Daniel T. Seaton

According to our database, Daniel T. Seaton authored at least 19 papers between 2012 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

Itero: A Revision History Analytics Tool for Exploring Writing Behavior and Reflection.

Selen Türkay, Daniel T. Seaton, Andrew M. Ang

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Delving Deeper into MOOC Student Dropout Prediction.

Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley

CoRR, 2017

MOOC Dropout Prediction: How to Measure Accuracy?

Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Getting to Know English Language Learners in MOOCs: Their Motivations, Behaviors, and Outcomes.

Selen Türkay, Hadas Eidelman, Yigal Rosen, Daniel T. Seaton, Glenn Lopez, Jacob Whitehill

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data.

Glenn Lopez, Daniel T. Seaton, Andrew M. Ang, Dustin Tingley, Isaac L. Chuang

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016

A MOOC based on blended pedagogy.

Saif Rayyan, Colin Fredericks, Kimberly F. Colvin, Alwina Liu, Raluca Teodorescu, Analia Barrantes, Andrew Pawl, Daniel T. Seaton, David E. Pritchard

J. Comput. Assist. Learn., 2016

Instructor Dashboards In EdX.

Colin Fredericks, Glenn Lopez, Victor Shnayder, Saif Rayyan, Daniel T. Seaton

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

2015

Probabilistic Use Cases: Discovering Behavioral Patterns for Predicting Certification.

Cody A. Coleman, Daniel T. Seaton, Isaac L. Chuang

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

2014

Who does what in a massive open online course?

Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard

Commun. ACM, 2014

Privacy, anonymity, and big data in the social sciences.

Jon P. Daries, Justin Reich, Jim Waldo, Elise M. Young, Jonathan Whittinghill, Andrew D. Ho, Daniel T. Seaton, Isaac L. Chuang

Commun. ACM, 2014

Due dates in MOOCs: does stricter mean better?

Sergiy O. Nesterko, Daniel T. Seaton, Justin Reich, Joseph McIntyre, Qiuyi Han, Isaac L. Chuang, Andrew D. Ho

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Understanding in-video dropouts and interaction peaks inonline lecture videos.

Juho Kim, Philip J. Guo, Daniel T. Seaton, Piotr Mitros, Krzysztof Z. Gajos, Robert C. Miller

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Correlating skill and improvement in 2 MOOCs with a student's time on tasks.

John Champaign, Kimberly F. Colvin, Alwina Liu, Colin Fredericks, Daniel T. Seaton, David E. Pritchard

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

2013

Towards Real-Time Analytics in MOOCs.

Daniel T. Seaton, Yoav Bergner, Isaac L. Chuang, Piotr Mitros, David E. Pritchard

Proceedings of the 2nd International Workshop on Teaching Analytics, 2013

Exploring the relationship between course structure and etext usage in blended and open online courses.

Daniel T. Seaton, Yoav Bergner, David E. Pritchard

Proceedings of the 6th International Conference on Educational Data Mining, 2013

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 the 6th International Conference on Educational Data Mining, 2013

Bringing student backgrounds online: MOOC user demographics, site usage, and online learning.

Jennifer DeBoer, Glenda S. Stump, Daniel T. Seaton, Andrew D. Ho, David E. Pritchard, Lori Breslow

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Analysis of Video Use in edX Courses.

Daniel T. Seaton, Albert J. Rodenius, Cody A. Coleman, David E. Pritchard, Isaac L. Chuang

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012

Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory.

Yoav Bergner, Stefan Dröschler, Gerd Kortemeyer, Saif Rayyan, Daniel T. Seaton, David E. Pritchard

Proceedings of the 5th International Conference on Educational Data Mining, 2012