Dustin Tingley

According to our database1, Dustin Tingley authored at least 18 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Widening Access to Applied Machine Learning with TinyML.
CoRR, 2021

2018
The politeness Package: Detecting Politeness in Natural Language.
R J., 2018

Modelling and Using Response Times in Online Courses.
CoRR, 2018

The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums.
Int. J. Artif. Intell. Educ., 2018

The effects of adaptive learning in a massive open online course on learners' skill development.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Adaptive Learning Open Source Initiative for MOOC Experimentation.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Delving Deeper into MOOC Student Dropout Prediction.
CoRR, 2017

MOOClets: A Framework for Dynamic Experimentation and Personalization.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

MOOC Dropout Prediction: How to Measure Accuracy?
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Designing Adaptive Assessments in MOOCs.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Discourse: MOOC Discussion Forum Analysis at Scale.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Adaptive Assessment Experiment in a HarvardX MOOC.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation.
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.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Navigating the Local Modes of Big Data: The Case of Topic Models.
Proceedings of the Computational Social Science: Discovery and Prediction, 2016

2015
TopicCheck: Interactive Alignment for Assessing Topic Model Stability.
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


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