Mining Code Submissions to Elucidate Disengagement in a Computer Science MOOC-Reference-Cited by-同舟云学术

Mining Code Submissions to Elucidate Disengagement in a Computer Science MOOC

Published:2022-03-21 Issue: Volume: Page:
ISSN:
Container-title:LAK22: 12th International Learning Analytics and Knowledge Conference
language:
Short-container-title:

Author:

Vinker Efrat¹,Rubinstein Amir¹

Affiliation:

1. Tel Aviv University, Blavatnik School of Computer Science, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3506860.3506877

Reference51 articles.

1. https://www.classcentral.com/report/the-second-year-of-the-mooc [link extracted September 2021] https://www.classcentral.com/report/the-second-year-of-the-mooc [link extracted September 2021]

2. Ng , Andrew , and Jennifer Widom . "Origins of the modern MOOC (xMOOC)." Hrsg. Fiona M. Hollands , Devayani Tirthali : MOOCs: Expectations and Reality: Full Report ( 2014 ): 34-47.‏ Ng, Andrew, and Jennifer Widom. "Origins of the modern MOOC (xMOOC)." Hrsg. Fiona M. Hollands, Devayani Tirthali: MOOCs: Expectations and Reality: Full Report (2014): 34-47.‏

3. The concept of openness behind c and x-MOOCs (Massive Open Online Courses)

4. Learning in MOOCs: Motivations and self-regulated learning in MOOCs

5. Wong Jacqueline "Supporting self-regulated learning in online learning environments and MOOCs: A systematic review." International Journal of Human–Computer Interaction 35.4-5 (2019): 356-373.‏ Wong Jacqueline "Supporting self-regulated learning in online learning environments and MOOCs: A systematic review." International Journal of Human–Computer Interaction 35.4-5 (2019): 356-373.‏

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Systematic Literature Review on Performance Prediction in Learning Programming Using Educational Data Mining;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

2. Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining — A survey;Engineering Applications of Artificial Intelligence;2023-06

3. Utilizing programming traces to explore and model the dimensions of novices' code‐writing skill;Computer Applications in Engineering Education;2023-03-10

4. Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses;Journal of Computer Assisted Learning;2023-03-06

5. Plagiarism Deterrence in CS1 Through Keystroke Data;Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1;2023-03-02