A Study of the Effectiveness of Student Perception-Based AI Feedback in College Writing Classes

This study examined the educational effectiveness of AI-based automated evaluation feedback tools in college writing courses. Amid active discussions on the use of AI in liberal arts education, the study applied AI automated evaluation tools to actual writing classes and analyzed the results. The findings show that AI feedback positively influenced students' motivation for writing and achieved a high level of satisfaction in areas such as spelling, vocabulary, grammar, and expression correction accuracy. AI automated evaluation feedback helps reduce the feedback burden on instructors and assists them in providing meaningful feedback to students. It is expected that AI-based automated writing feedback tools will contribute to fostering AI literacy. This case study is significant in that it offers insights for effectively incorporating AI automated evaluation feedback into college writing courses.

Authors

Publication Details

Journal
The Korean Association of General Education
Published
2024-10-31
DOI
https://doi.org/10.46392/kjge.2024.18.5.159
Citations
2
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
1.56

Funders

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article

A Study of the Effectiveness of Student Perception-Based AI Feedback in College Writing Classes

Yunam Cheong
2 citations
The Korean Association of General Education
Education and Learning Interventions
1.56
article

A Study of the Effectiveness of Student Perception-Based AI Feedback in College Writing Classes

Yunam Cheong
article en
2 citations

Abstract

This study examined the educational effectiveness of AI-based automated evaluation feedback tools in college writing courses. Amid active discussions on the use of AI in liberal arts education, the study applied AI automated evaluation tools to actual writing classes and analyzed the results. The findings show that AI feedback positively influenced students' motivation for writing and achieved a high level of satisfaction in areas such as spelling, vocabulary, grammar, and expression correction accuracy. AI automated evaluation feedback helps reduce the feedback burden on instructors and assists them in providing meaningful feedback to students. It is expected that AI-based automated writing feedback tools will contribute to fostering AI literacy. This case study is significant in that it offers insights for effectively incorporating AI automated evaluation feedback into college writing courses.

The Korean Association of General EducationVol. 18(5)
Sunchon National University
Quality Education
Openalex Percentile: Top 12%
Education and Learning Interventions
1.56
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A Study of the Effectiveness of Student Perception-Based AI Feedback in College Writing Classes — Yunam Cheong · The Korean Association of General Education (2024) | TGRS Research Map | TGRS