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

The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. - Zachary A. Pardos; Neil T. Heffernan; Brigham S. Anderson; Cristina Linquist-Heffernan (User Modeling, 2007)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The real world significance of performance prediction. - Zachary A. Pardos; Qing Yang Wang; Shubhendu Trivedi (EDM, 2012)

Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques. - Martina A. Rau; Zachary A. Pardos (EDM, 2012)

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

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

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

Content Learning Analysis Using the Moment-by-Moment Learning Detector. - Sujith M. Gowda; Zachary A. Pardos; Ryan Shaun Joazeiro de Baker (ITS, 2012)

Knowledge Component Suggestion for Untagged Content in an Intelligent Tutoring System. - Mario Karlovcec; Mariheida Cordova-Sanchez; Zachary A. Pardos (ITS, 2012)

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

First Annual Workshop on Massive Open Online Courses. - Zachary A. Pardos; Emily Schneider (AIED, 2013)

Towards Moment of Learning Accuracy. - Zachary A. Pardos; Michael Yudelson (AIED Workshops, 2013)

Developing Data Standards and Systems for MOOC Data Science. - Kalyan Veeramachaneni; Franck Dernoncourt; Colin Taylor; Zachary A. Pardos; Una-May O'Reilly (AIED Workshops, 2013)

A Spectral Learning Approach to Knowledge Tracing. - Mohammad Hassan Falakmasir; Zachary A. Pardos; Geoffrey J. Gordon; Peter Brusilovsky (EDM, 2013)

Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX. - Zachary A. Pardos; Yoav Bergner; Daniel T. Seaton; David E. Pritchard (EDM, 2013)

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 (LAK, 2013)

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

A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing. - Asif Dhanani; Seung Yeon Lee; Phitchaya Mangpo Phothilimthana; Zachary A. Pardos (EDM (Workshops), 2014)

Is this Data for Real? - Rinat B. Rosenberg-Kima; Zachary A. Pardos (EDM (Workshops), 2014)

MOOCShop 2014. - Steven Lonn; Christopher Brooks 001; Zachary A. Pardos; Barry W. Peddycord III; Emily Schneider; Ido Roll; Ashley Shaw (ICLS, 2014)

How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study. - Martina A. Rau; Vincent Aleven; Nikol Rummel; Zachary A. Pardos (Int. J. Artif. Intell. Educ., 2014)

Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes. - Zachary A. Pardos; Ryan S. Baker 001; Maria Ofelia San Pedro; Sujith M. Gowda; Supreeth M. Gowda (J. Learn. Anal., 2014)

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 (AIED, 2015)

Is this Model for Real? Simulating Data to Reveal the Proximity of a Model to Reality. - Rinat B. Rosenberg-Kima; Zachary A. Pardos (AIED Workshops, 2015)

Ethics and Privacy in EDM. - Dragan Gasevic; Taylor Martin; Zachary A. Pardos; Mykola Pechenizkiy; John C. Stamper; Osmar R. Zaïane (EDM, 2015)

Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data. - Zachary MacHardy; Zachary A. Pardos (EDM, 2015)

Desirable Difficulty and Other Predictors of Effective Item Orderings. - Steven Tang; Hannah Gogel; Elizabeth A. McBride; Zachary A. Pardos (EDM, 2015)

Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data. - Zachary MacHardy; Zachary A. Pardos (L@S, 2015)

moocRP: An Open-source Analytics Platform. - Zachary A. Pardos; Kevin Kao (L@S, 2015)

Item Ordering Effects with Qualitative Explanations using Online Adaptive Tutoring Data. - Steven Tang; Elizabeth A. McBride; Hannah Gogel; Zachary A. Pardos (L@S, 2015)

Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance. - Seth Corrigan; Tiffany Barkley; Zachary A. Pardos (UMAP, 2015)

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

Commentary On "Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs". - Zachary A. Pardos (J. Learn. Anal., 2015)

Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. - Martina A. Rau; Zachary A. Pardos (EDM, 2016)

Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization. - Zachary A. Pardos; Yanbo Xu (LAK, 2016)

Predicting Student Learning using Log Data from Interactive Simulations on Climate Change. - Elizabeth A. McBride; Jonathan M. Vitale; Hannah Gogel; Mario M. Martinez; Zachary A. Pardos; Marcia C. Linn (L@S, 2016)

Deep Neural Networks and How They Apply to Sequential Education Data. - Steven Tang; Joshua C. Peterson; Zachary A. Pardos (L@S, 2016)

