Supporting Teacher-Student Book Talk and Book Wish Lists with AI-Driven Technology
DOI:
https://doi.org/10.58459/icce.2024.4958Abstract
This study explores the integration of artificial intelligence (AI) assistant in educational settings, focusing on two key teacher-student interaction activities: Teacher-Student Book Talk and Book Wish Lists. Conducted at an elementary school in northern Taiwan, semi-structured interviews to identify the main challenges and difficulties faced by teachers. The literature review highlighted the significant potential of AI as an educational assistant. Using a design-based research approach, several interviews with teachers led to the development and optimization of a digital system designed to address these challenges. The identified challenges included tracking classroom book availability, managing students' reading histories with paper-based wish lists, and recording book talk activities. The implemented system enabled teachers to efficiently track students' reading histories, manage book recommendations, and facilitate AI-assisted book talk. Results showed that the system not only streamlined the management of reading activities, significantly reducing teacher workload, but also enhanced the quality of teacher-student interactions by providing personalized guidance. While some teachers noted an increased workload in managing new content, overall feedback was positive, with a strong willingness to continue using the system. This study addresses previous challenges in managing reading activities and demonstrates that AI-assisted book talk can improve both the efficiency and effectiveness of educational activities. Future research will explore the integration of AI with learning companions to further support reading among parents, teachers, and students.