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Can I read Supporting Students’ Generation of Feedback in Large-scale Online Course with Artificial Intelligence-enabled Evaluation on EtoBox?
Supporting Students’ Generation of Feedback in Large-scale Online Course with Artificial Intelligence-enabled Evaluation by Alwyn Vwen Yen LEE is a Social Sciences article available to read on EtoBox.
What is Supporting Students’ Generation of Feedback in Large-scale Online Course with Artificial Intelligence-enabled Evaluation about?
Educators in large-scale online courses tend to lack the necessary resources to generate and provide adequate feedback for all students, especially when students’ learning outcomes are evaluated through student writing. As a result, students welcome peer feedback and sometimes generate self-feedback to widen their perspectives and obtain feedback, but often lack the support to do so. This study, as part of a larger project, sought to address this prevalent problem in large-scale courses by allowing students to write essays as an expression of their opinions and response to others, conduct peer and self-evaluation, using provided rubric and Artificial Intelligence (AI)-enabled evaluation to aid the giving and receiving of feedback. A total of 605 undergraduate students were part of a large-scale online course and contributed over 2500 short essays during a semester. The research design uses a mixed-methods approach, consisting qualitative measures used during essay coding, and quantitative methods from the application of machine learning algorithms. With limited instructors and resources, students first use instructor-developed rubric to conduct peer and self-assessment, while instr
Who reads Supporting Students’ Generation of Feedback in Large-scale Online Course with Artificial Intelligence-enabled Evaluation?
It is typically read by researchers, students, and practitioners in Social Sciences.
- Author
- Alwyn Vwen Yen LEE
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Social Sciences