Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring the Educational Potential of ChatGPT: AI-Assisted Narrative Writing for EFL College Students
19
Zitationen
1
Autoren
2024
Jahr
Abstract
Although ChatGPT provides excellent features as a writing assistant tool, few empirical studies have been conducted on its integration into writing education investigating students’ usage pattern and impact on the writing skills of students. This exploratory research aims to fill this research gap by analyzing prompts initiated by students and examining the effects of ChatGPT-assisted narrative writing to explore the educational potential of ChatGPT in college-level L2 writing. Toward this end, the study recruited 44 university students in South Korea. The study explored their patterns of use of ChatGPT and the effects of the narrative writing intervention assisted by ChatGPT. The major findings were as follows. The top three request prompts were: Request for language use, Request for revision, Request for information. The most frequent requests were related to linguistic aspects, and ChatGPT demonstrated successful surface-level error detection. Next, the results of the paired sample t-test and Wilcoxon signed rank test to determine the effect of ChatGPT-assisted narrative writing demonstrated high post-test scores in writing fluency and overall performance, and this difference was statistically significant. On the other hand, the post-test scores for syntactic complexity were lower than those for the pre-test, and this difference was also significant. Regarding clause complexity, clausal complements per clause exhibited a significant increase in the post-test. Based on these findings, the pedagogical implications are suggested.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.