| Studying learning in the worldwide classroom research into edX's first MOOC. L Breslow, DE Pritchard, J DeBoer, GS Stump, AD Ho, DT Seaton Research & Practice in Assessment 8, 13-25, 2013 | 1768 | 2013 |
| HarvardX and MITx: Two years of open online courses fall 2012-summer 2014 AD Ho, I Chuang, J Reich, CA Coleman, J Whitehill, CG Northcutt, ... MIT Office of Digital Learning; HarvardX Research Committee, 2015 | 738 | 2015 |
| Understanding in-video dropouts and interaction peaks inonline lecture videos J Kim, PJ Guo, DT Seaton, P Mitros, KZ Gajos, RC Miller Proceedings of the first ACM conference on Learning@ scale conference, 31-40, 2014 | 540 | 2014 |
| Who does what in a massive open online course? DT Seaton, Y Bergner, I Chuang, P Mitros, DE Pritchard Communications of the ACM 57 (4), 58-65, 2014 | 327 | 2014 |
| Privacy, anonymity, and big data in the social sciences JP Daries, J Reich, J Waldo, EM Young, J Whittinghill, AD Ho, DT Seaton, ... Communications of the ACM 57 (9), 56-63, 2014 | 224 | 2014 |
| Diversity in MOOC students’ backgrounds and behaviors in relationship to performance in 6.002 x J DeBoer, GS Stump, D Seaton, L Breslow Proceedings of the sixth learning international networks consortium …, 2013 | 167 | 2013 |
| Adapting bayesian knowledge tracing to a massive open online course in edx Z Pardos, Y Bergner, D Seaton, D Pritchard Educational Data Mining 2013, 2013 | 139 | 2013 |
| Model-based collaborative filtering analysis of student response data: Machine-learning item response theory. Y Bergner, S Droschler, G Kortemeyer, S Rayyan, D Seaton, DE Pritchard International Educational Data Mining Society, 2012 | 135 | 2012 |
| Microcanonical entropy inflection points: Key to systematic understanding of transitions in finite systems S Schnabel, DT Seaton, DP Landau, M Bachmann Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (1 …, 2011 | 129 | 2011 |
| HarvardX and MITx: The first year of open online courses (HarvardX and MITx Working Paper No. 1) AD Ho, J Reich, S Nesterko, DT Seaton, T Mullaney, J Waldo, I Chuang | 118 | 2014 |
| Collapse transitions in a flexible homopolymer chain: Application of the Wang-Landau algorithm DT Seaton, T Wüst, DP Landau Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (1 …, 2010 | 112 | 2010 |
| Delving deeper into MOOC student dropout prediction J Whitehill, K Mohan, D Seaton, Y Rosen, D Tingley arXiv preprint arXiv:1702.06404, 2017 | 108 | 2017 |
| MOOC dropout prediction: How to measure accuracy? J Whitehill, K Mohan, D Seaton, Y Rosen, D Tingley Proceedings of the fourth (2017) acm conference on learning@ scale, 161-164, 2017 | 87 | 2017 |
| From Flexible to Stiff: Systematic Analysis of Structural Phases for<? format?> Single Semiflexible Polymers DT Seaton, S Schnabel, DP Landau, M Bachmann Physical review letters 110 (2), 028103, 2013 | 84 | 2013 |
| Evaluating the geographic data in MOOCs SO Nesterko, S Dotsenko, Q Han, D Seaton, J Reich, I Chuang, AD Ho Neural information processing systems, 2013 | 83 | 2013 |
| Probabilistic use cases: Discovering behavioral patterns for predicting certification CA Coleman, DT Seaton, I Chuang Proceedings of the second (2015) acm conference on learning@ scale, 141-148, 2015 | 78 | 2015 |
| A MOOC based on blended pedagogy S Rayyan, C Fredericks, KF Colvin, A Liu, R Teodorescu, A Barrantes, ... Journal of Computer Assisted Learning 32 (3), 190-201, 2016 | 77 | 2016 |
| Correlating skill and improvement in 2 MOOCs with a student's time on tasks J Champaign, KF Colvin, A Liu, C Fredericks, D Seaton, DE Pritchard Proceedings of the first ACM conference on Learning@ scale conference, 11-20, 2014 | 77 | 2014 |
| Bringing student backgrounds online: MOOC user demographics, site usage, and online learning J DeBoer, GS Stump, D Seaton, A Ho, DE Pritchard, L Breslow Educational data mining 2013, 2013 | 65 | 2013 |
| Characterizing video use in the catalogue of MITx MOOCs DT Seaton, S Nesterko, T Mullaney, J Reich, A Ho, I Chuang Proceedings of the European MOOC Stakeholder Summit, 140-146, 2014 | 57 | 2014 |
I. ChuangProfessor of EECS and Professor of Physics, MIT; Senior Associate Dean of Digital LearningEmail verificata su mit.edu