Zachary A. Pardos

157 papers A* 6A 23B 50C 1Misc 3Journal 48Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advancing credit mobility through stakeholder-informed AI design and adoption.
CoRR
Yerin Kwak, Siddharth Adelkar, Zachary A. Pardos
2026 J jnl
Protecting and Promoting Human Agency in Education in the Age of Artificial Intelligence.
CoRR
Olga Viberg, Mutlu Cukurova, René F. Kizilcec, Simon Buckingham Shum, Dorottya Demszky, Dragan Gasevic, Thorben Jansen, Ioana Jivet, Jelena Jovanovic, Jennifer Meyer, Kou Murayama, Zachary A. Pardos, Chris Piech, Nikol Rummel, Naomi E. Winstone
2026 A conf
Strengthening Course Transfer Pathways Using Graph-Theoretic Articulation Networks.
LAK
Yerin Kwak, Robin Schmucker, Zachary A. Pardos
2026 J jnl
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
CoRR
Jennifer Meyer, Olaf Köller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, René F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Pünjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi E. Winstone
2026 J jnl
The RIGID Framework: Research-Integrated, Generative AI-Mediated Instructional Design.
CoRR
Yerin Kwak, Zachary A. Pardos
2026 A conf
Toward Trait-Aware Learning Analytics.
LAK
Conrad Borchers, Hannah Deininger, Zachary A. Pardos
2026 J jnl
Toward Trait-Aware Learning Analytics.
CoRR
Conrad Borchers, Hannah Deininger, Zachary A. Pardos
2025 J jnl
AI-Augmented Advising: A Comparative Study of GPT-4 and Advisor-based Major Recommendations.
J. Learn. Anal.
Kasra Lekan, Zachary A. Pardos
2025 J jnl
Course Load Analytics Interventions on Higher Education Course Selection: Experimental Evidence.
J. Learn. Anal.
Conrad Borchers, Zachary A. Pardos
2025 — conf
Designing the Course Load Analytics Platform.
EC-TEL (2)
Conrad Borchers, Shreya K. Sheel, Anirudh Pai, Sher Shah, Zachary A. Pardos
2025 — conf
Generating Change: AI as an Opportunity to Address Long-Standing OER Challenges.
EC-TEL (2)
Ioannis Anastasopoulos, Zachary A. Pardos
2025 J jnl
Generative AI and Learning Analytics: Pushing Boundaries, Preserving Principles.
J. Learn. Anal.
Hassan Khosravi, Antonette Shibani, Jelena Jovanovic, Zachary A. Pardos, Lixiang Yan
2025 J jnl
Leveraging LLM respondents for item evaluation: A psychometric analysis.
Br. J. Educ. Technol.
Yunting Liu, Shreya Bhandari, Zachary A. Pardos
2025 — conf
Position: AI Evaluation Should Learn from How We Test Humans.
ICML (Position Papers)
Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen
2025 A* conf
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation.
CHI
Mohi Reza, Ioannis Anastasopoulos, Shreya Bhandari, Zachary A. Pardos
2025 — conf
PromptHive: Demonstrating Collaborative, Human-Centered OER Creation with LLMs.
EC-TEL (2)
Zachary A. Pardos, Shreya Bhandari, Ioannis Anastasopoulos
2025 J jnl
Skill-based Explanations for Serendipitous Course Recommendation.
CoRR
Hung Chau, Run Yu, Zachary A. Pardos, Peter Brusilovsky
2025 — conf
Temperature is All You Need: Approximating Human Mathematics Hint Efficacy with LLMs.
EC-TEL (2)
Zachary A. Pardos, Shreya Bhandari
2024 — conf
AI for Adaptive Tutoring and Transfer Student Success.
CSEDU
Zachary A. Pardos
2024 J jnl
Aligning open educational resources to new taxonomies: How AI technologies can help and in which scenarios.
Comput. Educ.
Zhi Li, Zachary A. Pardos, Cheng Ren
2024 B conf
Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education.
EDM
Conrad Borchers, Yinuo Xu, Zachary A. Pardos
2024 B conf
Auditing an Automatic Grading Model with deep Reinforcement Learning.
