Neil T. Heffernan

274 papers A* 3A 51B 136C 3Misc 9Journal 33Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs. CoRR Eamon Worden, Cristina Heffernan, Neil T. Heffernan, Shashank Sonkar
2025	A	`conf`	Algorithm Appreciation in Education: Educators Prefer Complex over Simple Algorithms. LAK Kimberly Williamson, René F. Kizilcec, Sean Fath, Neil T. Heffernan
2025	—	`conf`	Augmenting LLM Generated Feedback with Data Mining. AIED Companion (1) Eamon Worden, Neil T. Heffernan
2025	B	`conf`	CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes. EDM Kirk Vanacore, Anthony F. Botelho, Avery Closser, Adam Sales, Neil T. Heffernan
2025	B	`conf`	Concept Drift Detection for Knowledge Tracing. EDM Morgan P. Lee, Neil T. Heffernan
2025	—	`conf`	DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images. NAACL (Long Papers) Sami Baral, Li Lucy, Ryan Knight, Alice Ng, Luca Soldaini, Neil T. Heffernan, Kyle Lo
2025	J	`jnl`	DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images. CoRR Sami Baral, Li Lucy, Ryan Knight, Alice Ng, Luca Soldaini, Neil T. Heffernan, Kyle Lo
2025	B	`conf`	Effect estimates using publicly available school-level data in a cluster-randomized educational experiment. EDM Adam Sales, Charlotte Z. Mann, Johann Gagnon-Bartsch, Neil T. Heffernan
2025	—	`conf`	Evaluating the Impact of LLM-Generated Assignment Report Summaries in Intelligent Tutoring Systems. AIED Companion (1) Wen-Chiang Ivan Lim, Neil T. Heffernan
2025	—	`conf`	Improving Student Support Personalization with Historical Data and Theoretically Informed Feature Choice. AIED Companion (1) Morgan P. Lee, Neil T. Heffernan
2025	J	`jnl`	Investigating the Robustness of Knowledge Tracing Models in the Presence of Student Concept Drift. CoRR Morgan P. Lee, Artem Frenk, Eamon Worden, Karish Gupta, Thinh Pham, Ethan A. Croteau, Neil T. Heffernan
2025	—	`conf`	Leveraging Multi-modality and Collaborative Filtering for Supporting Automatic Scoring in Mathematics Education. AIED Companion (2) Hai Li, Wanli Xing, Wangda Zhu, Chenglu Li, Bailing Lyu, Zifeng Liu, Neil T. Heffernan
2025	J	`jnl`	Math-LLMs: AI Cyberinfrastructure with Pre-trained Transformers for Math Education. Int. J. Artif. Intell. Educ. Fan Zhang, Chenglu Li, Owen Henkel, Wanli Xing, Sami Baral, Neil T. Heffernan, Hai Li
2025	B	`conf`	Nonstandard English and the Automated Scoring of Open-Ended Math Problems. EDM Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil T. Heffernan, Eamon Worden
2025	J	`jnl`	The Karp Dataset. CoRR Mason DiCicco, Eamon Worden, Conner Olsen, Nikhil Gangaram, Daniel Reichman, Neil T. Heffernan
2024	A	`conf`	Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. LAK Hai Li, Chenglu Li, Wanli Xing, Sami Baral, Neil T. Heffernan
2024	J	`jnl`	Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses. CoRR Sami Baral, Eamon Worden, Wen-Chiang Lim, Zhuang Luo, Christopher Santorelli, Ashish Gurung, Neil T. Heffernan
2024	—	`conf`	Automatic Short Answer Grading in College Mathematics Using In-Context Meta-learning: An Evaluation of the Transferability of Findings. AIED Companion (1) Michael Smalenberger, Elham Sohrabi, Mengxue Zhang, Sami Baral, Kelly Smalenberger, Andrew S. Lan, Neil T. Heffernan
2024	—	`conf`	Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? AIED Companion (2) Allison Wang, Ethan Prihar, Aaron Haim, Neil T. Heffernan
2024	B	`conf`	Causal Inference in Educational Data Mining. EDM Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore
2024	A	`conf`	Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. LAK Morgan P. Lee, Abubakir Siedahmed, Neil T. Heffernan
2024	B	`conf`	Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S Steven Ritter, Stephen E. Fancsali, April Murphy, Neil T. Heffernan, Ben Motz, Debshila Basu Mallick, Jeremy Roschelle, Danielle S. McNamara, Joseph Jay Williams
2024	B	`conf`	From Reaction to Anticipation: Predicting Future Affect. EDM Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil T. Heffernan, Andrew S. Lan
2024	J	`jnl`	Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
2024	—	`ed.`	Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024. HEXED/L3MNGET@EDM Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024	B	`conf`	Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 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 Käser, Eamon Worden
2024	A	`conf`	Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. LAK Ashish Gurung, Kirk Vanacore, Andrew A. McReynolds, Korinn S. Ostrow, Eamon Worden, Adam C. Sales, Neil T. Heffernan
2024	B	`conf`	Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. L@S Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Neil T. Heffernan
2024	—	`conf`	Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. AIED Companion (2) Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan
2024	B	`conf`	Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers. EDM Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan
2024	A	`conf`	The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. LAK Kirk Vanacore, Ashish Gurung, Adam Sales, Neil T. Heffernan
2024	—	`conf`	The Effectiveness of AI Generated, On-Demand Assistance Within Online Learning Platforms. AIED Companion (2) Aaron Haim, Eamon Worden, Neil T. Heffernan
