Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/34635
Author(s): Carmo, I.
Costa, P.
Santana, P.
Editor: Anabela Marto
José Creissac Campos
Date: 2024
Title: Boosting children's reading motivation with LLM-generated story crossovers
Book title/volume: Proceedings of the International Conference on Graphics and Interaction (ICGI)
Reference: Carmo, I., Costa, P., & Santana, P. (2024). Boosting children's reading motivation with LLM-generated story crossovers. In A. Marto, & J. C. Campos (Eds.), Proceedings of the International Conference on Graphics and Interaction (ICGI). IEEE. https://doi.org/10.1109/ICGI64003.2024.10923732
ISBN: 979-8-3315-3599-5
Keywords: Reading motivation
Large Language Models (LLMs)
Educational mobile tool
Children’s interests
Tool design and development
System Usability Scale (SUS)
Abstract: It is widely recognised that reading is essential for children's education. Nevertheless, the hours children should spend reading are increasingly being replaced by hours in front of tablets, phones, or computer screens. To counter this trend, we developed a tool that allows educators to create stories that combine children's interests with literary classics. The goal is to motivate the reading indirectly through children's interests. The tool exploits the generative capabilities of ChatGPT to create compelling crossovers between literature classics and children's interests. The tool was developed under the design participatory paradigm. A user study conducted in Lisbon, Portugal with 20 children shows a positive experience with the tool and an increase in motivation to read the classics after using it. This paper presents the design, development, and evaluation of the tool.
Peerreviewed: yes
Access type: Embargoed Access
Appears in Collections:ISTAR-CRI - Comunicações a conferências internacionais

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