EDM
Aubrey Condor, Zachary A. Pardos
2024 J jnl
Auditing an Automatic Grading Model with deep Reinforcement Learning.
CoRR
Aubrey Condor, Zachary A. Pardos
2024 J jnl
Bridging large language model disparities: Skill tagging of multilingual educational content.
Br. J. Educ. Technol.
Yerin Kwak, Zachary A. Pardos
2024 A conf
Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs.
LAK
Shreya K. Sheel, Ioannis Anastasopoulos, Zachary A. Pardos
2024 J jnl
Evaluating the psychometric properties of ChatGPT-generated questions.
Comput. Educ. Artif. Intell.
Shreya Bhandari, Yunting Liu, Yerin Kwak, Zachary A. Pardos
2024 — conf
Explainable Automatic Grading with Neural Additive Models.
AIED (1)
Aubrey Condor, Zachary A. Pardos
2024 J jnl
Explainable Automatic Grading with Neural Additive Models.
CoRR
Aubrey Condor, Zachary A. Pardos
2024 A conf
Extracting Course Similarity Signal using Subword Embeddings.
LAK
Yinuo Xu, Zachary A. Pardos
2024 B conf
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning.
L@S
Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
2024 J jnl
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning.
CoRR
Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
2024 J jnl
Human-AI Collaboration Increases Skill Tagging Speed but Degrades Accuracy.
CoRR
Cheng Ren, Zachary A. Pardos, Zhi Li
2024 J jnl
Implementing equitable and intersectionality-aware ML in education: A practical guide.
Br. J. Educ. Technol.
Mudit Mangal, Zachary A. Pardos
2024 J jnl
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis.
CoRR
Yunting Liu, Shreya Bhandari, Zachary A. Pardos
2024 J jnl
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation.
CoRR
Mohi Reza, Ioannis Anastasopoulos, Shreya Bhandari, Zachary A. Pardos
2024 J jnl
Representational Alignment Supports Effective Machine Teaching.
CoRR
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, Adrian Weller, Thomas L. Griffiths
2024 J jnl
Survey of Computerized Adaptive Testing: A Machine Learning Perspective.
CoRR
Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
2023 A* conf
A Bounded Ability Estimation for Computerized Adaptive Testing.
NeurIPS
Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li
2023 Misc conf
An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application.
OZCHI
Sara Khorasani, Sadia Nawaz, Brandon Victor Syiem, Jing Wei, Zachary A. Pardos, Jarrod Knibbe, Eduardo Velloso
2023 — conf
Conducting Rapid Experimentation with an Open-Source Adaptive Tutoring System.
AIED (Posters/Late Breaking Results/...)
Zachary A. Pardos, Ioannis Anastasopoulos, Shreya K. Sheel
2023 B conf
Convincing the Expert: Reducing Algorithm Aversion in Administrative Higher Education Decision-making.
L@S
Lingrui Xu, Zachary A. Pardos, Anirudh Pai
2023 J jnl
Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records.
Internet High. Educ.
Zachary A. Pardos, Conrad Borchers, Run Yu
2023 A conf
Insights into undergraduate pathways using course load analytics.
LAK
Conrad Borchers, Zachary A. Pardos
2023 B conf
Introducing an Open-source Adaptive Tutoring System to Accelerate Learning Sciences Experimentation.
L@S
Ioannis Anastasopoulos, Shreya K. Sheel, Zachary A. Pardos, Shreya Bhandari
2023 J jnl
Learning gain differences between ChatGPT and human tutor generated algebra hints.
CoRR
Zachary A. Pardos, Shreya Bhandari
2023 B conf
Mining Detailed Course Transaction Records for Semantic Information.
EDM
Yinuo Xu, Zachary A. Pardos
2023 A* conf
OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research.
CHI
Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang
2022 B conf
A deep reinforcement learning approach to automatic formative feedback.
EDM
Aubrey Condor, Zachary A. Pardos
2022 J jnl
Characterizing learner behavior from touchscreen data.
Int. J. Child Comput. Interact.
