| 2026 | LAK | Toward Trait-Aware Learning Analytics. | Conrad Borchers, Hannah Deininger, Zachary A. Pardos |
| 2026 | LAK | Strengthening Course Transfer Pathways Using Graph-Theoretic Articulation Networks. | Yerin Kwak, Robin Schmucker, Zachary A. Pardos |
| 2025 | CHI | PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation. | Mohi Reza, Ioannis Anastasopoulos, Shreya Bhandari, Zachary A. Pardos |
| 2025 | ICML | Position: AI Evaluation Should Learn from How We Test Humans. | Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen |
| 2024 | AIED | Explainable Automatic Grading with Neural Additive Models. | Aubrey Condor, Zachary A. Pardos |
| 2024 | CSEDU | AI for Adaptive Tutoring and Transfer Student Success. | Zachary A. Pardos |
| 2024 | EDM | Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education. | Conrad Borchers, Yinuo Xu, Zachary A. Pardos |
| 2024 | EDM | Auditing an Automatic Grading Model with deep Reinforcement Learning. | Aubrey Condor, Zachary A. Pardos |
| 2024 | LAK | Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs. | Shreya K. Sheel, Ioannis Anastasopoulos, Zachary A. Pardos |
| 2024 | LAK | Extracting Course Similarity Signal using Subword Embeddings. | Yinuo Xu, Zachary A. Pardos |
| 2023 | AIED | Conducting Rapid Experimentation with an Open-Source Adaptive Tutoring System. | Zachary A. Pardos, Ioannis Anastasopoulos, Shreya K. Sheel |
| 2023 | CHI | OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research. | Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang |
| 2023 | EDM | Mining Detailed Course Transaction Records for Semantic Information. | Yinuo Xu, Zachary A. Pardos |
| 2023 | LAK | Insights into undergraduate pathways using course load analytics. | Conrad Borchers, Zachary A. Pardos |
| 2023 | OZCHI | An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application. | Sara Khorasani, Sadia Nawaz, Brandon Victor Syiem, Jing Wei, Zachary A. Pardos, Jarrod Knibbe, Eduardo Velloso |
| 2022 | AIED | Representing Scoring Rubrics as Graphs for Automatic Short Answer Grading. | Aubrey Condor, Zachary A. Pardos, Marcia C. Linn |
| 2022 | EDM | A deep reinforcement learning approach to automatic formative feedback. | Aubrey Condor, Zachary A. Pardos |
| 2022 | EDM | Does chronology matter? Sequential vs contextual approaches to knowledge tracing. | Yueqi Wang, Zachary A. Pardos |
| 2021 | AAAI | Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest. | Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos |
| 2021 | AIES | Towards Equity and Algorithmic Fairness in Student Grade Prediction. | Weijie Jiang, Zachary A. Pardos |
| 2021 | EDM | pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. | Anirudhan Badrinath, Frdric Wang, Zachary A. Pardos |
| 2021 | EDM | Automatic short answer grading with SBERT on out-of-sample questions. | Aubrey Condor, Max Litster, Zachary A. Pardos |
| 2021 | IJCAI | Item Response Ranking for Cognitive Diagnosis. | Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang |
| 2021 | LAK | Which one's more work? Predicting effective credit hours between courses. | Shruthi Chockkalingam, Run Yu, Zachary A. Pardos |
| 2021 | LAK | Learning Skill Equivalencies Across Platform Taxonomies. | Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos |
| 2020 | COLING | Lexical Relation Mining in Neural Word Embeddings. | Aishwarya Jadhav, Yifat Amir, Zachary A. Pardos |
| 2020 | CoNLL | Understanding the Source of Semantic Regularities in Word Embeddings. | Hsiao-Yu Chiang, Jos Camacho-Collados, Zachary A. Pardos |
| 2020 | EDM | Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling. | Clarence Chen, Zachary A. Pardos |
| 2020 | EDM | Evaluating sources of course information and models of representation on a variety of institutional prediction tasks. | Weijie Jiang, Zachary A. Pardos |
| 2020 | LAK | Designing for serendipity in a university course recommendation system. | Zachary A. Pardos, Weijie Jiang |
| 2019 | AIED | Degree Curriculum Contraction: A Vector Space Approach. | Mohamed Alkaoud, Zachary A. Pardos |
| 2019 | EDM | Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments. | Matthew Dong, Run Yu, Zachary A. Pardos |
| 2019 | EDM | Binary Q-matrix Learning with dAFM. | Nan Jiang, Zachary A. Pardos |
| 2019 | EDM | Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding. | John Kolb, Scott Farrar, Zachary A. Pardos |
| 2019 | EDM | Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. | Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn |
| 2019 | EDM | Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. | Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn |
| 2019 | EDM | Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course. | Renzhe Yu, Zachary A. Pardos, John Scott |
| 2019 | LAK | Goal-based Course Recommendation. | Weijie Jiang, Zachary A. Pardos, Qiang Wei |
| 2019 | RecSys | Time slice imputation for personalized goal-based recommendation in higher education. | Weijie Jiang, Zachary A. Pardos |
| 2019 | RecSys | Designing for Serendipity in a University Course Recommendation System. | Zachary A. Pardos, Weijie Jiang |
| 2018 | AAAI | Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. | Yuetian Luo, Zachary A. Pardos |
| 2018 | AIED | Communication at Scale in a MOOC Using Predictive Engagement Analytics. | Christopher Vu Le, Zachary A. Pardos, Samuel D. Meyer, Rachel Thorp |
| 2018 | AIED | Deep Knowledge Tracing for Free-Form Student Code Progression. | Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler |
| 2018 | SIGCSE | AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only). | Zhiping Xiao, Siqi Li, Zachary A. Pardos |
| 2016 | EDM | Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. | Martina A. Rau, Zachary A. Pardos |
| 2016 | LAK | Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization. | Zachary A. Pardos, Yanbo Xu |
| 2015 | AIED | Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry. | Joshua C. Peterson, Zachary A. Pardos, Martina A. Rau, Anna Swigart, Colin Gerber, Jonathan McKinsey |
| 2015 | AIED | Is this Model for Real? Simulating Data to Reveal the Proximity of a Model to Reality. | Rinat B. Rosenberg-Kima, Zachary A. Pardos |
| 2015 | EDM | Ethics and Privacy in EDM. | Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaane |
| 2015 | EDM | Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data. | Zachary MacHardy, Zachary A. Pardos |
| 2015 | EDM | Desirable Difficulty and Other Predictors of Effective Item Orderings. | Steven Tang, Hannah Gogel, Elizabeth A. McBride, Zachary A. Pardos |
| 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 | A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing. | Asif Dhanani, Seung Yeon Lee, Phitchaya Mangpo Phothilimthana, Zachary A. Pardos |
| 2014 | EDM | Is this Data for Real? | Rinat B. Rosenberg-Kima, Zachary A. Pardos |
| 2013 | AIED | First Annual Workshop on Massive Open Online Courses. | Zachary A. Pardos, Emily Schneider |
| 2013 | AIED | Towards Moment of Learning Accuracy. | Zachary A. Pardos, Michael Yudelson |
| 2013 | AIED | Developing Data Standards and Systems for MOOC Data Science. | Kalyan Veeramachaneni, Franck Dernoncourt, Colin Taylor, Zachary A. Pardos, Una-May O'Reilly |
| 2013 | EDM | A Spectral Learning Approach to Knowledge Tracing. | Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky |
| 2013 | EDM | Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX. | Zachary A. Pardos, Yoav Bergner, Daniel T. Seaton, David E. Pritchard |
| 2013 | LAK | Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes. | Zachary A. Pardos, Ryan Shaun Joazeiro de Baker, Maria Ofelia Clarissa Z. San Pedro, Sujith M. Gowda, Supreeth M. Gowda |
| 2012 | EDM | The real world significance of performance prediction. | Zachary A. Pardos, Qing Yang Wang, Shubhendu Trivedi |
| 2012 | EDM | Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques. | Martina A. Rau, Zachary A. Pardos |
| 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 | 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 | Content Learning Analysis Using the Moment-by-Moment Learning Detector. | Sujith M. Gowda, Zachary A. Pardos, Ryan Shaun Joazeiro de Baker |
| 2012 | ITS | Knowledge Component Suggestion for Untagged Content in an Intelligent Tutoring System. | Mario Karlovcec, Mariheida Cordova-Sanchez, Zachary A. Pardos |
| 2012 | ITS | Clustered Knowledge Tracing. | Zachary A. Pardos, Shubhendu Trivedi, Neil T. Heffernan, Gbor N. Srkzy |
| 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 |
| 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 | ITS | Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data. | Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan |
| 2009 | AIED | Detecting the Learning Value of Items In a Randomized Problem Set. | Zachary A. Pardos, Neil T. Heffernan |
| 2009 | EDM | Determining the Significance of Item Order In Randomized Problem Sets. | Zachary A. Pardos, Neil T. Heffernan |
| 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 |
| 2007 | AIED | Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. | Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan |