RELATE Group Publications Refereed – Titles First most recent First
SAS25 A Multidimensional Bayesian IRT method for discovering misconceptions from concept test data Martin Segado, Aaron Adair, John Stewart, Yunfa Ma, Byron Drury Front. Psychol. , 28 January 2025 Sec. Quantitative Psychology and Measurement Volume 16 https://doi.org/10.3389/fpsyg.2025.1506320
WWP22 Comparing conceptual understanding across institutions with module analysis Christopher Wheatley1, James Wells2, David E. Pritchard3, and John Stewart Phys. Rev. Phys. Educ. Res. 18, 020132
Pri22 A Unifying Online Proposal for MIT’s Educational Mission Based on Open edX David E. Pritchard MIT Faculty Newsletter VOL. XXXIV NO. 3 JANUARY/FEBRUARY 2022
SDW21 Examining the relation of correct knowledge and misconceptions using the nominal response model John Stewart , Byron Drury, James Wells, Aaron Adair, Rachel Henderson, Yunfei Ma, Ángel P´erez-Lemonche, and David Pritchard PHYSICAL REVIEW PHYSICS EDUCATION RESEARCH17,010122 (2021)
AYR19 Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be! Giora Alexandron, Lisa Y. Yoo, José A. Ruipérez-Valiente, Sunbok Lee, and David E. Pritchard International Journal of Artificial Intelligence in Education pp 1–23, 2019
PSD 19 Mining Students Pre-instruction Beliefs for Improved Learning Angel Perez-Lemonche, John Stewart, Byron Drury, Rachael Henderson, Alex Shconski, and David E Pritchard LAS 2019 Proceedings
DLS18 Online Quizzes Predict Final Exam Scores Better Than Hand-Graded On-Paper Quizzes Byron Drury, Sunbok Lee, Chandralekha Singh, David Pritchard EDM Proceedings 2018 KE Boyer and M Yudelson eds p 557 (2018)
PDP18 Mining Student Misconceptions from Pre- and Post-Test Data. Angel Perez-Lemonche, Byron Coffin Drury, David Pritchard EDM Proceedings 2018 KE Boyer and M Yudelson eds p 449 (2018)
LCP17 Factor Analysis Reveals Student Thinking using the Mechanics Reasoning Inventory S Lee, Z Chen, D Pritchard, A Kimn, A Paul Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 197- 200 (2017)
BTC17 Physics instructional resource usage by high-, medium-, and low-skilled MOOC students TA Balint, R Teodorescu, K Colvin, YJ Choi, D Pritchard The Physics Teacher 55, 222-225 (2017)
RAC 17 Copying@Scale: Using Harvesting Accounts for Collecting Correct Answers in a MOOC Jose A Ruiperez-Valiente, Giora Alexandron, Zhongzhou Chen, and David E. Pritchard. Computers & Education Volume 108, May 2017, Pages 96-114 (Presented at 3rd Learning at Scale Conference, 2016 (honorable mention for best conference paper)
CDC17 To draw or not to draw? Examining the necessity of problem diagrams using massive open online course experiments Z Chen, N Demirci, YJ Choi, DE Pritchard Physical Review Physics Education Research 13 (1), 010110
BTZ16 Comparing Measures of Student Performance in Hybrid and MOOC Physics Courses T. Balint, R. Teodorescu, K. Colvin, Y. Choi, D. Pritchard European Journal Of Physics Education vol. 6 (3) (2016)
CCP16 Researching for better instructional methods using AB experiments in MOOCs: results and challenges Zhongzhou Chen, Christopher Chudzicki, Daniel Palumbo, Giora Alexandron, Youn-Jeng Choi, Qian Zhou, David E. Pritchard Research and Practice in Technology Enhanced Learning: December 2016, 11:9 DOI: 10.1186/s41039-016-0034-4 (Earlier work by Chudzicki et. al. Learning at Scale 2015 )
