Zachary A. Pardos

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 83

Top Venues

Publications

Zhi Li, Zachary A. Pardos, Cheng Ren
Aligning open educational resources to new taxonomies: How AI technologies can help and in which scenarios. Comput. Educ. 216 (2024)
Aubrey Condor, Zachary A. Pardos
Explainable Automatic Grading with Neural Additive Models. AIED (1) (2024)
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
Representational Alignment Supports Effective Machine Teaching. CoRR (2024)
Aubrey Condor, Zachary A. Pardos
Explainable Automatic Grading with Neural Additive Models. CoRR (2024)
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
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR (2024)
Aubrey Condor, Zachary A. Pardos
Auditing an Automatic Grading Model with deep Reinforcement Learning. CoRR (2024)
Cheng Ren, Zachary A. Pardos, Zhi Li
Human-AI Collaboration Increases Skill Tagging Speed but Degrades Accuracy. CoRR (2024)
Yinuo Xu, Zachary A. Pardos
Extracting Course Similarity Signal using Subword Embeddings. LAK (2024)
Zachary A. Pardos
AI for Adaptive Tutoring and Transfer Student Success. CSEDU (2024)
Shreya K. Sheel, Ioannis Anastasopoulos, Zachary A. Pardos
Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs. LAK (2024)
Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S (2024)
Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. CoRR (2024)
Yunting Liu, Shreya Bhandari, Zachary A. Pardos
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis. CoRR (2024)
Yinuo Xu, Zachary A. Pardos
Mining Detailed Course Transaction Records for Semantic Information. EDM (2023)
Zachary A. Pardos, Shreya Bhandari
Learning gain differences between ChatGPT and human tutor generated algebra hints. CoRR (2023)
Conrad Borchers, Zachary A. Pardos
Insights into undergraduate pathways using course load analytics. LAK (2023)
Lingrui Xu, Zachary A. Pardos, Anirudh Pai
Convincing the Expert: Reducing Algorithm Aversion in Administrative Higher Education Decision-making. L@S (2023)
Sara Khorasani, Sadia Nawaz, Brandon Victor Syiem, Jing Wei, Zachary A. Pardos, Jarrod Knibbe, Eduardo Velloso
An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application. OZCHI (2023)
Zachary A. Pardos, Ioannis Anastasopoulos, Shreya K. Sheel
Conducting Rapid Experimentation with an Open-Source Adaptive Tutoring System. AIED (Posters/Late Breaking Results/...) (2023)
Zachary A. Pardos, Conrad Borchers, Run Yu
Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records. Internet High. Educ. 56 (2023)
Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li
A Bounded Ability Estimation for Computerized Adaptive Testing. NeurIPS (2023)
Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang
OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research. CHI (2023)
Ioannis Anastasopoulos, Shreya K. Sheel, Zachary A. Pardos, Shreya Bhandari
Introducing an Open-source Adaptive Tutoring System to Accelerate Learning Sciences Experimentation. L@S (2023)
Zachary A. Pardos, Leah F. Rosenbaum, Dor Abrahamson
Characterizing learner behavior from touchscreen data. Int. J. Child Comput. Interact. 31 (2022)
Aubrey Condor, Zachary A. Pardos, Marcia C. Linn
Representing Scoring Rubrics as Graphs for Automatic Short Answer Grading. AIED (1) (2022)
Conrad Borchers, Zachary A. Pardos
Insights into undergraduate pathways using course load analytics. CoRR (2022)
Yueqi Wang, Zachary A. Pardos
Does chronology matter? Sequential vs contextual approaches to knowledge tracing. EDM (2022)
Dor Abrahamson, Marcelo Worsley, Zachary A. Pardos, Lu Ou
Learning analytics of embodied design: Enhancing synergy. Int. J. Child Comput. Interact. 32 (2022)
Aubrey Condor, Zachary A. Pardos
A deep reinforcement learning approach to automatic formative feedback. EDM (2022)
Aubrey Condor, Max Litster, Zachary A. Pardos
Automatic short answer grading with SBERT on out-of-sample questions. EDM (2021)
Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos
Learning Skill Equivalencies Across Platform Taxonomies. CoRR (2021)
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos
pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. EDM (2021)
Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos
Learning Skill Equivalencies Across Platform Taxonomies. LAK (2021)
Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models. CoRR (2021)
Weijie Jiang, Zachary A. Pardos
Towards Equity and Algorithmic Fairness in Student Grade Prediction. AIES (2021)
Renzhe Yu, John Scott, Zachary A. Pardos
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment. CoRR (2021)
Run Yu, Zachary A. Pardos, Hung Chau, Peter Brusilovsky
Orienting Students to Course Recommendations Using Three Types of Explanation. UMAP (Adjunct Publication) (2021)
Shruthi Chockkalingam, Run Yu, Zachary A. Pardos
Which one's more work? Predicting effective credit hours between courses. LAK (2021)
Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos
Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest. AAAI (2021)
Weijie Jiang, Zachary A. Pardos
Towards Equity and Algorithmic Fairness in Student Grade Prediction. CoRR (2021)
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
Item Response Ranking for Cognitive Diagnosis. IJCAI (2021)
Aishwarya Jadhav, Yifat Amir, Zachary A. Pardos
Lexical Relation Mining in Neural Word Embeddings. COLING (2020)
Weijie Jiang, Zachary A. Pardos
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks. EDM (2020)
Clarence Chen, Zachary A. Pardos
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling. CoRR (2020)
Clarence Chen, Zachary A. Pardos
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling. EDM (2020)
Zachary A. Pardos, Weijie Jiang
Designing for serendipity in a university course recommendation system. LAK (2020)
Hsiao-Yu Chiang, José Camacho-Collados, Zachary A. Pardos
Understanding the Source of Semantic Regularities in Word Embeddings. CoNLL (2020)
Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn
Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. EDM (2019)
Mohamed Alkaoud, Zachary A. Pardos
Degree Curriculum Contraction: A Vector Space Approach. AIED (2) (2019)
Matthew Dong, Run Yu, Zachary A. Pardos
Design and Deployment of a Better Course Search Tool: Inferring Latent Keywords from Enrollment Networks. EC-TEL (2019)
Weijie Jiang, Zachary A. Pardos
Time slice imputation for personalized goal-based recommendation in higher education. RecSys (2019)
Zachary A. Pardos, Hung Chau, Haocheng Zhao
Data-Assistive Course-to-Course Articulation Using Machine Translation. L@S (2019)
Zachary A. Pardos, Zihao Fan, Weijie Jiang
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance. User Model. User Adapt. Interact. 29 (2) (2019)
Matthew Dong, Run Yu, Zachary A. Pardos
Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments. EDM (2019)
John Kolb, Scott Farrar, Zachary A. Pardos
Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding. EDM (2019)
Weijie Jiang, Zachary A. Pardos, Qiang Wei
Goal-based Course Recommendation. LAK (2019)
Nan Jiang, Zachary A. Pardos
Binary Q-matrix Learning with dAFM. EDM (2019)
Zachary A. Pardos, Weijie Jiang
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System. CoRR (2019)
Renzhe Yu, Zachary A. Pardos, John Scott
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course. EDM (Workshops) (2019)
Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn
Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. EDM (2019)
Zachary A. Pardos, Lev Horodyskyj
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization. J. Learn. Anal. 6 (1) (2019)
Zachary A. Pardos, Weijie Jiang
Designing for Serendipity in a University Course Recommendation System. IntRS@RecSys (2019)
Yuetian Luo, Zachary A. Pardos
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. AAAI (2018)
Zachary A. Pardos, Andrew Joo Hun Nam
A Map of Knowledge. CoRR (2018)
Christopher Vu Le, Zachary A. Pardos, Samuel D. Meyer, Rachel Thorp
Communication at Scale in a MOOC Using Predictive Engagement Analytics. AIED (1) (2018)
Zachary A. Pardos, Changran Hu, Pengqiu Meng, Michael Neff, Dor Abrahamson
Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks. UMAP (Adjunct Publication) (2018)
Vinitra Swamy, Allen Guo, Samuel Lau, Wilton Wu, Madeline Wu, Zachary A. Pardos, David E. Culler
Deep Knowledge Tracing for Free-Form Student Code Progression. AIED (2) (2018)
Zachary A. Pardos, Zihao Fan, Weijie Jiang
Connectionist Recommendation in the Wild. CoRR (2018)
Zachary A. Pardos, Scott Farrar, John Kolb, Gao Xian Peh, Jong Ha Lee
Distributed Representation of Misconceptions. ICLS (2018)
Weijie Jiang, Zachary A. Pardos, Qiang Wei
Goal-based Course Recommendation. CoRR (2018)
Zhiping Xiao, Siqi Li, Zachary A. Pardos
AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only). SIGCSE (2018)
Zachary A. Pardos, Steven Tang, Daniel Davis, Christopher Vu Le
Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework. L@S (2017)
Zachary A. Pardos, Anant Dadu
Imputing KCs with Representations of Problem Content and Context. UMAP (2017)
Zachary A. Pardos, Lev Horodyskyj
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization. CoRR (2017)
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 and Eye-Tracking: Experiences, Opportunities and Challenges. CSCL (2017)
Steven Tang, Zachary A. Pardos
Personalized Behavior Recommendation: A Case Study of Applicability to 13 Courses on edX. UMAP (Adjunct Publication) (2017)
Steven Tang, Joshua C. Peterson, Zachary A. Pardos
Modelling Student Behavior using Granular Large Scale Action Data from a MOOC. CoRR (2016)
Martina A. Rau, Zachary A. Pardos
Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. EDM (2016)
John C. Stamper, Zachary A. Pardos
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics. J. Learn. Anal. 3 (2) (2016)
Steven Tang, Joshua C. Peterson, Zachary A. Pardos
Deep Neural Networks and How They Apply to Sequential Education Data. L@S (2016)
Elizabeth A. McBride, Jonathan M. Vitale, Hannah Gogel, Mario M. Martinez, Zachary A. Pardos, Marcia C. Linn
Predicting Student Learning using Log Data from Interactive Simulations on Climate Change. L@S (2016)
Zachary A. Pardos, Anthony Whyte, Kevin Kao
moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization. Technol. Knowl. Learn. 21 (1) (2016)
Zachary A. Pardos, Yanbo Xu
Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization. LAK (2016)
Zachary MacHardy, Zachary A. Pardos
Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data. L@S (2015)
Zachary A. Pardos
Commentary On "Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs". J. Learn. Anal. 2 (2) (2015)
Seth Corrigan, Tiffany Barkley, Zachary A. Pardos
Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance. UMAP (2015)
Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane
Ethics and Privacy in EDM. EDM (2015)
Steven Tang, Hannah Gogel, Elizabeth A. McBride, Zachary A. Pardos
Desirable Difficulty and Other Predictors of Effective Item Orderings. EDM (2015)
Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan
The Utility of Clustering in Prediction Tasks. CoRR (2015)
Steven Tang, Elizabeth A. McBride, Hannah Gogel, Zachary A. Pardos
Item Ordering Effects with Qualitative Explanations using Online Adaptive Tutoring Data. L@S (2015)
Rinat B. Rosenberg-Kima, Zachary A. Pardos
Is this Model for Real? Simulating Data to Reveal the Proximity of a Model to Reality. AIED Workshops (2015)
Zachary A. Pardos, Kevin Kao
moocRP: An Open-source Analytics Platform. L@S (2015)
Zachary MacHardy, Zachary A. Pardos
Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data. EDM (2015)
Joshua C. Peterson, Zachary A. Pardos, Martina A. Rau, Anna Swigart, Colin Gerber, Jonathan McKinsey
Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry. AIED (2015)
Rinat B. Rosenberg-Kima, Zachary A. Pardos
Is this Data for Real? EDM (Workshops) (2014)
Steven Lonn, Christopher Brooks, Zachary A. Pardos, Barry W. Peddycord III, Emily Schneider, Ido Roll, Ashley Shaw
MOOCShop 2014. ICLS (2014)
Asif Dhanani, Seung Yeon Lee, Phitchaya Phothilimthana, Zachary A. Pardos
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing. EDM (Workshops) (2014)
Zachary A. Pardos, Ryan S. Baker, Maria Ofelia San Pedro, Sujith M. Gowda, Supreeth M. Gowda
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes. J. Learn. Anal. 1 (1) (2014)
Seth Adjei, Douglas Selent, Neil T. Heffernan, Zachary A. Pardos, Angela Broaddus, Neal Kingston
Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. EDM (2014)
Martina A. Rau, Vincent Aleven, Nikol Rummel, Zachary A. Pardos
How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study. Int. J. Artif. Intell. Educ. 24 (2) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zachary A. Pardos