Dustin Tingley

According to our database, Dustin Tingley authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

Which Planning Tactics Predict Online Course Completion?

Ji Yong Cho, Yan Tao, Michael Yeomans, Dustin Tingley, René F. Kizilcec

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2021

Widening Access to Applied Machine Learning with TinyML.

Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby R. Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley

CoRR, 2021

2019

Modelling and Using Response Times in Online Courses.

Ilia Rushkin, Isaac L. Chuang, Dustin Tingley

J. Learn. Anal., December, 2019

2018

The politeness Package: Detecting Politeness in Natural Language.

Michael Yeomans, Alejandro Kantor, Dustin Tingley

R J., 2018

The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums.

Michael Yeomans, Brandon M. Stewart, Kimia Mavon, Alexander Kindel, Dustin Tingley, Justin Reich

Int. J. Artif. Intell. Educ., 2018

The effects of adaptive learning in a massive open online course on learners' skill development.

Yigal Rosen, Ilia Rushkin, Rob Rubin, Liberty Munson, Andrew M. Ang, Gregory Weber, Glenn Lopez, Dustin Tingley

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments.

Joseph Jay Williams, Anna N. Rafferty, Dustin Tingley, Andrew M. Ang, Walter S. Lasecki, Juho Kim

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

Adaptive Learning Open Source Initiative for MOOC Experimentation.

Yigal Rosen, Ilia Rushkin, Rob Rubin, Liberty Munson, Andrew M. Ang, Gregory Weber, Glenn Lopez, Dustin Tingley

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Delving Deeper into MOOC Student Dropout Prediction.

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

CoRR, 2017

MOOClets: A Framework for Dynamic Experimentation and Personalization.

Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim

Proceedings of the Fourth ACM Conference on Learning @ Scale, 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

Designing Adaptive Assessments in MOOCs.

Yigal Rosen, Ilia Rushkin, Andrew M. Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink

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

Discourse: MOOC Discussion Forum Analysis at Scale.

Alexander Kindel, Michael Yeomans, Justin Reich, Brandon M. Stewart, Dustin Tingley

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

Adaptive Assessment Experiment in a HarvardX MOOC.

Ilia Rushkin, Yigal Rosen, Andrew M. Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink, Glenn Lopez

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation.

Joseph Jay Williams, Anna N. Rafferty, Andrew M. Ang, Dustin Tingley, Walter S. Lasecki, Juho Kim

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums.

Justin Reich, Brandon M. Stewart, Kimia Mavon, Dustin Tingley

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

Navigating the Local Modes of Big Data: The Case of Topic Models.

Margaret E. Roberts, Brandon M. Stewart, Dustin Tingley

Proceedings of the Computational Social Science: Discovery and Prediction, 2016

2015

TopicCheck: Interactive Alignment for Assessing Topic Model Stability.

Jason Chuang, Margaret E. Roberts, Brandon M. Stewart, Rebecca Weiss, Dustin Tingley, Justin Grimmer, Jeffrey Heer

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Computer-Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses.

Justin Reich, Dustin Tingley, Jetson Leder-Luis, Margaret E. Roberts, Brandon M. Stewart

J. Learn. Anal., November, 2014