Examining Writing Feedback Dynamics from ChatGPT AI and Human Educators: a Comparative Study

动力学(音乐) 数学教育 心理学 计算机科学 教育学
作者
Ekrem Solak
出处
期刊:Pedagogika 卷期号:96 (7): 955-969 被引量:3
标识
DOI:10.53656/ped2024-7.05
摘要

As technology increasingly influences educational practices, it is crucial to comprehend the impact and effectiveness of AI in comparison to human-driven methodologies. In the field of language learning and writing instruction, one notable development is the emergence of AI-generated writing feedback tools. These tools, exemplified by ChatGPT in this study, promise efficiency, objectivity, and detailed insights for learners. This study aims to investigate the comparative effectiveness of an artificial intelligence (AI) automated writing feedback tool and human teacher feedback in enhancing the writing skills of English Language Learners. The research was conducted on fifteen third-year undergraduate students in the discipline of English Language Education, using a phenomenological design. The study collected qualitative data through assignments and feedback given to students at a higher education institution. The findings suggest that while human teachers were praised for their understanding, personalized guidance, and emotional intelligence in providing feedback, AI-generated feedback was considered more detailed and comprehensive. It highlights the importance of balancing efficiency with the human touch in the feedback process. This study makes a significant contribution to the ongoing discourse surrounding the integration of AI in education and its impact on the student-teacher dynamic.

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