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2010 – 2019
- 2018
[c15]Selen Türkay
, Daniel T. Seaton, Andrew M. Ang:
Itero: A Revision History Analytics Tool for Exploring Writing Behavior and Reflection. CHI Extended Abstracts 2018- 2017
- [c14]Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley:
MOOC Dropout Prediction: How to Measure Accuracy? L@S 2017: 161-164 - [c13]Glenn Lopez, Daniel T. Seaton, Andrew M. Ang, Dustin Tingley, Isaac L. Chuang:
Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. L@S 2017: 181-184 - [c12]Selen Türkay, Hadas Eidelman, Yigal Rosen, Daniel T. Seaton, Glenn Lopez, Jacob Whitehill:
Getting to Know English Language Learners in MOOCs: Their Motivations, Behaviors, and Outcomes. L@S 2017: 209-212 - [e2]Carlos Delgado Kloos, Mar Pérez-Sanagustín, Patrick Jermann, Daniel T. Seaton, Su White, Darco Jansen, Mauro Calise:
Proceedings of Work in Progress Papers of the Experience and Research Tracks and Position Papers of the Policy Track at EMOOCs 2017 co-located with the EMOOCs 2017 Conference, Leganés (Madrid), Spain, May 22-26, 2017. CEUR Workshop Proceedings 1841, CEUR-WS.org 2017 [contents] - [e1]Carlos Delgado Kloos, Patrick Jermann, Mar Pérez-Sanagustín, Daniel T. Seaton, Su White:
Digital Education: Out to the World and Back to the Campus - 5th European MOOCs Stakeholders Summit, EMOOCs 2017, Madrid, Spain, May 22-26, 2017, Proceedings. Lecture Notes in Computer Science 10254, Springer 2017, ISBN 978-3-319-59043-1 [contents] - [i1]Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley:
Delving Deeper into MOOC Student Dropout Prediction. CoRR abs/1702.06404 (2017) - 2016
- [j3]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) - [c11]Colin Fredericks, Glenn Lopez, Victor Shnayder, Saif Rayyan, Daniel T. Seaton:
Instructor Dashboards In EdX. L@S 2016: 335-336 - 2015
- [c10]Cody A. Coleman, Daniel T. Seaton, Isaac L. Chuang:
Probabilistic Use Cases: Discovering Behavioral Patterns for Predicting Certification. L@S 2015: 141-148 - 2014
- [j2]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) - [j1]Jon P. Daries, Justin Reich, Jim Waldo, Elise M. Young, Jonathan Whittinghill, Andrew D. Ho, Daniel T. Seaton, Isaac L. Chuang:
Privacy, anonymity, and big data in the social sciences. Commun. ACM 57(9): 56-63 (2014) - [c9]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 - [c8]Juho Kim, Philip J. Guo, Daniel T. Seaton, Piotr Mitros, Krzysztof Z. Gajos, Robert C. Miller:
Understanding in-video dropouts and interaction peaks inonline lecture videos. L@S 2014: 31-40 - [c7]Sergiy O. Nesterko, Daniel T. Seaton, Justin Reich, Joseph McIntyre, Qiuyi Han, Isaac L. Chuang, Andrew D. Ho:
Due dates in MOOCs: does stricter mean better? L@S 2014: 193-194 - 2013
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - [c2]Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard:
Towards Real-Time Analytics in MOOCs. IWTA@LAK 2013 - 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
Coauthor Index
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