Browsing by Author "Alamri, Tahani"

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Exploring the Efficacy of ChatGPT Feedback in L2 Writing: Perspectives from Teachers and Students
(Lancaster University, 2024) Alamri, Tahani; Lo, Justin
The emergence of user-friendly, widely accessible generative AI tools like ChatGPT has sparked widespread interest in academia. As students increasingly turn to these tools for various tasks, educational institutions have adopted different policies, from complete bans to active exploration of their potential applications. One frequently proposed application in recent research is using these tools to provide written corrective feedback on students' writing. This dissertation investigates the efficacy of ChatGPT feedback and the potential of AI tools in L2 writing instruction through the perspectives of L2 teachers and students. The aim is to contribute to the current understanding of AI and how it could potentially benefit or hinder L2 writing instruction, as well as determine the optimal approach for incorporating this tool. To achieve this, two online questionnaires were utilized, one targeting teachers and one for students. Participants evaluated samples of GPT feedback on a 5-criteria scale and shared their insights about the potential role of GPT in writing instruction in addition to the potential benefits and concerns. The findings showed that teachers and students generally viewed GPT feedback favorably. However, they acknowledged the limitations of AI feedback and the potential challenges AI systems might create if misused. Therefore, the majority opted for a balanced approach between teacher and AI feedback for maximized benefits and reducing risks.
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