A qualitative review of educational robots for STEM: Technical features and impacts

Book chapter


Manna, Soumya Kanti, Azhar, M. A. Hannan Bin and Greace, Ann 2024. A qualitative review of educational robots for STEM: Technical features and impacts. in: Proceedings of the International Convention MIPRO IEEE.
AuthorsManna, Soumya Kanti, Azhar, M. A. Hannan Bin and Greace, Ann
Abstract

Educational robots have played a vital role in enhancing science and engineering education for children worldwide. There are several educational robots available to boost students’ mindsets in STEM fields through a variety of activities. The robots are equipped with sensors, actuators, and programming platforms to improve students’ technical and professional skills, but most are not affordable and accessible to school students, especially those from lower and middle-income countries. The purpose of this paper is to discuss the importance and significance of robots in STEM education through a qualitative review of a wide range of educational robots including their sensors, actuators, outputs, and embedded systems. The use of these robots in educational activities has proven to be intriguing, and research is thriving to make them more affordable and accessible while keeping educational objectives at forefront. Humanoid social robots with emotional attributes have been found appealing to improve student learning in a school setting by enhancing their engagement in the environment. This paper also discusses how education robots impact students’ technical and professional experience.

KeywordsSTEM; Educational robots; Technical and interactive skills; Social robot; Impact
Year2024
Book titleProceedings of the International Convention MIPRO
PublisherIEEE
Output statusPublished
ISBN9798350382501
ISSN2623-8764
Publication dates
Print20 May 2024
Publication process dates
Deposited03 Jul 2024
Digital Object Identifier (DOI)https://doi.org/10.1109/mipro60963.2024.10569301
Official URLhttps://ieeexplore.ieee.org/document/10569301
Related URLhttp://www.mipro.hr/MIPRO2024.EE/ELink.aspx
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Journal2024 47th MIPRO ICT and Electronics Convention (MIPRO)
Event47th MIPRO ICT and Electronics Convention (MIPRO)
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10569139/proceeding
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Azhar, H., Deravi, F. and Dimond, K. 2008. Particle swarm intelligence to optimize the learning of n-tuples. Journal of Intelligent Systems. 17 (S), pp. 169-196. https://doi.org/10.1515/JISYS.2008.17.S1.169
Automatic identification of wildlife using local binary patterns
Azhar, H., Hoque, S. and Deravi, F. 2012. Automatic identification of wildlife using local binary patterns. in: IET Conference on Image Processing (IPR 2012) Institute of Engineering and Technology. pp. 5-11
Zoometrics - biometric identification of wildlife using natural body marks
Hoque, S., Azhar, H. and Deravi, F. 2011. Zoometrics - biometric identification of wildlife using natural body marks. International Journal of Bio-Science and Bio-Technology. 3 (3), pp. 45-53.
Forensic acquisitions of WhatsApp data on popular mobile platforms
Shortall, A. and Azhar, H. 2015. Forensic acquisitions of WhatsApp data on popular mobile platforms. in: Proceedings of the Sixth International Conference on Emerging Security Technologies IEEE. pp. 13-17