Zachary A. Pardos

发表

A Map of Knowledge pdf

Zachary A. Pardos, Andrew Joo Hun Nam, Z. Pardos, 2018, ArXiv.

Evaluating the Relevance of Educational Videos Using BKT and Big Data.

Zachary A. Pardos, Zachary MacHardy, 2015, EDM 2015.

Deep Knowledge Tracing for Free-Form Student Code Progression

Zachary A. Pardos, David Culler, Vinitra Swamy, 2018, AIED.

dAFM: Fusing Psychometric and Connectionist Modeling for Q-Matrix Refinement.

Zachary A. Pardos, Anant Dadu, 2018 .

Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization pdf

Zachary A. Pardos, Lev Horodyskyj, 2017, ArXiv.

Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework

Zachary A. Pardos, Daniel Davis, Steven Tang, 2017, L@S.

Is this Model for Real? Simulating Data to Reveal the Proximity of a Model to Reality

Zachary A. Pardos, Rinat B. Rosenberg-Kima, 2015, AIED Workshops.

Ethics and Privacy in EDM

Zachary A. Pardos, Mykola Pechenizkiy, Dragan Gasevic, 2015, EDM.

Predicting Student Learning using Log Data from Interactive Simulations on Climate Change

Zachary A. Pardos, Marcia C. Linn, Jonathan M. Vitale, 2016, L@S.

Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance

Zachary A. Pardos, Tiffany Barkley, Seth Corrigan, 2015, UMAP.

Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks

Zachary A. Pardos, Dor Abrahamson, Michael Neff, 2018, UMAP.

Proceedings of the Seventh International Conference on Educational Data Mining (EDM) (7th, London, United Kingdom, July 4-7, 2014).

Zachary A. Pardos, Manolis Mavrikis, John C. Stamper, 2014, EDM 2014.

Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding

Zachary A. Pardos, John Kolb, Scott Farrar, 2019, EDM.

Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing

Zachary A. Pardos, Neil T. Heffernan, N. Heffernan, 2010, UMAP.

moocRP: An Open-source Analytics Platform

Zachary A. Pardos, Kevin Kao, 2015, L@S.

The real world significance of performance prediction

Zachary A. Pardos, Qing Yang Wang, Shubhendu Trivedi, 2012, EDM.

Time slice imputation for personalized goal-based recommendation in higher education

Zachary A. Pardos, Weijie Jiang, Z. Pardos, 2019, RecSys.

Is this Data for Real?

Zachary A. Pardos, Rinat B. Rosenberg-Kima, 2014, EDM.

Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance

Zachary A. Pardos, Zihao Fan, Weijie Jiang, 2018, User Modeling and User-Adapted Interaction.

Goal-based Course Recommendation

Zachary A. Pardos, Qiang Wei, Weijie Jiang, 2018, LAK.

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System

Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker, 2011, EDM.

Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System

Zachary A. Pardos, Neil T. Heffernan, Mingyu Feng, 2011, EDM.

The School of Information and its relationship to computer science at UC Berkeley

Zachary A. Pardos, Andrew Joo Hun Nam, 2017 .

Design and Deployment of a Better Course Search Tool: Inferring Latent Keywords from Enrollment Networks

Zachary A. Pardos, Run Yu, Matthew Dong, 2019, EC-TEL.

Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing

Zachary A. Pardos, Neil T. Heffernan, Hanyuan Lu, 2011, EDM.

The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS

Carolina Ruiz, Zachary A. Pardos, Neil T. Heffernan, 2008, EDM.

Degree Curriculum Contraction: A Vector Space Approach

Zachary A. Pardos, Mohamed Alkaoud, Z. Pardos, 2019, AIED.

Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods

Zachary A. Pardos, Neil T. Heffernan, Mingyu Feng, 2007, AIED.

The Utility of Clustering in Prediction Tasks pdf

Zachary A. Pardos, Neil T. Heffernan, Shubhendu Trivedi, 2015, ArXiv.

Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction

Zachary A. Pardos, Neil T. Heffernan, Gábor N. Sárközy, 2012, EDM.

Evaluating sources of course information and models of representation on a variety of institutional prediction tasks

Zachary A. Pardos, Weijie Jiang, Z. Pardos, 2020, EDM.

Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX

Zachary A. Pardos, Yoav Bergner, David E. Pritchard, 2013, EDM.

First Annual Workshop on Massive Open Online Courses

Zachary A. Pardos, Emily Schneider, 2013, AIED.

Binary Q-matrix Learning with dAFM

Nan Jiang, Zachary A. Pardos, Z. Pardos, 2019, Educational Data Mining.

Spectral Clustering in Educational Data Mining

Zachary A. Pardos, Neil T. Heffernan, Gábor N. Sárközy, 2011, EDM.

Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps

Zachary A. Pardos, Neil T. Heffernan, Douglas Selent, 2014, EDM.

Interleaved Practice with Multiple Representations: Analyses with Knowledge Tracing Based Techniques.

Zachary A. Pardos, Martina A. Rau, 2012, EDM 2012.

Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System

Zachary A. Pardos, Weijie Jiang, Z. Pardos, 2019, ArXiv.

Item Ordering Effects with Qualitative Explanations using Online Adaptive Tutoring Data

Zachary A. Pardos, Steven Tang, Elizabeth McBride, 2015, L@S.

Knowledge Component Suggestion for Untagged Content in an Intelligent Tutoring System

Zachary A. Pardos, Mario Karlovcec, Mariheida Cordova-Sanchez, 2012, ITS.

Towards Data Driven Model Improvement

Zachary A. Pardos, Neil T. Heffernan, Yumeng Qiu, 2012, FLAIRS Conference.

The sum is greater than the parts: ensembling models of student knowledge in educational software

Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker, 2012, SKDD.

Detecting the Learning Value of Items In a Randomized Problem Set

Zachary A. Pardos, Neil T. Heffernan, 2009, AIED.

Deep Neural Networks and How They Apply to Sequential Education Data

Zachary A. Pardos, Steven Tang, Joshua C. Peterson, 2016, L@S.

Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions

Zachary A. Pardos, Neil T. Heffernan, Shubhendu Trivedi, 2011, AIED.

Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy

Zachary A. Pardos, Martina A. Rau, Z. Pardos, 2016, EDM.

Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data

Zachary A. Pardos, Zachary MacHardy, 2015, L@S.

KT-IDEM: introducing item difficulty to the knowledge tracing model

Zachary A. Pardos, Neil T. Heffernan, N. Heffernan, 2011, UMAP'11.

How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study

Zachary A. Pardos, Vincent Aleven, Nikol Rummel, 2013, International Journal of Artificial Intelligence in Education.

MOOCdb: Developing Data Standards for MOOC Data Science

Zachary A. Pardos, Franck Dernoncourt, Kalyan Veeramachaneni, 2013 .

Modelling Student Behavior using Granular Large Scale Action Data from a MOOC pdf

Zachary A. Pardos, Steven Tang, Joshua C. Peterson, 2016, ArXiv.

Adapting Bayesian knowledge tracing to massive open online courses

Zachary A. Pardos, Yoav Bergner, David E. Pritchard, 2013 .

Towards Moment of Learning Accuracy

Zachary A. Pardos, Michael Yudelson, 2013, AIED Workshops.

Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization

Zachary A. Pardos, Yanbo Xu, 2016, LAK.

Desirable Difficulty and Other Predictors of Effective Item Orderings

Zachary A. Pardos, Steven Tang, Elizabeth McBride, 2015, EDM.

Effective Skill Assessment Using Expectation Maximization in a Multi Network Temporal Bayesian Network

Zachary A. Pardos, Neil T. Heffernan, 2008 .

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, 2013, LAK '13.

Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data

Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker, 2011, EDM.

Tutor Modeling Versus Student Modeling

Zachary A. Pardos, Neil T. Heffernan, 2012, FLAIRS Conference.

AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only)

Zachary A. Pardos, Siqi Li, Zhiping Xiao, 2018, SIGCSE.

Data-Assistive Course-to-Course Articulation Using Machine Translation

Zachary A. Pardos, Hung Chau, Haocheng Zhao, 2019, L@S.

Imputing KCs with Representations of Problem Content and Context

Zachary A. Pardos, Anant Dadu, Anant Dadu, 2017, UMAP.

The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics

Zachary A. Pardos, John C. Stamper, Z. Pardos, 2016, J. Learn. Anal..

Communication at Scale in a MOOC Using Predictive Engagement Analytics

Zachary A. Pardos, Christopher Vu Le, Rachel Thorp, 2018, AIED.

Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data

Zachary A. Pardos, Matthew D. Dailey, Neil T. Heffernan, 2010, Intelligent Tutoring Systems.

CSCL and Eye-Tracking: Experiences, Opportunities and Challenges

Zachary A. Pardos, Kshitij Sharma, Bertrand Schneider, 2017, CSCL.

Ensembling predictions of student knowledge within intelligent tutoring systems

Zachary A. Pardos, Neil T. Heffernan, Ryan Shaun Joazeiro de Baker, 2011, UMAP'11.

Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction

Zachary A. Pardos, Marcia C. Linn, Korah J. Wiley, 2019, EDM.

Content Learning Analysis Using the Moment-by-Moment Learning Detector

Zachary A. Pardos, Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, 2012, ITS.

Developing Data Standards and Systems for MOOC Data Science

Zachary A. Pardos, Franck Dernoncourt, Kalyan Veeramachaneni, 2013, AIED Workshops.

Determining the Significance of Item Order In Randomized Problem Sets

Zachary A. Pardos, Neil T. Heffernan, N. Heffernan, 2009, EDM.

Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data

Zachary A. Pardos, Zachary MacHardy, 2015, EDM.

Predictive Modelling of Student Behavior Using Granular Large-Scale Action Data

Zachary A. Pardos, Steven Tang, Joshua C. Peterson, 2017 .

A Spectral Learning Approach to Knowledge Tracing

Zachary A. Pardos, Peter Brusilovsky, Geoffrey J. Gordon, 2013, EDM.

Clustered Knowledge Tracing

Zachary A. Pardos, Neil T. Heffernan, Gábor N. Sárközy, 2012, ITS.

Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments

Zachary A. Pardos, Run Yu, Matthew Dong, 2019, EDM.

Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space

Zachary A. Pardos, Yuetian Luo, Z. Pardos, 2018, AAAI.

moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization

Zachary A. Pardos, Anthony Whyte, Kevin Kao, 2016, Technol. Knowl. Learn..

Using Fine-Grained Skill Models to Fit Student Performance with

Zachary A. Pardos, Neil T. Heffernan, Brigham Anderson, 2006 .

Personalized Behavior Recommendation: A Case Study of Applicability to 13 Courses on edX

Zachary A. Pardos, Steven Tang, Z. Pardos, 2017, UMAP.

A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing

Zachary A. Pardos, Seung Yeon Lee, Asif Dhanani, 2014, EDM.

Connectionist Recommendation in the Wild On the utility , scrutability , and scalability of neural networks for personalized course guidance pdf

Zachary A. Pardos, Zihao Fan, Weijie Jiang, 2022 .

Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry

Zachary A. Pardos, Martina A. Rau, Anna Swigart, 2015, AIED.

The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks

Zachary A. Pardos, Neil T. Heffernan, Brigham Anderson, 2007, User Modeling.

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm

Zachary A. Pardos, Neil T. Heffernan, N. Heffernan, 2010, EDM.

Item Response Ranking for Cognitive Diagnosis

Zachary A. Pardos, Shiwei Tong, Zhenya Huang, 2021, IJCAI.

Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment pdf

Zachary A. Pardos, Renzhe Yu, John Scott, 2021, ArXiv.

Towards Equity and Algorithmic Fairness in Student Grade Prediction

Zachary A. Pardos, Weijie Jiang, Z. Pardos, 2021, AIES.

Education Data Science: Past, Present, Future

Zachary A. Pardos, Daniel A. McFarland, Benjamin W. Domingue, 2021, AERA Open.

Characterizing learner behavior from touchscreen data

Zachary A. Pardos, Dor Abrahamson, Leah F. Rosenbaum, 2021, Int. J. Child Comput. Interact..

Learning Skill Equivalencies Across Platform Taxonomies

Zachary A. Pardos, Zhi Li, Cheng Ren, 2021, LAK.

Distributed Representation of Misconceptions

Zachary A. Pardos, Scott Farrar, Gao Xian Peh, 2018, ICLS.

Commentary On "Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs"

Zachary A. Pardos, 2015 .