Zachary A. Pardos

According to our database1, Zachary A. Pardos authored at least 93 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2022
Characterizing learner behavior from touchscreen data.
Int. J. Child Comput. Interact., 2022

2021
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models.
CoRR, 2021

Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment.
CoRR, 2021

Orienting Students to Course Recommendations Using Three Types of Explanation.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Learning Skill Equivalencies Across Platform Taxonomies.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Which one's more work? Predicting effective credit hours between courses.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Item Response Ranking for Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Automatic short answer grading with SBERT on out-of-sample questions.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Towards Equity and Algorithmic Fairness in Student Grade Prediction.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Understanding the Source of Semantic Regularities in Word Embeddings.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Lexical Relation Mining in Neural Word Embeddings.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Connectionist recommendation in the wild: on the utility and scrutability of neural networks for personalized course guidance.
User Model. User Adapt. Interact., 2019

Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System.
CoRR, 2019

Designing for Serendipity in a University Course Recommendation System.
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

Time slice imputation for personalized goal-based recommendation in higher education.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Data-Assistive Course-to-Course Articulation Using Machine Translation.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Goal-based Course Recommendation.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course.
Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019

Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Binary Q-matrix Learning with dAFM.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Design and Deployment of a Better Course Search Tool: Inferring Latent Keywords from Enrollment Networks.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019

Degree Curriculum Contraction: A Vector Space Approach.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
A Map of Knowledge.
CoRR, 2018

Connectionist Recommendation in the Wild.
CoRR, 2018

Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only).
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Distributed Representation of Misconceptions.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Deep Knowledge Tracing for Free-Form Student Code Progression.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Communication at Scale in a MOOC Using Predictive Engagement Analytics.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization.
CoRR, 2017

Personalized Behavior Recommendation: A Case Study of Applicability to 13 Courses on edX.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Imputing KCs with Representations of Problem Content and Context.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

CSCL and Eye-Tracking: Experiences, Opportunities and Challenges.
Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017

2016
moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization.
Technol. Knowl. Learn., 2016

Modelling Student Behavior using Granular Large Scale Action Data from a MOOC.
CoRR, 2016

Deep Neural Networks and How They Apply to Sequential Education Data.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Predicting Student Learning using Log Data from Interactive Simulations on Climate Change.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
The Utility of Clustering in Prediction Tasks.
CoRR, 2015

Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

Item Ordering Effects with Qualitative Explanations using Online Adaptive Tutoring Data.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

moocRP: An Open-source Analytics Platform.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Desirable Difficulty and Other Predictors of Effective Item Orderings.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Ethics and Privacy in EDM.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Is this Model for Real? Simulating Data to Reveal the Proximity of a Model to Reality.
Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014
How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study.
Int. J. Artif. Intell. Educ., 2014

MOOCShop 2014.
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014

Is this Data for Real?
Proceedings of the Workshops held at Educational Data Mining 2014, 2014

A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing.
Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes.
Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

A Spectral Learning Approach to Knowledge Tracing.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Developing Data Standards and Systems for MOOC Data Science.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Towards Moment of Learning Accuracy.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

First Annual Workshop on Massive Open Online Courses.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Clustered Knowledge Tracing.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Knowledge Component Suggestion for Untagged Content in an Intelligent Tutoring System.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Content Learning Analysis Using the Moment-by-Moment Learning Detector.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Towards Data Driven Model Improvement.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Tutor Modeling Versus Student Modeling.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Investigating Practice Schedules of Multiple Fraction Representations Using Knowledge Tracing Based Learning Analysis Techniques.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

The real world significance of performance prediction.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011
The sum is greater than the parts: ensembling models of student knowledge in educational software.
SIGKDD Explor., 2011

Learning What Works in its from Non-Traditional Randomized Controlled Trial Data.
Int. J. Artif. Intell. Educ., 2011

KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Spectral Clustering in Educational Data Mining.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Clustering Students to Generate an Ensemble to Improve Standard Test Score Predictions.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing.
Proceedings of the User Modeling, 2010

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm.
Proceedings of the Educational Data Mining 2010, 2010

2009
Determining the Significance of Item Order In Randomized Problem Sets.
Proceedings of the Educational Data Mining, 2009

Detecting the Learning Value of Items In a Randomized Problem Set.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

2008
The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS.
Proceedings of the Educational Data Mining 2008, 2008

2007
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods.
Proceedings of the Artificial Intelligence in Education, 2007


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