David E. Pritchard
Affiliations:- Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard University, Cambridge, MA, USA (PhD 1968)
According to our database1,
David E. Pritchard
authored at least 37 papers
between 2003 and 2022.
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Bibliography
2022
From computer vision to short text understanding: Applying similar approaches into different disciplines.
Intell. Converged Networks, 2022
2021
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning.
World Wide Web, 2020
Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
2019
Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features.
IEEE Trans. Learn. Technol., 2019
Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!
Int. J. Artif. Intell. Educ., 2019
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019
Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
2018
Proceedings of the 11th International Conference on Educational Data Mining, 2018
Proceedings of the Lifelong Technology-Enhanced Learning, 2018
2017
Comput. Educ., 2017
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
2016
Researching for better instructional methods using AB experiments in MOOCs: results and challenges.
Res. Pract. Technol. Enhanc. Learn., 2016
Proceedings of the Late-breaking Results, 2016
Proceedings of the Third ACM Conference on Learning @ Scale, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
2015
The State of CS Circles: Open Source and Outreach with an Introductory Python Website (Abstract Only).
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Estimation of ability from homework items when there are missing and/or multiple attempts.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes.
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach.
Proceedings of the 8th International Conference on Educational Data Mining, 2015
2014
Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library - A case study.
Int. J. Digit. Libr., 2014
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014
Proceedings of the 7th International Conference on Educational Data Mining, 2014
2013
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013
Proceedings of the 2nd International Workshop on Teaching Analytics, 2013
Exploring the relationship between course structure and etext usage in blended and open online courses.
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Bringing student backgrounds online: MOOC user demographics, site usage, and online learning.
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
2012
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory.
Proceedings of the 5th International Conference on Educational Data Mining, 2012
2003
IEEE Trans. Instrum. Meas., 2003