Zachary A. Pardos
Orcid: 0000-0002-6016-7051
According to our database1,
Zachary A. Pardos
authored at least 124 papers
between 2007 and 2024.
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Bibliography
2024
Implementing equitable and intersectionality-aware ML in education: A practical guide.
Br. J. Educ. Technol., September, 2024
Bridging large language model disparities: Skill tagging of multilingual educational content.
Br. J. Educ. Technol., September, 2024
CoRR, 2024
Aligning open educational resources to new taxonomies: How AI technologies can help and in which scenarios.
Comput. Educ., 2024
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
AI for Adaptive Tutoring and Transfer Student Success.
Proceedings of the 16th International Conference on Computer Supported Education, 2024
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
2023
Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records.
Internet High. Educ., 2023
CoRR, 2023
An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application.
Proceedings of the 35th Australian Computer-Human Interaction Conference, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Convincing the Expert: Reducing Algorithm Aversion in Administrative Higher Education Decision-making.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
Introducing an Open-source Adaptive Tutoring System to Accelerate Learning Sciences Experimentation.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
Proceedings of the 16th International Conference on Educational Data Mining, 2023
OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
2022
Int. J. Child Comput. Interact., 2022
Int. J. Child Comput. Interact., 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022
2021
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment.
CoRR, 2021
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021
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
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
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Analysis of Student Behaviour in Habitable Worlds Using Continuous Representation Visualization.
J. Learn. Anal., April, 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
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
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019
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
Proceedings of the 12th International Conference on Educational Data Mining, 2019
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
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019
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
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
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
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
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
Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017
2016
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics.
J. Learn. Anal., September, 2016
moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization.
Technol. Knowl. Learn., 2016
CoRR, 2016
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
Commentary On "Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs".
J. Learn. Anal., December, 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
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
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
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
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015
2014
Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes.
J. Learn. Anal., May, 2014
How Should Intelligent Tutoring Systems Sequence Multiple Graphical Representations of Fractions? A Multi-Methods Study.
Int. J. Artif. Intell. Educ., 2014
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014
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
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013
2012
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
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
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
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
Int. J. Artif. Intell. Educ., 2011
Proceedings of the User Modeling, Adaption and Personalization, 2011
Proceedings of the User Modeling, Adaption and Personalization, 2011
Proceedings of the 4th International Conference on Educational Data Mining, 2011
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
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
Proceedings of the Educational Data Mining, 2009
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