Modelling Student Behavior using Granular Large Scale Action Data from a MOOC. - Steven Tang; Joshua C. Peterson; Zachary A. Pardos (CoRR, 2016)

moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization. - Zachary A. Pardos; Anthony Whyte; Kevin Kao (Technol. Knowl. Learn., 2016)

The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics. - John C. Stamper; Zachary A. Pardos (J. Learn. Anal., 2016)

CSCL and Eye-Tracking: Experiences, Opportunities and Challenges. - Kshitij Sharma; Patrick Jermann; Pierre Dillenbourg; Luis Pablo Prieto; Sarah D'Angelo; Darren Gergle; Bertrand Schneider; Martina A. Rau; Zachary A. Pardos; Nikol Rummel (CSCL, 2017)

Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework. - Zachary A. Pardos; Steven Tang; Daniel Davis; Christopher Vu Le (L@S, 2017)

Imputing KCs with Representations of Problem Content and Context. - Zachary A. Pardos; Anant Dadu (UMAP, 2017)

Personalized Behavior Recommendation: A Case Study of Applicability to 13 Courses on edX. - Steven Tang; Zachary A. Pardos (UMAP (Adjunct Publication), 2017)

Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. - Yuetian Luo; Zachary A. Pardos (AAAI, 2018)

Communication at Scale in a MOOC Using Predictive Engagement Analytics. - Christopher Vu Le; Zachary A. Pardos; Samuel D. Meyer; Rachel Thorp (AIED (1), 2018)

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 (AIED (2), 2018)

Distributed Representation of Misconceptions. - Zachary A. Pardos; Scott Farrar; John Kolb; Gao Xian Peh; Jong Ha Lee (ICLS, 2018)

AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only). - Zhiping Xiao 001; Siqi Li; Zachary A. Pardos (SIGCSE, 2018)

Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks. - Zachary A. Pardos; Changran Hu; Pengqiu Meng; Michael Neff; Dor Abrahamson (UMAP (Adjunct Publication), 2018)

Connectionist Recommendation in the Wild. - Zachary A. Pardos; Zihao Fan; Weijie Jiang (CoRR, 2018)

A Map of Knowledge. - Zachary A. Pardos; Andrew Joo Hun Nam (CoRR, 2018)

Degree Curriculum Contraction: A Vector Space Approach. - Mohamed Alkaoud; Zachary A. Pardos (AIED (2), 2019)

Design and Deployment of a Better Course Search Tool: Inferring Latent Keywords from Enrollment Networks. - Matthew Dong; Run Yu 002; Zachary A. Pardos (EC-TEL, 2019)

Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments. - Matthew Dong; Run Yu 002; Zachary A. Pardos (EDM, 2019)

Binary Q-matrix Learning with dAFM. - Nan Jiang; Zachary A. Pardos (EDM, 2019)

Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding. - John Kolb; Scott Farrar; Zachary A. Pardos (EDM, 2019)

Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. - Korah J. Wiley; Allison Bradford; Zachary A. Pardos; Marcia C. Linn (EDM, 2019)

Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course. - Renzhe Yu; Zachary A. Pardos; John Scott (EDM (Workshops), 2019)

Goal-based Course Recommendation. - Weijie Jiang; Zachary A. Pardos; Qiang Wei 001 (LAK, 2019)

Data-Assistive Course-to-Course Articulation Using Machine Translation. - Zachary A. Pardos; Hung Chau; Haocheng Zhao (L@S, 2019)

Time slice imputation for personalized goal-based recommendation in higher education. - Weijie Jiang; Zachary A. Pardos (RecSys, 2019)

Designing for Serendipity in a University Course Recommendation System. - Zachary A. Pardos; Weijie Jiang (IntRS@RecSys, 2019)

Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System. - Zachary A. Pardos; Weijie Jiang (CoRR, 2019)

Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance. - Zachary A. Pardos; Zihao Fan; Weijie Jiang (User Model. User Adapt. Interact., 2019)

Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization. - Zachary A. Pardos; Lev Horodyskyj (J. Learn. Anal., 2019)

Lexical Relation Mining in Neural Word Embeddings. - Aishwarya Jadhav; Yifat Amir; Zachary A. Pardos (COLING, 2020)

Understanding the Source of Semantic Regularities in Word Embeddings. - Hsiao-Yu Chiang; José Camacho-Collados; Zachary A. Pardos (CoNLL, 2020)

Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling. - Clarence Chen; Zachary A. Pardos (EDM, 2020)

Evaluating sources of course information and models of representation on a variety of institutional prediction tasks. - Weijie Jiang; Zachary A. Pardos (EDM, 2020)

Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest. - Erzhuo Shao; Shiyuan Guo; Zachary A. Pardos (AAAI, 2021)

Towards Equity and Algorithmic Fairness in Student Grade Prediction. - Weijie Jiang; Zachary A. Pardos (AIES, 2021)

pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. - Anirudhan Badrinath; Frédéric Wang; Zachary A. Pardos (EDM, 2021)

Automatic short answer grading with SBERT on out-of-sample questions. - Aubrey Condor; Max Litster; Zachary A. Pardos (EDM, 2021)

Item Response Ranking for Cognitive Diagnosis. - Shiwei Tong; Qi Liu 003; Runlong Yu; Wei Huang 002; Zhenya Huang; Zachary A. Pardos; Weijie Jiang (IJCAI, 2021)

Which one's more work? Predicting effective credit hours between courses. - Shruthi Chockkalingam; Run Yu 002; Zachary A. Pardos (LAK, 2021)

Learning Skill Equivalencies Across Platform Taxonomies. - Zhi Li 078; Cheng Ren; Xianyou Li; Zachary A. Pardos (LAK, 2021)

Orienting Students to Course Recommendations Using Three Types of Explanation. - Run Yu 002; Zachary A. Pardos; Hung Chau; Peter Brusilovsky (UMAP (Adjunct Publication), 2021)

Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment. - Renzhe Yu; John Scott; Zachary A. Pardos (CoRR, 2021)

pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models. - Anirudhan Badrinath; Frédéric Wang; Zachary A. Pardos (CoRR, 2021)

Representing Scoring Rubrics as Graphs for Automatic Short Answer Grading. - Aubrey Condor; Zachary A. Pardos; Marcia C. Linn (AIED (1), 2022)

A deep reinforcement learning approach to automatic formative feedback. - Aubrey Condor; Zachary A. Pardos (EDM, 2022)

Does chronology matter? Sequential vs contextual approaches to knowledge tracing. - Yueqi Wang; Zachary A. Pardos (EDM, 2022)

Learning analytics of embodied design: Enhancing synergy. - Dor Abrahamson; Marcelo Worsley; Zachary A. Pardos; Lu Ou (Int. J. Child Comput. Interact., 2022)

Characterizing learner behavior from touchscreen data. - Zachary A. Pardos; Leah F. Rosenbaum; Dor Abrahamson (Int. J. Child Comput. Interact., 2022)

Conducting Rapid Experimentation with an Open-Source Adaptive Tutoring System. - Zachary A. Pardos; Ioannis Anastasopoulos; Shreya K. Sheel (AIED (Posters/Late Breaking Results/...), 2023)

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 (CHI, 2023)

Mining Detailed Course Transaction Records for Semantic Information. - Yinuo Xu; Zachary A. Pardos (EDM, 2023)

Insights into undergraduate pathways using course load analytics. - Conrad Borchers; Zachary A. Pardos (LAK, 2023)

Introducing an Open-source Adaptive Tutoring System to Accelerate Learning Sciences Experimentation. - Ioannis Anastasopoulos; Shreya K. Sheel; Zachary A. Pardos; Shreya Bhandari (L@S, 2023)

Convincing the Expert: Reducing Algorithm Aversion in Administrative Higher Education Decision-making. - Lingrui Xu; Zachary A. Pardos; Anirudh Pai (L@S, 2023)

A Bounded Ability Estimation for Computerized Adaptive Testing. - Yan Zhuang; Qi Liu 003; Guanhao Zhao; Zhenya Huang; Weizhe Huang; Zachary A. Pardos; Enhong Chen; Jinze Wu; Xin Li 064 (NeurIPS, 2023)

An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application. - Sara Khorasani; Sadia Nawaz; Brandon Victor Syiem; Jing Wei 002; Zachary A. Pardos; Jarrod Knibbe; Eduardo Velloso (OZCHI, 2023)

Learning gain differences between ChatGPT and human tutor generated algebra hints. - Zachary A. Pardos; Shreya Bhandari (CoRR, 2023)

Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records. - Zachary A. Pardos; Conrad Borchers; Run Yu 002 (Internet High. Educ., 2023)