CDP16 Examining the necessity of problem diagrams using MOOC AB experiments Z. Chen, N Demirci, and D Pritchard at EDM16)
RFC16 A MOOC based on blended pedagogy S. Rayyan, C. Fredericks, K.F. Colvin, A. Liu, R. Teodorescu, A. Barrantes, A. Pawl, D.T. Seaton and D.E. Pritchard Journal of Computer Assisted Learning: 19 MAR 2016 | DOI: 10.1111/jcal.12126
CCZ15 Validating the pre/post-test in a MOOC environment Christopher Chudzicki, Zhongzhou Chen, Qian Zhou, Giora Alexandron, and David E. Pritchard Physics Education Research Conference 2015, Pages 83-86
BTC15a Comparing Measures of Student Performance in Hybrid and MOOC Physics Courses Balint, T. A., Teodorescu, R., Colvin, K. F., Choi, Y-J., & Pritchard, D. E. (2015). European Journal of Physics Education 6(3), 32-44 2015
BTC15b Identifying characteristics of pairs of questions that students answer similarly TA Balint, R Teodorescu, K Colvin, YJ Choi, DE Pritchard Physics Education Research Conference, 55-58 (2015) Retrieved January 5, 2016, from http://www.compadre.org/Repository/document/ServeFile.cfm?ID=13834&DocID=4254
BCP15 Estimation of ability from homework items when there are missing and/or multiple attempts Y Bergner, K Colvin, DE Pritchard Proceedings of the Fifth International Conference on Learning Analytics and Knowledge 2015 pp 118-125
AZP15 Discovering the Pedagogical Resources that Assist Students in Answering Questions Correctly – A Machine Learning Approach – in Proceedings of educational data mining 2015, Giora Alexandron, Qian Zhou, David Pritchard
BKP15 Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes Y. Bergner, D. Kerr, D. E. Pritchard http://www.educationaldatamining.org/EDM2015/uploads/papers/paper_61.pdf
KDP14 Harvesting latent and usage-based metadata in a course management system to enrich the underlying educational digital library G Kortemeyer, S Dröschler, DE Pritchard – International Journal of Digital Libraries DOI 10.1007/s00799-013-0107-6
SKB14 Analyzing the Impact of Course Structure on eText Use in Blended Introductory Physics Courses Daniel T. Seaton, Gerd Kortemeyer, Yoav Bergner, Saif Rayyan, and David E. Pritchard, , American Journal of Physics 82, 1186-1197 (2014)
CCL14B Learning in an Introductory Physics MOOC: All Cohorts Learn Equally, Including an On-Campus Class Kimberly F Colvin, John Champaign, Alwina Liu, Qian Zhou, Colin Fredericks, and David E Pritchard Int. Rev. Research in Online and Distance Learning irrodl.org/index.php/irrodl/article/view/1902/3009
CCL14A Correlating skill and improvement in 2 MOOCs with a student’s time on tasks
John Champaign, Kimberly F. Colvin, Alwina Liu, Colin Fredericks, Daniel Seaton, and David E Pritchard ACM Digital Library 2014 http://dl.acm.org/citation.cfm?id=2566250 http://dx.doi.org/10.1145/2556325.2566250
SBC14 Who Does What in a Massive Open Online Course? Daniel T. Seaton, Yoav Bergner, Isaac Chuang, Piotr Mitros, and David E. Pritchard Communications, ACM Volume 57 April 2014 pp 58-65.