2023	A	`conf`	A Bandit You Can Trust. UMAP Ethan Prihar, Adam Sales, Neil T. Heffernan
2023	B	`conf`	Auto-scoring Student Responses with Images in Mathematics. EDM Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan
2023	—	`conf`	Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models. AIED (Posters/Late Breaking Results/...) Ethan Prihar, Morgan P. Lee, Mia Hopman, Adam Tauman Kalai, Sofia Vempala, Allison Wang, Gabriel Wickline, Aly Murray, Neil T. Heffernan
2023	B	`conf`	Effective Evaluation of Online Learning Interventions with Surrogate Measures. EDM Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan
2023	B	`conf`	Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S Steven Ritter, 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, Stephen Fancsali, April Murphy
2023	B	`conf`	How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. L@S 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
2023	A	`conf`	How to Open Science: A Principle and Reproducibility Review of the Learning Analytics and Knowledge Conference. LAK Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023	B	`conf`	How to Open Science: Analyzing the Open Science Statement Compliance of the Learning @ Scale Conference. L@S Aaron Haim, Chris Baxter, Robert Gyurcsan, Stacy T. Shaw, Neil T. Heffernan
2023	B	`conf`	How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. EDM Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan
2023	—	`conf`	How to Open Science: Promoting Principles and Reproducibility Practices Within the Artificial Intelligence in Education Community. AIED (Posters/Late Breaking Results/...) Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023	B	`conf`	How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. EDM Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023	B	`conf`	How to Open Science: Promoting Principles and Reproducibility Practices within the Learning @ Scale Community. L@S Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023	A	`conf`	Identification, Exploration, and Remediation: Can Teachers Predict Common Wrong Answers? LAK Ashish Gurung, Sami Baral, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Anthony F. Botelho, Stacy T. Shaw, Neil T. Heffernan
2023	A	`conf`	Impact of Non-Cognitive Interventions on Student Learning Behaviors and Outcomes: An analysis of seven large-scale experimental inventions. LAK Kirk Vanacore, Ashish Gurung, Andrew A. McReynolds, Allison S. Liu, Stacy T. Shaw, Neil T. Heffernan
2023	A	`conf`	Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. AIED Mingyu Feng, Neil T. Heffernan, Kelly Collins, Cristina Heffernan, Robert F. Murphy
2023	—	`conf`	Investigating Patterns of Tone and Sentiment in Teacher Written Feedback Messages. AIED (Posters/Late Breaking Results/...) Sami Baral, Anthony F. Botelho, Abhishek Santhanam, Ashish Gurung, John A. Erickson, Neil T. Heffernan
2023	B	`conf`	Investigating the Impact of Skill-Related Videos on Online Learning. L@S Ethan Prihar, Aaron Haim, Tracy Jia Shen, Adam Sales, Dongwon Lee, Xintao Wu, Neil T. Heffernan
2023	B	`conf`	Knowledge Tracing Over Time: A Longitudinal Analysis. EDM Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan
2023	J	`jnl`	Leveraging natural language processing to support automated assessment and feedback for student open responses in mathematics. J. Comput. Assist. Learn. Anthony Botelho, Sami Baral, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan
2023	B	`conf`	Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. EDM Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan
2023	J	`jnl`	Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. CoRR Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan
2022	J	`jnl`	Achieving User-Side Fairness in Contextual Bandits. Hum. Centric Intell. Syst. Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
2022	B	`conf`	Automatic Interpretable Personalized Learning. L@S Ethan Prihar, Aaron Haim, Adam Sales, Neil T. Heffernan
2022	B	`conf`	Automatic Short Math Answer Grading via In-context Meta-learning. EDM Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan
2022	J	`jnl`	Automatic Short Math Answer Grading via In-context Meta-learning. CoRR Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan
2022	B	`conf`	Causal Inference in Educational Data Mining. EDM Adam Sales, Neil T. Heffernan
2022	C	`conf`	Considerate, Unfair, or Just Fatigued? Examining Factors that Impact Teacher. ICCE Ashish Gurung, Anthony Botelho, Russell Thompson, Adam Sales, Sami Baral, Neil T. Heffernan
2022	—	`conf`	Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. AIED (1) Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan
2022	—	`conf`	Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions. AIED (1) Sami Baral, Karthik Seetharaman, Anthony F. Botelho, Anzhuo Wang, George T. Heineman, Neil T. Heffernan
2022	B	`conf`	Exploring Common Trends in Online Educational Experiments. EDM Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan
2022	—	`conf`	Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems. AIED (2) Ashish Gurung, Neil T. Heffernan
2022	—	`conf`	Human-Centered Learning Engineering for the Emerging Intelligence Augmentation Economy. HCI (49) Jim Goodell, Neil T. Heffernan
2022	B	`conf`	Identifying Explanations Within Student-Tutor Chat Logs. EDM Ethan Prihar, Alexander Moore, Neil T. Heffernan
2022	B	`conf`	Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. EDM Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil T. Heffernan
2022	—	`conf`	More Powerful A/B Testing Using Auxiliary Data and Deep Learning. AIED (2) Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan
2022	B	`conf`	Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. EDM Aaron Haim, Neil T. Heffernan
2022	B	`conf`	Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S Steven Ritter, 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
2022	—	`conf`	Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. AIED (2) Aaron Haim, Ethan Prihar, Neil T. Heffernan
2021	B	`conf`	A Novel Algorithm for Aggregating Crowdsourced Opinions. EDM Ethan Prihar, Neil T. Heffernan
2021	J	`jnl`	Classifying Math KCs via Task-Adaptive Pre-Trained BERT. CoRR Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
2021	—	`conf`	Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. AIED (1) Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee
2021	B	`conf`	Estimating the Intelligent Tutor Effects on Specific Posttest Problems. EDM Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane
2021	A	`conf`	Examining Student Effort on Help through Response Time Decomposition. LAK Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan
2021	—	`conf`	Fairness-aware Bandit-based Recommendation. IEEE BigData Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
2021	—	`conf`	Identifying Struggling Students by Comparing Online Tutor Clickstreams. AIED (2) Ethan Prihar, Alexander Moore, Neil T. Heffernan
2021	B	`conf`	Improving Automated Scoring of Student Open Responses in Mathematics. EDM Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan
2021	B	`conf`	Is It Fair? Automated Open Response Grading. EDM John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan
2021	J	`jnl`	MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education. CoRR Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Dongwon Lee
2021	J	`jnl`	Reinforcement Learning for Education: Opportunities and Challenges. CoRR Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan
2021	B	`conf`	Second Workshop on Educational A/B Testing at Scale. L@S Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell
2021	B	`conf`	Toward Personalizing Students' Education with Crowdsourced Tutoring. L@S Ethan Prihar, Thanaporn Patikorn, Anthony Botelho, Adam Sales, Neil T. Heffernan
2021	A	`conf`	Using Past Data to Warm Start Active Machine Learning: Does Context Matter? LAK Shamya Karumbaiah, Andrew S. Lan, Sachit Nagpal, Ryan S. Baker, Anthony Botelho, Neil T. Heffernan
2020	J	`jnl`	Achieving User-Side Fairness in Contextual Bandits. CoRR Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
2020	A*	`conf`	Context-Aware Attentive Knowledge Tracing. KDD Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan
2020	J	`jnl`	Context-Aware Attentive Knowledge Tracing. CoRR Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan
2020	—	`conf`	Effect of Immediate Feedback on Math Achievement at the High School Level. AIED (2) Renah Razzaq, Korinn S. Ostrow, Neil T. Heffernan
2020	B	`conf`	Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms. L@S Thanaporn Patikorn, Neil T. Heffernan
2020	A*	`conf`	Recent Advances in Multimodal Educational Data Mining in K-12 Education. KDD Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin
2020	—	`conf`	Supporting Teacher Assessment in Chinese Language Learning Using Textual and Tonal Features. AIED (1) Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan
2020	A	`conf`	The automated grading of student open responses in mathematics. LAK John A. Erickson, Anthony F. Botelho, Steven McAteer, Ashvini Varatharaj, Neil T. Heffernan
2020	B	`conf`	Workshop Proposal: Educational A/B Testing at Scale. L@S Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Burr Settles, Phillip Grimaldi, Derek Lomas
2019	B	`conf`	Active Learning for Student Affect Detection. EDM Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan
2019	—	`conf`	Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts. AIED (1) Thanaporn Patikorn, David Deisadze, Leo Grande, Ziyang Yu, Neil T. Heffernan
2019	B	`conf`	Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. EDM Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan
2019	B	`conf`	Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. EDM Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan
2019	A	`conf`	Refusing to Try: Characterizing Early Stopout on Student Assignments. LAK Anthony F. Botelho, Ashvini Varatharaj, Eric G. Van Inwegen, Neil T. Heffernan
2019	—	`conf`	Understanding the Complexities of Chinese Word Acquisition within an Online Learning Platform. CSEDU (1) Xiwen Lu, Korinn S. Ostrow, Neil T. Heffernan
2018	—	`conf`	Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing. ICLS Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé
2018	B	`conf`	Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors. EDM Anthony F. Botelho, Ryan S. Baker, Jaclyn Ocumpaugh, Neil T. Heffernan
2018	—	`conf`	Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments. AIED (1) Korinn S. Ostrow, Neil T. Heffernan
2018	B	`conf`	Using Big Data to Sharpen Design-Based Inference in A/B Tests. EDM Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan
2018	Misc	`conf`	Using Design Patterns for Math Preservice Teacher Education. EuroPLoP 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	B	`conf`	A Memory-Augmented Neural Model for Automated Grading. L@S Siyuan Zhao, Yaqiong Zhang, Xiaolu Xiong, Anthony Botelho, Neil T. Heffernan
2017	J	`jnl`	An Integrated Look at Middle School Engagement and Learning in Digital Environments as Precursors to College Attendance. Technol. Knowl. Learn. Maria Ofelia Clarissa Z. San Pedro, Ryan S. Baker, Neil T. Heffernan
2017	B	`conf`	An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect. EDM Thanaporn Patikorn, Neil T. Heffernan, Jian Zou
2017	B	`conf`	Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. EDM Biao Yin, Anthony F. Botelho, Thanaporn Patikorn, Neil T. Heffernan, Jian Zou
2017	B	`conf`	Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. EDM Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan
2017	B	`conf`	Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks. EDM Siyuan Zhao, Neil T. Heffernan
2017	B	`conf`	Experimenting Choices of Video and Text Feedback in Authentic Foreign Language Assignments at Scale. L@S Xiwen Lu, Xiaolu Xiong, Neil T. Heffernan
2017	Misc	`conf`	Feedback Design Patterns for Math Online Learning Systems. EuroPLoP Paul Salvador Inventado, Peter Scupelli, Cristina Heffernan, Neil T. Heffernan
2017	A	`conf`	Guidance counselor reports of the ASSISTments college prediction model (ACPM). LAK Jaclyn Ocumpaugh, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, M. Aaron Hawn, Cristina Heffernan, Neil T. Heffernan, Stefan A. Slater
2017	J	`jnl`	How Flexible Is Your Data? A Comparative Analysis of Scoring Methodologies across Learning Platforms in the Context of Group Differentiation. J. Learn. Anal. Korinn S. Ostrow, Yan Wang, Neil T. Heffernan
2017	A	`conf`	Improving Sensor-Free Affect Detection Using Deep Learning. AIED Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan
2017	B	`conf`	Incorporating Rich Features into Deep Knowledge Tracing. L@S Liang Zhang, Xiaolu Xiong, Siyuan Zhao, Anthony Botelho, Neil T. Heffernan
2017	B	`conf`	Modeling Wheel-spinning and Productive Persistence in Skill Builders. EDM Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan
2017	B	`conf`	Observing Personalizations in Learning: Identifying Heterogeneous Treatment Effects Using Causal Trees. L@S Biao Yin, Thanaporn Patikorn, Anthony F. Botelho, Neil T. Heffernan
2017	A	`conf`	Sequencing content in an adaptive testing system: the role of choice. LAK Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan
2017	B	`conf`	Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. EDM Thanaporn Patikorn, Douglas Selent, Neil T. Heffernan, Joseph Beck, Jian Zou
2017	A	`conf`	Using correlational topic modeling for automated topic identification in intelligent tutoring systems. LAK Stefan Slater, Ryan S. Baker, Ma. Victoria Almeda, Alex J. Bowers, Neil T. Heffernan
2017	B	`conf`	Using natural language processing tools to develop complex models of student engagement. ACII Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Ma. Victoria Almeda, Laura K. Allen, Neil T. Heffernan
2016	B	`conf`	ASSISTments Dataset from Multiple Randomized Controlled Experiments. L@S Douglas Selent, Thanaporn Patikorn, Neil T. Heffernan
2016	B	`conf`	AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. L@S Joseph Jay Williams, Juho Kim, Anna N. Rafferty, Samuel G. Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, Neil T. Heffernan
2016	B	`conf`	Discovering 'Tough Love' Interventions Despite Dropout. EDM Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang
2016	A	`conf`	Enhancing the efficiency and reliability of group differentiation through partial credit. LAK Yan Wang, Korinn Ostrow, Joseph Beck, Neil T. Heffernan
2016	B	`conf`	Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. EDM Anthony F. Botelho, Seth Adjei, Neil T. Heffernan
2016	B	`conf`	Optimizing the Amount of Practice in an On-Line Platform. L@S Kim M. Kelly, Neil T. Heffernan
2016	A	`conf`	Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. LAK Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan
2016	B	`conf`	Semantic Features of Math Problems: Relationships to Student Learning and Engagement. EDM Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Peter Scupelli, Paul Salvador Inventado, Neil T. Heffernan
2016	B	`conf`	Studying Learning at Scale with the ASSISTments TestBed. L@S Korinn S. Ostrow, Neil T. Heffernan
2016	J	`jnl`	The Future of Adaptive Learning: Does the Crowd Hold the Key? Int. J. Artif. Intell. Educ. Neil T. Heffernan, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams
2016	B	`conf`	The Opportunity Count Model: A Flexible Approach to Modeling Student Performance. L@S Yan Wang, Korinn Ostrow, Seth Adjei, Neil T. Heffernan