Explainable Automatic Grading with Neural Additive Models. - Aubrey Condor; Zachary A. Pardos (AIED (1), 2024)

AI for Adaptive Tutoring and Transfer Student Success. - Zachary A. Pardos (CSEDU, 2024)

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 (EDM, 2024)

Auditing an Automatic Grading Model with deep Reinforcement Learning. - Aubrey Condor; Zachary A. Pardos (EDM, 2024)

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

Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs. - Shreya K. Sheel; Ioannis Anastasopoulos; Zachary A. Pardos (LAK, 2024)

Extracting Course Similarity Signal using Subword Embeddings. - Yinuo Xu; Zachary A. Pardos (LAK, 2024)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. - Frederik Baucks; Robin Schmucker; Conrad Borchers; Zachary A. Pardos; Laurenz Wiskott (L@S, 2024)

Evaluating the psychometric properties of ChatGPT-generated questions. - Shreya Bhandari; Yunting Liu; Yerin Kwak; Zachary A. Pardos (Comput. Educ. Artif. Intell., 2024)

Aligning open educational resources to new taxonomies: How AI technologies can help and in which scenarios. - Zhi Li 078; Zachary A. Pardos; Cheng Ren (Comput. Educ., 2024)

Human-AI Collaboration Increases Skill Tagging Speed but Degrades Accuracy. - Cheng Ren; Zachary A. Pardos; Zhi Li 078 (CoRR, 2024)

Survey of Computerized Adaptive Testing: A Machine Learning Perspective. - Qi Liu 003; Yan Zhuang; Haoyang Bi; Zhenya Huang; Weizhe Huang; Jiatong Li 002; Junhao Yu; Zirui Liu 010; Zirui Hu; Yuting Hong; Zachary A. Pardos; Haiping Ma; et al. (CoRR, 2024)

Representational Alignment Supports Effective Machine Teaching. - Ilia Sucholutsky; Katherine M. Collins; Maya Malaviya; Nori Jacoby; Weiyang Liu; Theodore R. Sumers; Michalis Korakakis; Umang Bhatt; Mark K. Ho; Joshua B. Tenenbaum; Bradley C. Love; Zachary A. Pardos; et al. (CoRR, 2024)

Bridging large language model disparities: Skill tagging of multilingual educational content. - Yerin Kwak; Zachary A. Pardos (Br. J. Educ. Technol., 2024)

Implementing equitable and intersectionality-aware ML in education: A practical guide. - Mudit Mangal; Zachary A. Pardos (Br. J. Educ. Technol., 2024)

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 (CHI, 2025)

Generating Change: AI as an Opportunity to Address Long-Standing OER Challenges. - Ioannis Anastasopoulos; Zachary A. Pardos (EC-TEL (2), 2025)

Designing the Course Load Analytics Platform. - Conrad Borchers; Shreya K. Sheel; Anirudh Pai; Sher Shah; Zachary A. Pardos (EC-TEL (2), 2025)

Temperature is All You Need: Approximating Human Mathematics Hint Efficacy with LLMs. - Zachary A. Pardos; Shreya Bhandari (EC-TEL (2), 2025)

PromptHive: Demonstrating Collaborative, Human-Centered OER Creation with LLMs. - Zachary A. Pardos; Shreya Bhandari; Ioannis Anastasopoulos (EC-TEL (2), 2025)

Can Language Models Grade Algebra Worked Solutions? Evaluating LLM-Based Autograders Against Human Grading. - Shreya Bhandari; Zach A. Pardos (EDM, 2025)

When LLMs Hallucinate: Examining the Effects of Erroneous Feedback in Math Tutoring Systems. - Marlene Steinbach; Shreya Bhandari; Jennifer Meyer; Zach A. Pardos (EDM, 2025)

Generative AI and Learning Analytics: Pushing Boundaries, Preserving Principles. - Hassan Khosravi; Antonette Shibani; Jelena Jovanovic 001; Zachary A. Pardos; Lixiang Yan (J. Learn. Anal., 2025)

AI-Augmented Advising: A Comparative Study of GPT-4 and Advisor-based Major Recommendations. - Kasra Lekan; Zachary A. Pardos (J. Learn. Anal., 2025)

Leveraging LLM respondents for item evaluation: A psychometric analysis. - Yunting Liu; Shreya Bhandari; Zachary A. Pardos (Br. J. Educ. Technol., 2025)