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Dustin Tingley
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2020 – today
- 2024
- [c13]Ji Yong Cho, Yan Tao, Michael Yeomans, Dustin Tingley, René F. Kizilcec:
Which Planning Tactics Predict Online Course Completion? LAK 2024: 360-370 - 2021
- [i3]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:
Widening Access to Applied Machine Learning with TinyML. CoRR abs/2106.04008 (2021)
2010 – 2019
- 2019
- [j4]Ilia Rushkin, Isaac L. Chuang, Dustin Tingley:
Modelling and Using Response Times in Online Courses. J. Learn. Anal. 6(3) (2019) - 2018
- [j3]Michael Yeomans, Brandon M. Stewart, Kimia Mavon, Alexander Kindel, Dustin Tingley, Justin Reich:
The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums. Int. J. Artif. Intell. Educ. 28(4): 553-589 (2018) - [j2]Michael Yeomans, Alejandro Kantor, Dustin Tingley:
The politeness Package: Detecting Politeness in Natural Language. R J. 10(2): 489 (2018) - [c12]Yigal Rosen, Ilia Rushkin, Rob Rubin, Liberty Munson, Andrew M. Ang, Gregory Weber, Glenn Lopez, Dustin Tingley:
Adaptive Learning Open Source Initiative for MOOC Experimentation. AIED (2) 2018: 307-311 - [c11]Joseph Jay Williams, Anna N. Rafferty, Dustin Tingley, Andrew M. Ang, Walter S. Lasecki, Juho Kim:
Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. CHI 2018: 207 - [c10]Yigal Rosen, Ilia Rushkin, Rob Rubin, Liberty Munson, Andrew M. Ang, Gregory Weber, Glenn Lopez, Dustin Tingley:
The effects of adaptive learning in a massive open online course on learners' skill development. L@S 2018: 6:1-6:8 - [i2]Ilia Rushkin, Isaac L. Chuang, Dustin Tingley:
Modelling and Using Response Times in Online Courses. CoRR abs/1801.07618 (2018) - 2017
- [c9]Joseph Jay Williams, Anna N. Rafferty, Andrew M. Ang, Dustin Tingley, Walter S. Lasecki, Juho Kim:
Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. CHI Extended Abstracts 2017: 3012-3018 - [c8]Ilia Rushkin, Yigal Rosen, Andrew M. Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink, Glenn Lopez:
Adaptive Assessment Experiment in a HarvardX MOOC. EDM 2017 - [c7]Alexander Kindel, Michael Yeomans, Justin Reich, Brandon M. Stewart, Dustin Tingley:
Discourse: MOOC Discussion Forum Analysis at Scale. L@S 2017: 141-142 - [c6]Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley:
MOOC Dropout Prediction: How to Measure Accuracy? L@S 2017: 161-164 - [c5]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 - [c4]Yigal Rosen, Ilia Rushkin, Andrew M. Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink:
Designing Adaptive Assessments in MOOCs. L@S 2017: 233-236 - [c3]Joseph Jay Williams, Anna N. Rafferty, Samuel G. Maldonado, Andrew M. Ang, Dustin Tingley, Juho Kim:
MOOClets: A Framework for Dynamic Experimentation and Personalization. L@S 2017: 287-290 - [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
- [c2]Justin Reich, Brandon M. Stewart, Kimia Mavon, Dustin Tingley:
The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums. L@S 2016: 1-10 - [p1]Margaret E. Roberts, Brandon M. Stewart, Dustin Tingley:
Navigating the Local Modes of Big Data: The Case of Topic Models. Computational Social Science 2016: 51-97 - 2015
- [c1]Jason Chuang, Margaret E. Roberts, Brandon M. Stewart, Rebecca Weiss, Dustin Tingley, Justin Grimmer, Jeffrey Heer:
TopicCheck: Interactive Alignment for Assessing Topic Model Stability. HLT-NAACL 2015: 175-184 - 2014
- [j1]Justin Reich, Dustin Tingley, Jetson Leder-Luis, Margaret E. Roberts, Brandon M. Stewart:
Computer-Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses. J. Learn. Anal. 2(1) (2014)
Coauthor Index
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last updated on 2024-05-08 21:50 CEST by the dblp team
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