David E. Pritchard

29 papers A 1B 16Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
From computer vision to short text understanding: Applying similar approaches into different disciplines.
Intell. Converged Networks
Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun
2019 J jnl
Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!
Int. J. Artif. Intell. Educ.
Giora Alexandron, Lisa Y. Yoo, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard
2019 B conf
Mining Students Pre-instruction Beliefs for Improved Learning.
L@S
Ángel Pérez-Lemonche, John Stewart, Byron Drury, Rachel Henderson, Alex Shvonski, David E. Pritchard
2019 B conf
Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses.
EDM
Giora Alexandron, José A. Ruipérez-Valiente, David E. Pritchard
2019 J jnl
Using Machine Learning to Detect 'Multiple-Account' Cheating and Analyze the Influence of Student and Problem Features.
IEEE Trans. Learn. Technol.
José A. Ruipérez-Valiente, Pedro J. Muñoz Merino, Giora Alexandron, David E. Pritchard
2018 B conf
Evaluating the Robustness of Learning Analytics Results Against Fake Learners.
EC-TEL
Giora Alexandron, José A. Ruipérez-Valiente, Sunbok Lee, David E. Pritchard
2018 B conf
Mining Student Misconceptions from Pre- and Post-Testing Data.
EDM
Ángel Pérez-Lemonche, Byron Drury, David E. Pritchard
2017 J jnl
Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC.
Comput. Educ.
Giora Alexandron, José A. Ruipérez-Valiente, Zhongzhou Chen, Pedro J. Muñoz Merino, David E. Pritchard
2017 B conf
Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory.
L@S
Sunbok Lee, Zhongzhou Chen, David E. Pritchard, Alex Kimn, Andrew Paul
2016 J jnl
A MOOC based on blended pedagogy.
J. Comput. Assist. Learn.
Saif Rayyan, Colin Fredericks, Kimberly F. Colvin, Alwina Liu, Raluca Teodorescu, Analia Barrantes, Andrew Pawl, Daniel T. Seaton, David E. Pritchard
2016 — conf
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics.
UMAP (Extended Proceedings)
Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard
2016 B conf
Examining the necessity of problem diagrams using MOOC AB experiments.
EDM
Zhongzhou Chen, Neset Demirci, David E. Pritchard
2016 J jnl
Researching for better instructional methods using AB experiments in MOOCs: results and challenges.
Res. Pract. Technol. Enhanc. Learn.
Zhongzhou Chen, Christopher Chudzicki, Daniel Palumbo, Giora Alexandron, Youn-Jeng Choi, Qian Zhou, David E. Pritchard
2016 B conf
Using Multiple Accounts for Harvesting Solutions in MOOCs.
L@S
José A. Ruipérez-Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard
2015 B conf
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach.
EDM
Giora Alexandron, Qian Zhou, David E. Pritchard
2015 A conf
Estimation of ability from homework items when there are missing and/or multiple attempts.
LAK
Yoav Bergner, Kimberly F. Colvin, David E. Pritchard
2015 B conf
Learning Experiments Using AB Testing at Scale.
L@S
Christopher Chudzicki, David E. Pritchard, Zhongzhou Chen
2015 B conf
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes.
EDM
Yoav Bergner, Deirdre Kerr, David E. Pritchard
2014 B conf
Comparing Learning in a MOOC and a Blended, On-Campus Course.
EDM
Kimberly F. Colvin, John Champaign, Alwina Liu, Colin Fredericks, David E. Pritchard
2014 B conf
Correlating skill and improvement in 2 MOOCs with a student's time on tasks.
L@S
John Champaign, Kimberly F. Colvin, Alwina Liu, Colin Fredericks, Daniel T. Seaton, David E. Pritchard
2014 J jnl
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.
Gerd Kortemeyer, Stefan Dröschler, David E. Pritchard
2014 J jnl
Who does what in a massive open online course?
Commun. ACM
Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard
2013 B conf
Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX.
EDM
Zachary A. Pardos, Yoav Bergner, Daniel T. Seaton, David E. Pritchard
2013 — conf
Analysis of Video Use in edX Courses.
AIED Workshops
Daniel T. Seaton, Albert J. Rodenius, Cody A. Coleman, David E. Pritchard, Isaac L. Chuang
2013 B conf
Bringing student backgrounds online: MOOC user demographics, site usage, and online learning.
EDM
Jennifer DeBoer, Glenda S. Stump, Daniel T. Seaton, Andrew D. Ho, David E. Pritchard, Lori Breslow
2013 B conf
Exploring the relationship between course structure and etext usage in blended and open online courses.
EDM
Daniel T. Seaton, Yoav Bergner, David E. Pritchard
2013 — conf
Towards Real-Time Analytics in MOOCs.
IWTA@LAK
Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard
2012 B conf
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory.
EDM
Yoav Bergner, Stefan Dröschler, Gerd Kortemeyer, Saif Rayyan, Daniel T. Seaton, David E. Pritchard
2003 J jnl
Two ions in one trap: ultra-high precision mass spectrometry?
IEEE Trans. Instrum. Meas.
Simon Rainville, James K. Thompson, David E. Pritchard