2016	A	`conf`	The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment. LAK Korinn S. Ostrow, Douglas Selent, Yan Wang, Eric Van Inwegen, Neil T. Heffernan, Joseph Jay Williams
2015	—	`conf`	A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. UMAP Workshops Joseph Jay Williams, Neil T. Heffernan
2015	J	`jnl`	A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons. CoRR Joseph Jay Williams, Neil T. Heffernan
2015	A	`conf`	An analysis of the impact of action order on future performance: the fine-grain action model. LAK Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan
2015	A	`ed.`	Artificial Intelligence in Education - 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings AIED Cristina Conati, Neil T. Heffernan, Antonija Mitrovic, M. Felisa Verdejo
2015	A	`conf`	Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework. AIED Korinn Ostrow, Neil T. Heffernan, Cristina Heffernan, Zoe Peterson
2015	B	`conf`	Building Models to Predict Hint-or-Attempt Actions of Students. EDM Francisco Enrique Vicente Castro, Seth Adjei, Tyler Colombo, Neil T. Heffernan
2015	—	`conf`	Connecting Collaborative & Crowd Work with Online Education. CSCW Companion Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan
2015	B	`conf`	Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses. EDM Kim M. Kelly, Yan Wang, Tamisha Thompson, Neil T. Heffernan
2015	A	`conf`	Developing Self-regulated Learners Through an Intelligent Tutoring System. AIED Kim M. Kelly, Neil T. Heffernan
2015	B	`conf`	Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement. EDM Maria Ofelia San Pedro, Erica L. Snow, Ryan S. Baker, Danielle S. McNamara, Neil T. Heffernan
2015	A	`conf`	Exploring college major choice and middle school student behavior, affect and learning: what happens to students who game the system? LAK Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Neil T. Heffernan, Jaclyn Ocumpaugh
2015	B	`conf`	Grand Challenges for EDM and Related Research Areas. EDM Ryan S. Baker, Peter Brusilovsky, Dragan Gasevic, Neil T. Heffernan, Mykola Pechenizkiy, Alyssa Friend Wise
2015	A	`conf`	Improving Learning Maps Using an Adaptive Testing System: PLACEments. AIED Seth Akonor Adjei, Neil T. Heffernan
2015	B	`conf`	Improving Student Modeling Through Partial Credit and Problem Difficulty. L@S Korinn Ostrow, Christopher Donnelly, Seth Adjei, Neil T. Heffernan
2015	A	`conf`	Learning, Moment-by-Moment and Over the Long Term. AIED Yang Jiang, Ryan Shaun Joazeiro de Baker, Luc Paquette, Maria Ofelia Clarissa Z. San Pedro, Neil T. Heffernan
2015	B	`conf`	Optimizing Partial Credit Algorithms to Predict Student Performance. EDM Korinn Ostrow, Christopher Donnelly, Neil T. Heffernan
2015	B	`conf`	Predicting Student Aptitude Using Performance History. EDM Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan
2015	B	`conf`	The Effect of the Distribution of Predictions of User Models. EDM Eric Van Inwegen, Yan Wang, Seth Adjei, Neil T. Heffernan
2015	B	`conf`	The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. EDM Charles Lang, Neil T. Heffernan, Korinn Ostrow, Yutao Wang
2015	B	`conf`	The Prediction of Student First Response Using Prerequisite Skills. L@S Anthony Botelho, Hao Wan, Neil T. Heffernan
2015	A	`conf`	The Role of Student Choice Within Adaptive Tutoring. AIED Korinn S. Ostrow, Neil T. Heffernan
2015	J	`jnl`	The Utility of Clustering in Prediction Tasks. CoRR Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan
2015	A	`conf`	Towards better affect detectors: effect of missing skills, class features and common wrong answers. LAK Yutao Wang, Neil T. Heffernan, Cristina Heffernan
2015	B	`conf`	Using Partial Credit and Response History to Model User Knowledge. EDM Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan
2015	J	`jnl`	Using and Designing Platforms for In Vivo Education Experiments. CoRR Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan
2015	B	`conf`	Using and Designing Platforms for In Vivo Educational Experiments. L@S Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan
2015	A	`conf`	When More Intelligent Tutoring in the Form of Buggy Messages Does not Help. AIED Douglas Selent, Neil T. Heffernan
2014	B	`conf`	Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial. Intelligent Tutoring Systems Mingyu Feng, Jeremy Roschelle, Neil T. Heffernan, Janet Fairman, Robert F. Murphy
2014	B	`conf`	Improving Retention Performance Prediction with Prerequisite Skill Features. EDM Xiaolu Xiong, Seth Adjei, Neil T. Heffernan
2014	B	`conf`	Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities. Intelligent Tutoring Systems William J. Hawkins, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker
2014	B	`conf`	Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate? Intelligent Tutoring Systems Junjie Gu, Yutao Wang, Neil T. Heffernan
2014	J	`jnl`	Population validity for educational data mining models: A case study in affect detection. Br. J. Educ. Technol. Jaclyn Ocumpaugh, Ryan Shaun Baker, Sujith M. Gowda, Neil T. Heffernan, Cristina Heffernan
2014	B	`conf`	Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software. EDM Maria Ofelia San Pedro, Jaclyn Ocumpaugh, Ryan S. Baker, Neil T. Heffernan
