, Susan R. Goldman, James Pellegrino, Deena Soffer Goldstein |
| 2013 | AIED | 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 |
| 2013 | AIED | Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes. | Yutao Wang, Neil T. Heffernan |
| 2013 | AIED | A Comparison of Two Different Methods to Individualize Students and Skills. | Yutao Wang, Neil T. Heffernan |
| 2013 | EDM | 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 |
| 2013 | EDM | 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 |
| 2013 | EDM | Extending the Assistance Model: Analyzing the Use of Assistance over Time. | William Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker |
| 2013 | EDM | Using ITS Generated Data to Predict Standardized Test Scores. | Kim M. Kelly, Ivon Arroyo, Neil T. Heffernan |
| 2013 | EDM | 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 |
| 2013 | FlAIRS | Does Immediate Feedback While Doing Homework Improve Learning? | Paul Kehrer, Kim M. Kelly, Neil T. Heffernan |
| 2013 | FlAIRS | Added Teacher-Created Motiational Video to an ITS. | Kim M. Kelly, Neil T. Heffernan, Sidney K. D'Mello, Jeffrey Namais, Amber Chauncey Strain |
| 2013 | FlAIRS | Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. | Fei Song, Shubhendu Trivedi, Yutao Wang, Gbor N. Srkzy, Neil T. Heffernan |
| 2012 | EDM | Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction. | Shubhendu Trivedi, Zachary A. Pardos, Gbor N. Srkzy, Neil T. Heffernan |
| 2012 | EDM | Leveraging First Response Time into the Knowledge Tracing Model. | Yutao Wang, Neil T. Heffernan |
| 2012 | FlAIRS | Tutor Modeling Versus Student Modeling. | Zachary A. Pardos, Neil T. Heffernan |
| 2012 | FlAIRS | Towards Data Driven Model Improvement. | Yumeng Qiu, Zachary A. Pardos, Neil T. Heffernan |
| 2012 | ITS | WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching. | Yue Gong, Joseph E. Beck, Neil T. Heffernan |
| 2012 | ITS | Clustered Knowledge Tracing. | Zachary A. Pardos, Shubhendu Trivedi, Neil T. Heffernan, Gbor N. Srkzy |
| 2012 | ITS | The Student Skill Model. | Yutao Wang, Neil T. Heffernan |
| 2011 | ADBIS | Automatic Physical Database Tuning Middleware for Web-Based Applications. | Jozsef Patvarczki, Neil T. Heffernan |
| 2011 | AIED | Feedback during Web-Based Homework: The Role of Hints. | Ravi Singh, Muhammad Saleem, Prabodha Pradhan, Cristina Heffernan, Neil T. Heffernan, Leena M. Razzaq, Matthew D. Dailey, Cristine O'Connor, Courtney Mulcahy |
| 2011 | AIED | Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions. | Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan |
| 2011 | EDM | Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. | Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan |
| 2011 | EDM | 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 |
| 2011 | EDM | 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 |
| 2011 | EDM | Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing. | Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary A. Pardos, Neil T. Heffernan |
| 2011 | EDM | Spectral Clustering in Educational Data Mining. | Shubhendu Trivedi, Zachary A. Pardos, Gbor N. Srkzy, Neil T. Heffernan |
| 2011 | EDM | Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. | Yutao Wang, Neil T. Heffernan |
| 2011 | FlAIRS | The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs. | Yutao Wang, Neil T. Heffernan |
| 2010 | EDM | 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 |
| 2010 | EDM | Pinpointing Learning Moments; A finer grain P(J) model. | Adam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan |
| 2010 | EDM | Using multiple Dirichlet distributions to improve parameter plausibility. | Yue Gong, Joseph E. Beck, Neil T. Heffernan |
| 2010 | EDM | Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm. | Zachary A. Pardos, Neil T. Heffernan |
| 2010 | EDM | Representing Student Performance with Partial Credit. | Yutao Wang, Neil T. Heffernan, Joseph E. Beck |
| 2010 | ITS | Detecting the Moment of Learning. | Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan |
| 2010 | ITS | 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 |
| 2010 | ITS | Using Data Mining Findings to Aid Searching for Better Cognitive Models. | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger |
| 2010 | ITS | Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures. | Yue Gong, Joseph E. Beck, Neil T. Heffernan |
| 2010 | ITS | The Fine-Grained Impact of Gaming (?) on Learning. | Yue Gong, Joseph E. Beck, Neil T. Heffernan, Elijah Forbes-Summers |
| 2010 | ITS | Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data. | Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan |
| 2010 | ITS | Coordinate Geometry Learning Environment with Game-Like Properties. | Dovan Rai, Joseph E. Beck, Neil T. Heffernan |
