What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC

Author:

Singh Anjali1,Brooks Christopher1,Lin Yiwen2,Li Warren1

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. University of California, Irvine, Irvine, CA, USA

Publisher

ACM

Reference43 articles.

Cited by 12 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. Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop;Proceedings of the Eleventh ACM Conference on Learning @ Scale;2024-07-09

2. Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation;Proceedings of the Eleventh ACM Conference on Learning @ Scale;2024-07-09

3. CodeTree: A System for Learnersourcing Subgoal Hierarchies in Code Examples;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

4. Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

5. Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy;Proceedings of the Tenth ACM Conference on Learning @ Scale;2023-07-20

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