RSB13 Participation And Performance In 8.02x Electricity And Magnetism: The First Physics MOOC From MITx Saif Rayyan, Daniel T. Seaton, John Belcher, David E. Pritchard, Isaac Chuang Physics Education Research conference 2013
BPD13 Studying Learning in the Worldwide Classroom: Research into edX’s First MOOC Lori Breslow, David E. Pritchard, Jennifer DeBoer, Glenda S. Stump, Andrew D. Ho, Daniel T. Seaton Research & Practice in Assessment 8 13, 2013
FRT13 From Flipped to Open Instruction: The Mechanics Online Course Colin Fredericks, Saif Rayyan, Raluca Teodorescu, Trevor Balint, Daniel Seaton, and David E. Pritchard LINC symposium MIT 2013
SBP13 Exploring the relationship between course structure and etext usage in blended and open online courses Daniel T. Seaton, Yoav Bergner and David E. Pritchard Proceedings of 6th International Conference on Educational Data Mining, Memphis 2013
PBS13 Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX Zachary A. Pardos, Yoav Bergner, Daniel T. Seaton, David E. Pritchard Proceedings of 6th International Conference on Educational Data Mining, Memphis 2013
SKB13 The impact of course structure on etext use in large-lecture introductory-physics courses D. Seaton, G. Kortemeyer, Y. Bergner, I. Chuang, D. Pritchard Physics Education Research Conference, Portland, Oregon, 2013
BDK12 Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory, Yoav Bergner, Stefan Dröschler, Gerd Kortemeyer, Saif Rayyan, Daniel Seaton, and David Pritchard, The 5th International Conference on Educational Data Mining, 95-102 (2012)
BRS12 Multidimensional Student Skill with Collaborative Filtering. Y. Bergner, S. Rayyan, D. T. Seaton, and D. E. Pritchard, Physics Education Research Conference 2012, Philadelphia, PA
PBP12 What do Seniors Remember from Freshman Physics? Pawl, A, Barrantes, A, Pritchard, D.E., and Mitchell, R. Phys. Rev. ST Phys. Educ. Res. 8, 020118 (2012)
PBC11 Development of a Mechanics Reasoning Inventory Andrew Pawl, Analia Barrantes, Carolin Cardamone, Saif Rayyan and David E. Pritchard Physics Education Research Conference 2011 Volume 1413, Pages 287-290pdf
CAB11 Item Response Theory Analysis of the Mechanics Baseline Test Carolin N. Cardamone, Jonathan Abbot, Analia Barrantes, Andrew Pawl, Saif Rayyan, Daniel Seaton, Raluca Teodorescu, and Dave Pritchard Physics Education Research Conference 2011 Volume 1413, Pages 135-138 AIP Conference Proceedings
TSC11 When Students Can Choose Easy, Medium, Or Hard Homework Problems Raluca E. Teodorescu, Daniel T. Seaton, Caroline N. Cardamone, Saif Rayyan, Jonathan E. Abbott, Analia Barrantes, Andrew Pawl, and David E. Pritchard Physics Education Research Conference 2011 Volume 1413, Pages 81-84
Integrated Learning Environment for Mechanics (ILEM) Pawl, A., Teodorescu, R. , Barrantes, A. , Rayyan, S., Cardamone, C, and Pritchard, D. E. username: nsfguest, password: ilem, select “student Mechanics Demo Course Spring 2011”, and click on “Course Contents” on the top navigation bar (third from left).
PBR11Mechanics Wiki Course (Wiki2) Pawl, A., Barrantes, A. , Rayyan, S., Teodorescu, R. , Cardamone, C, and Pritchard, D. E.
PBW10 Experimental Wiki textbook by RELATE (Wiki 1) Pawl, A., Barrantes, A. , Wilk, S., and Pritchard, D.
RPB10 Improved Student Performance In Electricity And Magnetism Following Prior MAPS Instruction In Mechanics, Rayyan, S., Pawl, A., Barrantes, A. , Teodorescu, R. and Pritchard, D. E., Physics Education Research Conference 2010 AIP Conf. Proc. 1289, 273(2010).
TPR10 Toward an Integrated Online Learning Environment, Teodorescu, R., Pawl, A., Rayyan, S., Barrantes, A. , and Pritchard, D. E.. Physics Education Research Conference 2010 Portland Oregon, AIP Conf. Proc. 1289, 321(2010).
PLW10 Patterns, correlates, and reduction of homework copying, Palazzo, D., Lee, Y-J, Warnakulasooriya, R. and Pritchard, D., Phys. Rev. ST Phys. Educ. Res, vol. 6, (2010), p. 010104 Res. 6, 010104 (2010).
MoP09 What course elements correlate with improvement on tests in introductory Newtonian mechanics?, Elsa-Sofia Morote and David E. Pritchard Am. J. Phys. 77, 746, (2009)
PBB09 What Else (Besides the Syllabus) Should Students Learn in Introductory Physics?, Pritchard, D. E., Barrantes, A. and Belland, B. R., Physics Education Research Conference 2009, M. Sabella, Ch. Henderson, C. Singh, Eds. Ann Arbor, Michigan: July 29-30, 2009. AIP Conference Proceedings 1179, pp. 43-46 Also (better Figures), MIT Faculty Newsletter, Nov/Dec 2009 , http://web.mit.edu/fnl/volume/222/pritchard.html
PBP09 Modeling Applied to Problem Solving, Pawl, A., Barrantes, A. and Pritchard, D. E., AIP Conference Proceedings 1179 2009 Physics Education Research Conference, M. Sabella, Ch. Henderson, C. Singh, Eds. pp. 51-54, (2009).
