Presentation Schedule
English Production Learning Cycle Using Generative AI in Image Description Tasks: Focusing on Lowering Psychological Barriers and Promoting Autonomous Noticing (110248)
Session: On Demand
Room: Virtual Video Presentation
Presentation Type:Virtual Presentation
This study examines how a learning cycle of "English output, reference to samples, and self-correction" affects learners' psychological barriers and "noticing" within AI-generated image description tasks. A total of 129 university students (n = 65, n = 64) performed two identical tasks while referring to AI-generated sample descriptions with different levels. The procedure followed a three-step cycle: (1) independent output, (2) reference to an AI sample, and (3) revision based on that sample. Participants rated the samples on a 5-point scale across three dimensions—vocabulary, grammar, and organization. Finally, an overall survey was conducted. Key findings revealed: (1) Over 90% of participants perceived the cycle positively. The framework’s focus on subsequent revision lowered the anxiety of making mistakes and fostered psychological security by reducing a sense of incompleteness. (2) Regarding sample usefulness, both groups gave high ratings of 4.4 or higher on average across all dimensions. While no significant differences were found between the groups in vocabulary or grammar, a significant difference in "organization" was observed between the groups in one task. Findings suggest that structures explicitly describing spatial arrangements (e.g., "on the left/right" or "in the background") were particularly helpful. (3) Over 90% of participants gained a sense of improvement by revising their own work using AI samples as a point of reference rather than merely viewing model answers. Furthermore, 60–70% identified AI-generated similar images and texts as effective support resources. These results demonstrate the effectiveness and future potential of Generative AI in fostering autonomous learning.
Authors:
Harumi Kashiwagi, Kobe University, Japan
Min Kang, Kobe University, Japan
About the Presenter(s)
Dr Harumi Kashiwagi is a University Professor/Principal Lecturer at Kobe University in Japan
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