RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities

Fuente: arXiv
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Main Authors: Tozadore, Daniel, Ertug, Nur, Chaker, Yasmine, Abderrahim, Mortadha
Format: Preprint
Published: 2025
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author Tozadore, Daniel
Ertug, Nur
Chaker, Yasmine
Abderrahim, Mortadha
author_facet Tozadore, Daniel
Ertug, Nur
Chaker, Yasmine
Abderrahim, Mortadha
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_16706
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
Tozadore, Daniel
Ertug, Nur
Chaker, Yasmine
Abderrahim, Mortadha
Computers and Society
Artificial Intelligence
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.
title RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2508.16706