BPP09 What do Seniors Remember from Freshman Physics? , Barrantes, A. ,Pawl, A., and Pritchard, D. E., ,AIP Conference Proceedings 1179 2009 Physics Education Research Conference, M. Sabella, Ch. Henderson, C. Singh, Eds. pp. 51-54, (2009).
PLB08 Mathematical learning models that depend on prior knowledge and instructional strategies, Pritchard, D. E., Lee, Y-J, and Bao, L., Phys. Rev. ST Phys. Educ. Res. 4, 010109 (2008).
LPW08 Measuring student learning with item response theory, Lee, Y-J, David J. Palazzo, Rasil Warnakulasooriya, and Pritchard, D. E., Phys. Rev. ST Phys. Educ. Res. 4, 010102 (2008).
WPP07 Time to Completion of Web-Based Physics Problems with Tutoring, Warnakulasooriya, R., Palazzo, D. J. and Pritchard D. E., Journal of the Experimental Analysis of Behavior 88, 103-113, 2007.
WPP05 Evidence of Problem-Solving Transfer in Web-Based Socratic Tutor, Rasil Warnakulasooriya, David J. Palazzo, and David E. Pritchard Physics Education Research Conference 2005, Salt Lake City, Utah: August 10-11, 2005 American Institute of Physics Conference Proceedings 818, Pages 41-44
WaP04 Time to completion reveals problem-solving transfer, Rasil Warnakulasooriya & David E. Pritchard, Proceedings of the 2004 Physics Education Research Conference, AIP Conference Proceedings, J. Marx, P. Heron, & S. Franklin (Eds.), 2004, pp. 205-208.
WAP05 Learning and problem-solving transfer between physics problems using web-based homework tutor, Rasil Warnakulasooriya & David E. Pritchard, EdMedia – World Conference on Educational Multimedia, Hypermedia & Telecommunications, 2005, pp. 2976-2983Res, vol. 6, (2010), p. 010104Res, vol. 6, (2010), p. 010104 Res, vol. 6, (2010), p. 010104 Res, vol. 6, (2010), p. 010104
MOP04 Technology closes the gap between student’s individual skills and background differences, Elsa-Sofia Morote & David E. Pritchard, Society for Information Technology and Teacher Education, 2004, pp. 826-831.
MKP02 CyberTutor, a Socratic Web-based Homework TutorElsa-Sofia Morote, David Kokorowski, David Pritchard, MIT, United States E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 2002 in Montreal, Canada ISBN 978-1-880094-46-4 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
MoP02 Reliable Assessment with Cybertutor, a web-based Homework Tutor, Elsa-Sofia Morote, David Pritchard MIT, United States E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 2002 in Montreal, Canada ISBN 978-1-880094-46-4 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
DuP01 Inductive Influence of Related Quantitative and Conceptual Problems Philip Dukes and David E. Pritchard Physics Education Research Conference 2001 Part of the PER Conference Invited Paper series Rochester, New York: July 25-26, 2001
Patterns, correlates, and reduction of homework copying
David J. Palazzo, Young-Jin Lee, Rasil Warnakulasooriya and David E. Pritchard,
(Phys. Rev. ST Phys. Educ. Res, vol. 6, (2010), p. 010104)
Measuring student learning with item response theory PDF
Young-Jin Lee, David J. Palazzo, Rasil Warnakulasooriya and David E. Pritchard.
(Phys. Rev. ST Phys. Educ. Res, 4, 010102 (2008))
Mathematical Learning Models that Depend on Prior Knowledge and Instructional Strategies PDF
David E. Pritchard, Young-Jin Lee & Lei Bao
(Phys. Rev. ST Phys. Educ. Res, 4 (1), 010109 (2008))
Time to completion of web-based physics problems with tutoring PDF
Rasil Warnakulasooriya, David J. Palazzo & David E. Pritchard
(Journal of the Experimental Analysis of Behavor, 2007, 88, pp.103-113)
What course elements correlate with improvement on tests in introductory Newtonian mechanics? PDF
Elsa-Sofia Morote and David E. Pritchard
(Submitted to Am. J. Phys. )
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