Tozadore, D;
Ertug, N;
Chaker, Y;
Abderrahim, M;
(2025)
RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities.
In:
IEEE International Workshop on Robot and Human Communication Ro Man.
(pp. pp. 1543-1549).
IEEE: Eindhoven, Netherlands.
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Abstract
Creating and improvising scenarios for content approaching is an enriching technique in education. However, it comes with a significant increase in the time spent on its planning, which intensifies when using complex technologies, such as social robots. Furthermore, addressing multicultural integration is commonly embedded in regular activities due to the already tight curriculum. Addressing these issues with a single solution, we implemented an intuitive interface that allows teachers to create scenario-based activities from their regular curriculum using LLMs and social robots. We co-designed different frameworks of activities with 4 teachers and deployed it in a study with 27 students for 1 week. Beyond validating the system's efficacy, our findings highlight the positive impact of integration policies perceived by the children and demonstrate the importance of scenario-based activities in students' enjoyment, observed to be significantly higher when applying storytelling. Additionally, several implications of using LLMs and social robots in long-term classroom activities are discussed.
| Type: | Proceedings paper |
|---|---|
| Title: | RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities |
| Event: | 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) |
| Dates: | 25 Aug 2025 - 29 Aug 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/RO-MAN63969.2025.11217800 |
| Publisher version: | https://doi.org/10.1109/ro-man63969.2025.11217800 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. It has been made open access under the Creative Commons (CC BY) licence under the terms of the UCL Intellectual Property (IP) Policy and UCL Publications Policy. |
| Keywords: | Large Language Models, Social Robots, Teachers, Education, Children-Robot Interaction. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10219700 |
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