Capturing Student Feedback and Emotions in Large Computing Courses: A Sentiment Analysis Approach

Author:

Neumann Marion1,Linzmayer Robin1

Affiliation:

1. Washington University in St. Louis, St. Louis, MO, USA

Funder

NSF

Publisher

ACM

Cited by 6 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. Transitioning to Online Instructions and COVID-19 Response: A View from Mining Emergent College Students Discourse in Online Discussion Forum;International Journal of Artificial Intelligence in Education;2024-06-25

2. Towards an improved of teaching practice using Sentiment Analysis in Student Evaluation;Ingeniería y Competitividad;2024-06-20

3. Leveraging Emotionally-Charged Student Reflections to Improve Classroom Communication;Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2;2023-08-07

4. Professional Development Strategies and Recommendations for High School Teachers to Teach Computer Science Online;Computers in the Schools;2022-10-12

5. Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance;LAK22: 12th International Learning Analytics and Knowledge Conference;2022-03-21

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