Zachary A. Pardos, Leah F. Rosenbaum, Dor Abrahamson
2022 B conf
Does chronology matter? Sequential vs contextual approaches to knowledge tracing.
EDM
Yueqi Wang, Zachary A. Pardos
2022 J jnl
Insights into undergraduate pathways using course load analytics.
CoRR
Conrad Borchers, Zachary A. Pardos
2022 J jnl
Learning analytics of embodied design: Enhancing synergy.
Int. J. Child Comput. Interact.
Dor Abrahamson, Marcelo Worsley, Zachary A. Pardos, Lu Ou
2022 — conf
Representing Scoring Rubrics as Graphs for Automatic Short Answer Grading.
AIED (1)
Aubrey Condor, Zachary A. Pardos, Marcia C. Linn
2021 B conf
Automatic short answer grading with SBERT on out-of-sample questions.
EDM
Aubrey Condor, Max Litster, Zachary A. Pardos
2021 A* conf
Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest.
AAAI
Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos
2021 A* conf
Item Response Ranking for Cognitive Diagnosis.
IJCAI
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
2021 A conf
Learning Skill Equivalencies Across Platform Taxonomies.
LAK
Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos
2021 J jnl
Learning Skill Equivalencies Across Platform Taxonomies.
CoRR
Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos
2021 — conf
Orienting Students to Course Recommendations Using Three Types of Explanation.
UMAP (Adjunct Publication)
Run Yu, Zachary A. Pardos, Hung Chau, Peter Brusilovsky
2021 C conf
Towards Equity and Algorithmic Fairness in Student Grade Prediction.
AIES
Weijie Jiang, Zachary A. Pardos
2021 J jnl
Towards Equity and Algorithmic Fairness in Student Grade Prediction.
CoRR
Weijie Jiang, Zachary A. Pardos
2021 J jnl
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment.
CoRR
Renzhe Yu, John Scott, Zachary A. Pardos
2021 A conf
Which one's more work? Predicting effective credit hours between courses.
LAK
Shruthi Chockkalingam, Run Yu, Zachary A. Pardos
2021 B conf
pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models.
EDM
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos
2021 J jnl
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models.
CoRR
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos
2020 B conf
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling.
EDM
Clarence Chen, Zachary A. Pardos
2020 J jnl
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling.
CoRR
Clarence Chen, Zachary A. Pardos
2020 A conf
Designing for serendipity in a university course recommendation system.
LAK
Zachary A. Pardos, Weijie Jiang
2020 B conf
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks.
EDM
Weijie Jiang, Zachary A. Pardos
2020 B conf
Lexical Relation Mining in Neural Word Embeddings.
COLING
Aishwarya Jadhav, Yifat Amir, Zachary A. Pardos
2020 B conf
Understanding the Source of Semantic Regularities in Word Embeddings.
CoNLL
Hsiao-Yu Chiang, José Camacho-Collados, Zachary A. Pardos
2019 J jnl
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization.
J. Learn. Anal.
Zachary A. Pardos, Lev Horodyskyj
2019 B conf
Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction.
EDM
Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn
2019 B conf
Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction.
EDM
Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn
2019 B conf
Binary Q-matrix Learning with dAFM.
EDM
Nan Jiang, Zachary A. Pardos
2019 J jnl
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System.
CoRR
Zachary A. Pardos, Weijie Jiang
2019 J jnl
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance.
User Model. User Adapt. Interact.
Zachary A. Pardos, Zihao Fan, Weijie Jiang
2019 B conf
Data-Assistive Course-to-Course Articulation Using Machine Translation.
L@S
Zachary A. Pardos, Hung Chau, Haocheng Zhao
2019 — conf
Degree Curriculum Contraction: A Vector Space Approach.
AIED (2)
Mohamed Alkaoud, Zachary A. Pardos
2019 B conf
Design and Deployment of a Better Course Search Tool: Inferring Latent Keywords from Enrollment Networks.
EC-TEL
Matthew Dong, Run Yu, Zachary A. Pardos
2019 B conf
Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments.
EDM
Matthew Dong, Run Yu, Zachary A. Pardos
2019 — conf
Designing for Serendipity in a University Course Recommendation System.
IntRS@RecSys
Zachary A. Pardos, Weijie Jiang
2019 B conf
Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding.
EDM
John Kolb, Scott Farrar, Zachary A. Pardos
2019 A conf
Goal-based Course Recommendation.
LAK
Weijie Jiang, Zachary A. Pardos, Qiang Wei
2019 — conf
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course.
EDM (Workshops)
Renzhe Yu, Zachary A. Pardos, John Scott
2019 A conf
Time slice imputation for personalized goal-based recommendation in higher education.
RecSys
Weijie Jiang, Zachary A. Pardos
2018 J jnl
A Map of Knowledge.
CoRR
Zachary A. Pardos, Andrew Joo Hun Nam
2018 A conf
AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only).
SIGCSE
Zhiping Xiao, Siqi Li, Zachary A. Pardos
2018 — conf
Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks.
UMAP (Adjunct Publication)
Zachary A. Pardos, Changran Hu, Pengqiu Meng, Michael Neff, Dor Abrahamson
2018 — conf
Communication at Scale in a MOOC Using Predictive Engagement Analytics.
AIED (1)
Christopher Vu Le, Zachary A. Pardos, Samuel D. Meyer, Rachel Thorp
2018 J jnl
Connectionist Recommendation in the Wild.
CoRR
Zachary A. Pardos, Zihao Fan, Weijie Jiang
2018 — conf
Deep Knowledge Tracing for Free-Form Student Code Progression.
AIED (2)
Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler
2018 A* conf
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space.
AAAI
Yuetian Luo, Zachary A. Pardos
2018 — conf
Distributed Representation of Misconceptions.
ICLS
Zachary A. Pardos, Scott Farrar, John Kolb, Gao Xian Peh, Jong Ha Lee
2018 J jnl
Goal-based Course Recommendation.
CoRR
Weijie Jiang, Zachary A. Pardos, Qiang Wei
2017 J jnl
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization.
CoRR
Zachary A. Pardos, Lev Horodyskyj
2017 — conf
CSCL and Eye-Tracking: Experiences, Opportunities and Challenges.
CSCL
Kshitij Sharma, Patrick Jermann, Pierre Dillenbourg, Luis Pablo Prieto, Sarah D'Angelo, Darren Gergle, Bertrand Schneider, Martina A. Rau, Zachary A. Pardos, Nikol Rummel
2017 B conf
Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework.
L@S
Zachary A. Pardos, Steven Tang, Daniel Davis, Christopher Vu Le
2017 A conf
Imputing KCs with Representations of Problem Content and Context.
UMAP
Zachary A. Pardos, Anant Dadu
2017 — conf
Personalized Behavior Recommendation: A Case Study of Applicability to 13 Courses on edX.
UMAP (Adjunct Publication)
Steven Tang, Zachary A. Pardos
2016 B conf
Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy.
EDM
Martina A. Rau, Zachary A. Pardos
2016 B conf
Deep Neural Networks and How They Apply to Sequential Education Data.
L@S
Steven Tang, Joshua C. Peterson, Zachary A. Pardos
2016 A conf
Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization.
LAK
Zachary A. Pardos, Yanbo Xu
2016 J jnl
Modelling Student Behavior using Granular Large Scale Action Data from a MOOC.
CoRR
Steven Tang, Joshua C. Peterson, Zachary A. Pardos
2016 B conf
Predicting Student Learning using Log Data from Interactive Simulations on Climate Change.
L@S
Elizabeth A. McBride, Jonathan M. Vitale, Hannah Gogel, Mario M. Martinez, Zachary A. Pardos, Marcia C. Linn
2016 J jnl
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics.
J. Learn. Anal.
John C. Stamper, Zachary A. Pardos
2016 J jnl
moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization.
Technol. Knowl. Learn.
Zachary A. Pardos, Anthony Whyte, Kevin Kao
2015 J jnl
Commentary On "Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs".
J. Learn. Anal.
Zachary A. Pardos
2015 B conf
Desirable Difficulty and Other Predictors of Effective Item Orderings.