2014	B	`conf`	Reducing Student Hint Use by Creating Buggy Messages from Machine Learned Incorrect Processes. Intelligent Tutoring Systems Douglas Selent, Neil T. Heffernan
2014	B	`conf`	Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. EDM Seth Adjei, Douglas Selent, Neil T. Heffernan, Zachary A. Pardos, Angela Broaddus, Neal Kingston
2014	B	`conf`	Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments. EDM Korinn Ostrow, Neil T. Heffernan
2014	J	`jnl`	The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching. Int. J. Artif. Intell. Educ. Neil T. Heffernan, Cristina Linquist-Heffernan
2014	B	`conf`	The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics. Intelligent Tutoring Systems Yutao Wang, Neil T. Heffernan
2014	—	`conf`	The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. EDM (Workshops) Linglong Zhu, Yutao Wang, Neil T. Heffernan
2014	—	`conf`	Using Analytics for Improving Implementation Fidelity in an Large Scale Efficacy Trial. ICLS Mingyu Feng, Jeremy Roschelle, Robert F. Murphy, Neil T. Heffernan
2014	—	`conf`	Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing. EDM (Workshops) William J. Hawkins, Neil T. Heffernan
2013	A	`conf`	A Comparison of Two Different Methods to Individualize Students and Skills. AIED Yutao Wang, Neil T. Heffernan
2013	B	`conf`	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". EDM Hien Duong, Linglong Zhu, Yutao Wang, Neil T. Heffernan
2013	Misc	`conf`	Added Teacher-Created Motiational Video to an ITS. FLAIRS Kim M. Kelly, Neil T. Heffernan, Sidney K. D'Mello, Jeffrey Namais, Amber Chauncey Strain
2013	Misc	`conf`	Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. FLAIRS Fei Song, Shubhendu Trivedi, Yutao Wang, Gábor N. Sárközy, Neil T. Heffernan
2013	B	`conf`	Do students really learn an equal amount independent of whether they get an item correct or wrong? EDM Seth Adjei, Seye Salehizadeh, Yutao Wang, Neil T. Heffernan
2013	Misc	`conf`	Does Immediate Feedback While Doing Homework Improve Learning? FLAIRS Paul Kehrer, Kim M. Kelly, Neil T. Heffernan
2013	A	`conf`	Estimating the Effect of Web-Based Homework. AIED Kim M. Kelly, Neil T. Heffernan, Cristina Heffernan, Susan R. Goldman, James Pellegrino, Deena Soffer Goldstein
2013	—	`conf`	Estimating the Effect of Web-Based Homework. AIED Workshops Kim M. Kelly, Neil T. Heffernan, Cristina Heffernan, Susan R. Goldman, James Pellegrino, Deena Soffer Goldstein
2013	A	`conf`	Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes. AIED Yutao Wang, Neil T. Heffernan
2013	B	`conf`	Extending the Assistance Model: Analyzing the Use of Assistance over Time. EDM William Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker
2013	B	`conf`	Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School. EDM Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Alex J. Bowers, Neil T. Heffernan
2013	A	`conf`	Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutoring System. AIED Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Neil T. Heffernan
2013	B	`conf`	Using ITS Generated Data to Predict Standardized Test Scores. EDM Kim M. Kelly, Ivon Arroyo, Neil T. Heffernan
2013	B	`conf`	Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)? ACII William Hawkins, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker
2012	B	`conf`	Clustered Knowledge Tracing. ITS Zachary A. Pardos, Shubhendu Trivedi, Neil T. Heffernan, Gábor N. Sárközy
2012	B	`conf`	Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction. EDM Shubhendu Trivedi, Zachary A. Pardos, Gábor N. Sárközy, Neil T. Heffernan
2012	B	`conf`	Leveraging First Response Time into the Knowledge Tracing Model. EDM Yutao Wang, Neil T. Heffernan
2012	B	`conf`	The Student Skill Model. ITS Yutao Wang, Neil T. Heffernan
2012	Misc	`conf`	Towards Data Driven Model Improvement. FLAIRS Yumeng Qiu, Zachary A. Pardos, Neil T. Heffernan
2012	Misc	`conf`	Tutor Modeling Versus Student Modeling. FLAIRS Zachary A. Pardos, Neil T. Heffernan
2012	B	`conf`	WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching. ITS Yue Gong, Joseph E. Beck, Neil T. Heffernan
2011	C	`conf`	Automatic Physical Database Tuning Middleware for Web-Based Applications. ADBIS Jozsef Patvarczki, Neil T. Heffernan
2011	A	`conf`	Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions. AIED Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan
2011	B	`conf`	Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. EDM Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan
2011	J	`jnl`	Detecting Learning Moment-by-Moment. Int. J. Artif. Intell. Educ. Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan
2011	B	`conf`	Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing. EDM Yumeng Qiu, Yingmei Qi, Hanyuan Lu, Zachary A. Pardos, Neil T. Heffernan
2011	A	`conf`	Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems. UMAP Ryan Shaun Joazeiro de Baker, Zachary A. Pardos, Sujith M. Gowda, Bahador B. Nooraei, Neil T. Heffernan
2011	B	`conf`	Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System. EDM Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan
2011	A	`conf`	Feedback during Web-Based Homework: The Role of Hints. AIED Ravi Singh, Muhammad Saleem, Prabodha Pradhan, Cristina Heffernan, Neil T. Heffernan, Leena M. Razzaq, Matthew D. Dailey, Cristine O'Connor, Courtney Mulcahy
