Social factors that contribute to attrition in MOOCs

By Carolyn Penstein Rosé, R. Carlson, Diyi Yang, Miaomiao Wen, Lauren B. Resnick, Pam Goldman, Jennifer Sherer. 2014

141 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yejin Choi
2. Ronan Le Bras
3. Maarten Sap
4. Diyi Yang
5. Mohit Bansal
6. Daniel Fried
7. Noah A. Smith
8. Luke S. Zettlemoyer

In Computer Science Applications

1. Yejin Choi
2. Diyi Yang
3. Katy Jordan
4. Maarten Sap
5. Carolyn Penstein Rosé

In Social Sciences & Humanities

1. Yejin Choi
2. Maarten Sap

Citations in the corpus

• Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, background): “, 2021), or facilitated discussion (Rosé et al., 2014).”
• Massive Open Online Course Completion Rates Revisited: Assessment, Length and Attrition (2015, background): “Greater focus to date has been on the motivations and behaviours of students in relation to success (for example, Breslow et al., 2013; Kizilcec et al., 2013; Koller, Ng, Do & Chen, 2013; Rosé et al., 2014).”
• Sentiment Analysis in MOOC Discussion Forums: What does it tell us? (2014, background): “Keywords Sentiment analysis, Opinion mining, Massive Open Online Course, MOOC, Forum posts”