EDM
Steven Tang, Hannah Gogel, Elizabeth A. McBride, Zachary A. Pardos
2015 A conf
Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance.
UMAP
Seth Corrigan, Tiffany Barkley, Zachary A. Pardos
2015 B conf
Ethics and Privacy in EDM.
EDM
Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane
2015 B conf
Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data.
EDM
Zachary MacHardy, Zachary A. Pardos
2015 — conf
Is this Model for Real? Simulating Data to Reveal the Proximity of a Model to Reality.
AIED Workshops
Rinat B. Rosenberg-Kima, Zachary A. Pardos
2015 B conf
Item Ordering Effects with Qualitative Explanations using Online Adaptive Tutoring Data.
L@S
Steven Tang, Elizabeth A. McBride, Hannah Gogel, Zachary A. Pardos
2015 J jnl
The Utility of Clustering in Prediction Tasks.
CoRR
Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan
2015 B conf
Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data.
L@S
Zachary MacHardy, Zachary A. Pardos
2015 A conf
Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry.
AIED
Joshua C. Peterson, Zachary A. Pardos, Martina A. Rau, Anna Swigart, Colin Gerber, Jonathan McKinsey
2015 B conf
moocRP: An Open-source Analytics Platform.
L@S
Zachary A. Pardos, Kevin Kao
2014 — conf
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing.
EDM (Workshops)
Asif Dhanani, Seung Yeon Lee, Phitchaya Mangpo Phothilimthana, Zachary A. Pardos
2014 J jnl
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes.
J. Learn. Anal.
Zachary A. Pardos, Ryan S. Baker, Maria Ofelia San Pedro, Sujith M. Gowda, Supreeth M. Gowda
2014 J jnl
How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study.
Int. J. Artif. Intell. Educ.
Martina A. Rau, Vincent Aleven, Nikol Rummel, Zachary A. Pardos
2014 — conf
Is this Data for Real?
EDM (Workshops)
Rinat B. Rosenberg-Kima, Zachary A. Pardos
2014 — conf
MOOCShop 2014.
ICLS
Steven Lonn, Christopher Brooks, Zachary A. Pardos, Barry W. Peddycord III, Emily Schneider, Ido Roll, Ashley Shaw
2014 B ed.
Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014, London, UK, July 4-7, 2014
EDM
John C. Stamper, Zachary A. Pardos, Manolis Mavrikis, Bruce M. McLaren
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
2013 B conf
A Spectral Learning Approach to Knowledge Tracing.
EDM
Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky
2013 B conf
Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX.
EDM
Zachary A. Pardos, Yoav Bergner, Daniel T. Seaton, David E. Pritchard
2013 A conf
Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes.
LAK
Zachary A. Pardos, Ryan Shaun Joazeiro de Baker, Maria Ofelia Clarissa Z. San Pedro, Sujith M. Gowda, Supreeth M. Gowda
2013 — conf
Developing Data Standards and Systems for MOOC Data Science.
AIED Workshops
Kalyan Veeramachaneni, Franck Dernoncourt, Colin Taylor, Zachary A. Pardos, Una-May O'Reilly
2013 A conf
First Annual Workshop on Massive Open Online Courses.
AIED
Zachary A. Pardos, Emily Schneider
2013 — conf
Towards Moment of Learning Accuracy.
AIED Workshops
Zachary A. Pardos, Michael Yudelson
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
Content Learning Analysis Using the Moment-by-Moment Learning Detector.
ITS
Sujith M. Gowda, Zachary A. Pardos, Ryan Shaun Joazeiro de Baker
2012 B conf
Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques.
EDM
Martina A. Rau, Zachary A. Pardos
2012 B conf
Knowledge Component Suggestion for Untagged Content in an Intelligent Tutoring System.
ITS
Mario Karlovcec, Mariheida Cordova-Sanchez, Zachary A. Pardos
2012 B conf
The real world significance of performance prediction.
EDM
Zachary A. Pardos, Qing Yang Wang, Shubhendu Trivedi
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
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 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
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 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
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 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
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
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
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 — 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