Collaboration Between Parents and Children Using Robots

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Abstract

In this paper we report from a study where families (children aged 10–15 and parents) work together in their own homes on programming tasks with an educational robot Robomaster S1. The purpose of the study is to improve the science, technology, engineering, mathematics (STEM) and computational thinking (CT) competencies for both parents and children. The data collection involves self-recording and self-assessment done by the families after each completed task. In this paper we present and evaluate the method along with preliminary results from the data collection. The preliminary results provided insights about the collaboration and interaction with the robot and initial feedback about the method and tasks. The preliminary results indicated that the family improved their understanding of technology and programming. Furthermore, the children in the study supported the parent with explaining the mathematics concepts. We hope that the future results and studies can contribute to understanding the children-parent collaboration and how children use STEM and CT to solve problems while working with robotics.
OriginalsprogEngelsk
TitelDesign, Learning, and Innovation : 7th EAI International Conference, DLI 2022, Faro, Portugal, November 21-22, 2022, Proceedings
RedaktørerEva Brooks, Jeanette Sjöberg, Anders Kalsgaard Møller, Emma Edstrand
Antal sider13
ForlagSpringer
Publikationsdato2023
Sider55-67
ISBN (Trykt)978-3-031-31391-2
ISBN (Elektronisk)978-3-031-31392-9
DOI
StatusUdgivet - 2023
BegivenhedEAI DLI 2022 - 7th EAI International Conference on Design, Learning & Innovation - Faro, Portugal
Varighed: 21 nov. 202222 nov. 2022
https://designlearninginnovation.eai-conferences.org/2022/

Konference

KonferenceEAI DLI 2022 - 7th EAI International Conference on Design, Learning & Innovation
Land/OmrådePortugal
ByFaro
Periode21/11/202222/11/2022
Internetadresse
NavnLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
Vol/bind493
ISSN1867-8211

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