2011	J	`jnl`	How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis. Int. J. Artif. Intell. Educ. Yue Gong, Joseph E. Beck, Neil T. Heffernan
2011	A	`conf`	KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model. UMAP Zachary A. Pardos, Neil T. Heffernan
2011	J	`jnl`	Learning What Works in its from Non-Traditional Randomized Controlled Trial Data. Int. J. Artif. Intell. Educ. Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan
2011	B	`conf`	Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data. EDM Bahador B. Nooraei, Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker
2011	B	`conf`	Spectral Clustering in Educational Data Mining. EDM Shubhendu Trivedi, Zachary A. Pardos, Gábor N. Sárközy, Neil T. Heffernan
2011	Misc	`conf`	The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs. FLAIRS Yutao Wang, Neil T. Heffernan
2011	J	`jnl`	The sum is greater than the parts: ensembling models of student knowledge in educational software. SIGKDD Explor. Zachary A. Pardos, Sujith M. Gowda, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan
2011	B	`conf`	Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. EDM Yutao Wang, Neil T. Heffernan
2010	B	`conf`	A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) Dovan Rai, Joseph E. Beck, Neil T. Heffernan
2010	B	`conf`	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 Mingyu Feng, Neil T. Heffernan
2010	B	`conf`	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) Mingyu Feng, Neil T. Heffernan
2010	B	`conf`	Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures. Intelligent Tutoring Systems (1) Yue Gong, Joseph E. Beck, Neil T. Heffernan
2010	B	`conf`	Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) Dovan Rai, Joseph E. Beck, Neil T. Heffernan
2010	B	`conf`	Detecting the Moment of Learning. Intelligent Tutoring Systems (1) Ryan Shaun Joazeiro de Baker, Adam B. Goldstein, Neil T. Heffernan
2010	J	`jnl`	Ethical issues in Computer-Assisted Language Learning: Perceptions of teachers and learners. Br. J. Educ. Technol. Shudong Wang, Neil T. Heffernan
2010	B	`conf`	Hints: Is It Better to Give or Wait to Be Asked? Intelligent Tutoring Systems (1) Leena M. Razzaq, Neil T. Heffernan
2010	B	`conf`	Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data. Intelligent Tutoring Systems (2) Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan
2010	B	`conf`	Mily's World: A Coordinate Geometry Learning Environment with Game-Like Properties. Intelligent Tutoring Systems (2) Dovan Rai, Joseph E. Beck, Neil T. Heffernan
2010	A	`conf`	Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. UMAP Zachary A. Pardos, Neil T. Heffernan
2010	B	`conf`	Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm. EDM Zachary A. Pardos, Neil T. Heffernan
2010	—	`ch.`	Open Content Authoring Tools. Advances in Intelligent Tutoring Systems Leena M. Razzaq, Neil T. Heffernan
2010	B	`conf`	Pinpointing Learning Moments; A finer grain P(J) model. EDM Adam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan
2010	B	`conf`	Representing Student Performance with Partial Credit. EDM Yutao Wang, Neil T. Heffernan, Joseph E. Beck
2010	B	`conf`	The Fine-Grained Impact of Gaming (?) on Learning. Intelligent Tutoring Systems (1) Yue Gong, Joseph E. Beck, Neil T. Heffernan, Elijah Forbes-Summers
2010	B	`conf`	Using Data Mining Findings to Aid Searching for Better Cognitive Models. Intelligent Tutoring Systems (2) Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
2010	B	`conf`	Using multiple Dirichlet distributions to improve parameter plausibility. EDM Yue Gong, Joseph E. Beck, Neil T. Heffernan
2009	J	`jnl`	Addressing the assessment challenge with an online system that tutors as it assesses. User Model. User Adapt. Interact. Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
2009	A	`conf`	Detecting the Learning Value of Items In a Randomized Problem Set. AIED Zachary A. Pardos, Neil T. Heffernan
2009	B	`conf`	Determining the Significance of Item Order In Randomized Problem Sets. EDM Zachary A. Pardos, Neil T. Heffernan
2009	B	`conf`	Does Self-Discipline impact students' knowledge and learning?. EDM Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan
2009	C	`conf`	Performance Driven Database Design for Scalable Web Applications. ADBIS Jozsef Patvarczki, Murali Mani, Neil T. Heffernan
2009	J	`jnl`	The ASSISTment Builder: Supporting the Life Cycle of Tutoring System Content Creation. IEEE Trans. Learn. Technol. Leena M. Razzaq, Jozsef Patvarczki, Shane F. Almeida, Manasi Vartak, Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
2009	A	`conf`	To Tutor or Not to Tutor: That is the Question. AIED Leena M. Razzaq, Neil T. Heffernan
2009	B	`conf`	Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. EDM Mingyu Feng, Joseph Beck, Neil T. Heffernan
2009	A	`conf`	Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. AIED Mingyu Feng, Neil T. Heffernan, Joseph E. Beck
2009	J	`jnl`	Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System. IEEE Trans. Learn. Technol. Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan, Murali Mani