| 2010 | ITS | Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties. | Dovan Rai, Joseph E. Beck, Neil T. Heffernan |
| 2010 | ITS | A Coordinate Geometry Learning Environment with Game-Like Properties. | Dovan Rai, Joseph E. Beck, Neil T. Heffernan |
| 2010 | ITS | Hints: Is It Better to Give or Wait to Be Asked? | Leena M. Razzaq, Neil T. Heffernan |
| 2009 | ADBIS | Performance Driven Database Design for Scalable Web Applications. | Jozsef Patvarczki, Murali Mani, Neil T. Heffernan |
| 2009 | AIED | Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck |
| 2009 | AIED | Detecting the Learning Value of Items In a Randomized Problem Set. | Zachary A. Pardos, Neil T. Heffernan |
| 2009 | AIED | To Tutor or Not to Tutor: That is the Question. | Leena M. Razzaq, Neil T. Heffernan |
| 2009 | EDM | Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. | Mingyu Feng, Joseph Beck, Neil T. Heffernan |
| 2009 | EDM | Does Self-Discipline impact students' knowledge and learning?. | Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan |
| 2009 | EDM | Determining the Significance of Item Order In Randomized Problem Sets. | Zachary A. Pardos, Neil T. Heffernan |
| 2008 | CHI | Towards designing a user-adaptive web-based e-learning system. | Leena M. Razzaq, Neil T. Heffernan |
| 2008 | EDM | 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 |
| 2008 | EDM | Can we predict which groups of questions students will learn from?. | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger |
| 2008 | EDM | 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 |
| 2008 | ITS | Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?. | Yu Guo, Joseph E. Beck, Neil T. Heffernan |
| 2008 | ITS | Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System. | Jozsef Patvarczki, Shane F. Almeida, Joseph E. Beck, Neil T. Heffernan |
| 2008 | ITS | Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance. | Leena M. Razzaq, Michael Mendicino, Neil T. Heffernan |
| 2007 | AIED | Educational Data Mining Workshop. | Cecily Heiner, Neil T. Heffernan, Tiffany Barnes |
| 2007 | AIED | Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. | Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan |
| 2007 | AIED | What Level of Tutor Interaction is Best? | Leena M. Razzaq, Neil T. Heffernan, Robert W. Lindeman |
| 2007 | AIED | The Distribution of Student Errors Across Schools: An Initial Study. | Rob R. Weitz, Neil T. Heffernan, Viswanathan Kodaganallur, David Rosenthal |
| 2007 | ICALT | FM and Web Broadcasting Systems for Mobile Language Listening. | Shudong Wang, Neil T. Heffernan |
| 2006 | FlAIRS | 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 |
| 2006 | ITS | Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger |
| 2006 | ITS | Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods. | Kevin Kardian, Neil T. Heffernan |
| 2006 | ITS | Scaffolding vs. Hints in the Assistment System. | Leena M. Razzaq, Neil T. Heffernan |
| 2006 | ITS | Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems. | Jason A. Walonoski, Neil T. Heffernan |
| 2006 | ITS | Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems. | Jason A. Walonoski, Neil T. Heffernan |
| 2006 | WWW | Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger |
| 2005 | AIED | The eXtensible Tutor Architecture: A New Foundation for ITS. | Goss Nuzzo-Jones, Jason A. Walonoski, Neil T. Heffernan, Tom Livak |
| 2005 | AIED | Blending Assessment and Instructional Assisting. | 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 |
| 2005 | AIED | Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. | Carolyn Penstein Ros, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan |
| 2005 | AIED | The Assistment Builder: A Rapid Development Tool for ITS. | Terrence E. Turner, Michael A. Macasek, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger |
| 2004 | ITS | 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 |
| 2004 | ITS | Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor. | Neil T. Heffernan, Ethan A. Croteau |
| 2004 | ITS | 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, Pamela W. Jordan, Diane J. Litman, Evelyn Lulis, Helen Pain, Carolyn P. Ros, Beverly Park Woolf, Claus Zinn |
| 2004 | ITS | Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems. | Matthew P. Jarvis, Goss Nuzzo-Jones, Neil T. Heffernan |
| 2004 | ITS | 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 |
| 2004 | ITS | Tutorial Dialog in an Equation Solving Intelligent Tutoring System. | Leena M. Razzaq, Neil T. Heffernan |
| 2002 | ITS | An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor. | Neil T. Heffernan, Kenneth R. Koedinger |
| 1998 | CHI | Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors. | Neil T. Heffernan |