David E. Pritchard

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 14

Top Topics

Item Response Theory

Detection Method

Learning Analytics

Top Venues

J. Comput. Assist. Learn.

Int. J. Digit. Libr.

Publications

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) (2022)
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) (2019)
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)
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)
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) (2019)
Ángel Pérez-Lemonche, Byron Drury, David E. Pritchard
Mining Student Misconceptions from Pre- and Post-Testing Data. EDM (2018)
Giora Alexandron, José A. Ruipérez Valiente, Sunbok Lee, David E. Pritchard
Evaluating the Robustness of Learning Analytics Results Against Fake Learners. EC-TEL (2018)
Sunbok Lee, Zhengzhou Chen, David E. Pritchard, Alex Kimn, Andrew Paul
Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory. L@S (2017)
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 (2017)
Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. UMAP (Extended Proceedings) (2016)
Zhongzhou Chen, Neset Demirci, David E. Pritchard
Examining the necessity of problem diagrams using MOOC AB experiments. EDM (2016)
José A. Ruipérez Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard
Using Multiple Accounts for Harvesting Solutions in MOOCs. L@S (2016)
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) (2016)
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) (2016)
Christopher Chudzicki, David E. Pritchard, Zhongzhou Chen
Learning Experiments Using AB Testing at Scale. L@S (2015)
Yoav Bergner, Kimberly F. Colvin, David E. Pritchard
Estimation of ability from homework items when there are missing and/or multiple attempts. LAK (2015)
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)
Giora Alexandron, Qian Zhou, David E. Pritchard
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. EDM (2015)
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)
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) (2014)
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) (2014)
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)
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)
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)
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)
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)
Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard
Towards Real-Time Analytics in MOOCs. IWTA@LAK (2013)
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)
Simon Rainville, James K. Thompson, David E. Pritchard
Two ions in one trap: ultra-high precision mass spectrometry? IEEE Trans. Instrum. Meas. 52 (2) (2003)