2008	B	`conf`	Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. EDM Mingyu Feng, Joseph E. Beck, Neil T. Heffernan, Kenneth R. Koedinger
2008	B	`conf`	Can we predict which groups of questions students will learn from?. EDM Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger
2008	B	`conf`	Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance. Intelligent Tutoring Systems Leena M. Razzaq, Michael Mendicino, Neil T. Heffernan
2008	J	`jnl`	Expanding the Model-Tracing Architecture: A 3rd Generation Intelligent Tutor for Algebra Symbolization. Int. J. Artif. Intell. Educ. Neil T. Heffernan, Kenneth R. Koedinger, Leena M. Razzaq
2008	B	`conf`	Lessons Learned from Scaling Up a Web-Based Intelligent Tutoring System. Intelligent Tutoring Systems Jozsef Patvarczki, Shane F. Almeida, Joseph E. Beck, Neil T. Heffernan
2008	B	`conf`	The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. EDM Zachary A. Pardos, Neil T. Heffernan, Carolina Ruiz, Joseph E. Beck
2008	—	`conf`	Towards designing a user-adaptive web-based e-learning system. CHI Extended Abstracts Leena M. Razzaq, Neil T. Heffernan
2008	B	`conf`	Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?. Intelligent Tutoring Systems Yu Guo, Joseph E. Beck, Neil T. Heffernan
2007	—	`ch.`	A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance. Intelligent Educational Machines 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
2007	A	`conf`	Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. AIED Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan
2007	A	`conf`	Educational Data Mining Workshop. AIED Cecily Heiner, Neil T. Heffernan, Tiffany Barnes
2007	B	`conf`	FM and Web Broadcasting Systems for Mobile Language Listening. ICALT Shudong Wang, Neil T. Heffernan
2007	A	`conf`	The Distribution of Student Errors Across Schools: An Initial Study. AIED Rob R. Weitz, Neil T. Heffernan, Viswanathan Kodaganallur, David Rosenthal
2007	—	`conf`	The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. User Modeling Zachary A. Pardos, Neil T. Heffernan, Brigham S. Anderson, Cristina Linquist-Heffernan
2007	A	`conf`	What Level of Tutor Interaction is Best? AIED Leena M. Razzaq, Neil T. Heffernan, Robert W. Lindeman
2006	A*	`conf`	Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. WWW Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
2006	B	`conf`	Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems. Intelligent Tutoring Systems Jason A. Walonoski, Neil T. Heffernan
2006	B	`conf`	Knowledge Engineering for Intelligent Tutoring Systems: Assessing Semi-automatic Skill Encoding Methods. Intelligent Tutoring Systems Kevin Kardian, Neil T. Heffernan
2006	B	`conf`	Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. Intelligent Tutoring Systems Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
2006	B	`conf`	Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems. Intelligent Tutoring Systems Jason A. Walonoski, Neil T. Heffernan
2006	B	`conf`	Scaffolding vs. Hints in the Assistment System. Intelligent Tutoring Systems Leena M. Razzaq, Neil T. Heffernan
2006	Misc	`conf`	The ASSISTment Builder: Towards an Analysis of Cost Effectiveness of ITS Creation. FLAIRS Neil T. Heffernan, Terrence E. Turner, Abraao L. N. Lourenco, Michael A. Macasek, Goss Nuzzo-Jones, Kenneth R. Koedinger
2005	A	`conf`	Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment. AIED Carolyn Penstein Rosé, Pinar Donmez, Gahgene Gweon, Andrea Knight, Brian Junker, William W. Cohen, Kenneth R. Koedinger, Neil T. Heffernan
2005	A	`conf`	Blending Assessment and Instructional Assisting. AIED 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	A	`conf`	The Assistment Builder: A Rapid Development Tool for ITS. AIED Terrence E. Turner, Michael A. Macasek, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger
2005	A	`conf`	The eXtensible Tutor Architecture: A New Foundation for ITS. AIED Goss Nuzzo-Jones, Jason A. Walonoski, Neil T. Heffernan, Tom Livak
2004	B	`conf`	Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems. Intelligent Tutoring Systems Matthew P. Jarvis, Goss Nuzzo-Jones, Neil T. Heffernan
2004	B	`conf`	Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration. Intelligent Tutoring Systems Kenneth R. Koedinger, Vincent Aleven, Neil T. Heffernan, Bruce M. McLaren, Matthew Hockenberry
2004	B	`conf`	Tutorial Dialog in an Equation Solving Intelligent Tutoring System. Intelligent Tutoring Systems Leena M. Razzaq, Neil T. Heffernan
2004	B	`conf`	Web-Based Evaluations Showing Differential Learning for Tutorial Strategies Employed by the Ms. Lindquist Tutor. Intelligent Tutoring Systems Neil T. Heffernan, Ethan A. Croteau
2004	B	`conf`	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 Ethan A. Croteau, Neil T. Heffernan, Kenneth R. Koedinger
2004	B	`conf`	Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions. Intelligent Tutoring Systems 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. Rosé, Beverly Park Woolf, Claus Zinn
2002	B	`conf`	An Intelligent Tutoring System Incorporating a Model of an Experienced Human Tutor. Intelligent Tutoring Systems Neil T. Heffernan, Kenneth R. Koedinger
1998	—	`conf`	Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors. CHI Conference Summary Neil T. Heffernan