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ORCIDDavid E. Pritchard
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (PhD 1968): Harvard University, Cambridge, MA, USA
Other persons with the same name
- David Pritchard 0001 (aka: David A. G. Pritchard, David Alexander Griffith Pritchard) — Google, Los Angeles, CA, USA (and 4 more)
- David Pritchard 0003 — Wellington Institute of Technology, School of Information Technology, New Zealand
- David Pritchard 0004 — University of British Columbia, Vancouver, BC, Canada
- David Pritchard 0005 — University of Southampton, Department of Electronics and Computer Science, UK
- David Pritchard 0007 — University of North Carolina, Department of Biostatistics, Chapel Hill, NC, USA
- David Pritchard 0008
![[0000-0002-9215-7210]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9215-7210")
— Newcastle University, School of Engineering, Newcastle Upon Tyne, UK
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2020 – today
- 2022
[j10]Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
From computer vision to short text understanding: Applying similar approaches into different disciplines. Intell. Converged Networks 3(2): 161-172 (2022)- 2021
- [c27]Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Ping Yu, Tingru Cui, Li Li, Ghassan Beydoun:
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. ICONIP (6) 2021: 459-467 - 2020
- [j9]Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen:
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning. World Wide Web 23(3): 1747-1767 (2020) - [c26]Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen:
Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. AIED (2) 2020: 168-173 - [c25]Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. IJCNN 2020: 1-10 - [c24]Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen:
Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. WISE (1) 2020: 461-473
2010 – 2019
- 2019
- [j8]Giora Alexandron, Lisa Y. Yoo, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard:
Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be! Int. J. Artif. Intell. Educ. 29(4): 484-506 (2019) - [j7]José A. Ruipérez-Valiente, Pedro J. Muñoz Merino, Giora Alexandron, David E. Pritchard:
Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features. IEEE Trans. Learn. Technol. 12(1): 112-122 (2019) - [c23]Giora Alexandron, José A. Ruipérez-Valiente, David E. Pritchard:
Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. EDM 2019 - [c22]Ángel Pérez-Lemonche, John Stewart, Byron Drury, Rachel Henderson, Alex Shvonski, David E. Pritchard:
Mining Students Pre-instruction Beliefs for Improved Learning. L@S 2019: 15:1-15:10 - 2018
- [c21]Giora Alexandron, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard:
Evaluating the Robustness of Learning Analytics Results Against Fake Learners. EC-TEL 2018: 74-87 - [c20]Ángel Pérez-Lemonche, Byron Drury, David E. Pritchard:
Mining Student Misconceptions from Pre- and Post-Testing Data. EDM 2018 - 2017
- [j6]Giora Alexandron, José A. Ruipérez-Valiente, Zhongzhou Chen, Pedro J. Muñoz Merino, David E. Pritchard:
Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC. Comput. Educ. 108: 96-114 (2017) - [c19]Han Wan, Jun Ding, Xiaopeng Gao, David Pritchard:
Dropout Prediction in MOOCs using Learners' Study Habits Features. EDM 2017 - [c18]Sunbok Lee, Zhongzhou Chen, David E. Pritchard, Alex Kimn, Andrew Paul:
Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory. L@S 2017: 197-200 - 2016
- [j5]Saif Rayyan, Colin Fredericks, Kimberly F. Colvin, Alwina Liu, Raluca Teodorescu, Analia Barrantes, Andrew Pawl, Daniel T. Seaton, David E. Pritchard:
A MOOC based on blended pedagogy. J. Comput. Assist. Learn. 32(3): 190-201 (2016) - [j4]Zhongzhou Chen, Christopher Chudzicki, Daniel Palumbo, Giora Alexandron, Youn-Jeng Choi, Qian Zhou, David E. Pritchard:
Researching for better instructional methods using AB experiments in MOOCs: results and challenges. Res. Pract. Technol. Enhanc. Learn. 11(1): 9 (2016) - [c17]Zhongzhou Chen, Neset Demirci, David E. Pritchard:
Examining the necessity of problem diagrams using MOOC AB experiments. EDM 2016: 579-580 - [c16]José A. Ruipérez-Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard:
Using Multiple Accounts for Harvesting Solutions in MOOCs. L@S 2016: 63-70 - [c15]Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard:
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. UMAP (Extended Proceedings) 2016 - 2015
- [c14]Yoav Bergner, Deirdre Kerr, David E. Pritchard:
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes. EDM 2015: 234-241 - [c13]Giora Alexandron, Qian Zhou, David E. Pritchard:
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. EDM 2015: 520-523 - [c12]Yoav Bergner, Kimberly F. Colvin, David E. Pritchard:
Estimation of ability from homework items when there are missing and/or multiple attempts. LAK 2015: 118-125 - [c11]Christopher Chudzicki, David E. Pritchard, Zhongzhou Chen:
Learning Experiments Using AB Testing at Scale. L@S 2015: 405-408 - [c10]David Pritchard, Sandy Graham, Troy Vasiga:
The State of CS Circles: Open Source and Outreach with an Introductory Python Website (Abstract Only). SIGCSE 2015: 688 - 2014
- [j3]Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard:
Who does what in a massive open online course? Commun. ACM 57(4): 58-65 (2014) - [j2]Gerd Kortemeyer, Stefan Dröschler, David E. Pritchard:
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. 14(1-2): 1-15 (2014) - [c9]Kimberly F. Colvin, John Champaign, Alwina Liu, Colin Fredericks, David E. Pritchard:
Comparing Learning in a MOOC and a Blended, On-Campus Course. EDM 2014: 343-344 - [c8]John Champaign, Kimberly F. Colvin, Alwina Liu, Colin Fredericks, Daniel T. Seaton, David E. Pritchard:
Correlating skill and improvement in 2 MOOCs with a student's time on tasks. L@S 2014: 11-20 - 2013
- [c7]Daniel T. Seaton, Albert J. Rodenius, Cody A. Coleman, David E. Pritchard, Isaac L. Chuang:
Analysis of Video Use in edX Courses. AIED Workshops 2013 - [c6]Zachary A. Pardos, Yoav Bergner, Daniel T. Seaton, David E. Pritchard:
Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX. EDM 2013: 137-144 - [c5]Jennifer DeBoer, Glenda S. Stump, Daniel T. Seaton, Andrew D. Ho, David E. Pritchard, Lori Breslow:
Bringing student backgrounds online: MOOC user demographics, site usage, and online learning. EDM 2013: 312-313 - [c4]Daniel T. Seaton, Yoav Bergner, David E. Pritchard:
Exploring the relationship between course structure and etext usage in blended and open online courses. EDM 2013: 350-351 - [c3]Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard:
Towards Real-Time Analytics in MOOCs. IWTA@LAK 2013 - [c2]David Pritchard, Troy Vasiga:
CS circles: an in-browser python course for beginners. SIGCSE 2013: 591-596 - 2012
- [c1]Yoav Bergner, Stefan Dröschler, Gerd Kortemeyer, Saif Rayyan, Daniel T. Seaton, David E. Pritchard:
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory. EDM 2012: 95-102 - [i1]David Pritchard, Troy Vasiga:
CS Circles: An In-Browser Python Course for Beginners. CoRR abs/1209.2166 (2012)
2000 – 2009
- 2003
- [j1]Simon Rainville, James K. Thompson, David E. Pritchard:
Two ions in one trap: ultra-high precision mass spectrometry? IEEE Trans. Instrum. Meas. 52(2): 292-296 (2003)
Coauthor Index
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