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)
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Azhar, H., Casey, A. and Sakel, M. 2018. A cost-effective BCI assisted technology framework for neurorehabilitation.
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Naughton, P. and Azhar, H. 2017. An investigation on forensic opportunities to recover evidential data from mobile phones and personal computers.
BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients
Azhar, H., Barton, T., Casey, A. and Sakel, M. 2017. BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients. Research and Knowledge Exchange Conference 2017.
Open source forensics for a multi-platform drone system
Barton, T. and Azhar, H. 2018. Open source forensics for a multi-platform drone system. in: Matousek, P. and Schmiedecker, M. (ed.) 9th EAI International Conference on Digital Forensics & Cyber Crime Springer. pp. 83-96
Evaluation of the MPS Predictive Policing Trial (redacted)
Bryant, R., Azhar, H., Blackburn, B. and Falade, M. 2015. Evaluation of the MPS Predictive Policing Trial (redacted).
Forensic analysis of popular UAV systems
Barton, T. and Azhar, H. 2017. Forensic analysis of popular UAV systems. Emerging Security Technologies (EST), 2017 Seventh International Conference on. https://doi.org/10.1109/EST.2017.8090405
A wearable brain-computer interface controlled robot
Azhar, H., Badicioiu, A. and Barton, T. 2016. A wearable brain-computer interface controlled robot.
Forensic analysis of the recovery of Wickr’s ephemeral data on Android platforms
Barton, T. and Azhar, H. 2016. Forensic analysis of the recovery of Wickr’s ephemeral data on Android platforms. in: Klemas, T. and Falk, R. (ed.) CYBER 2016 : The First International Conference on Cyber-Technologies and Cyber-Systems IARIA. pp. 35-40
Forensic analysis of secure ephemeral messaging applications on Android platforms
Azhar, H. and Barton, T. 2017. Forensic analysis of secure ephemeral messaging applications on Android platforms. in: Global Security, Safety and Sustainability - The Security Challenges of the Connected World: 11th International Conference, ICGS3 2017, London, UK, January 18-20, 2017, Proceedings Springer.
Usability and performance measure of a consumer-grade brain computer interface system for environmental control by neurological patients
Deravi, F., Ang, C., Azhar, H., Al-Wabil, A., Philips, M. and Sakel, M. 2015. Usability and performance measure of a consumer-grade brain computer interface system for environmental control by neurological patients. International Journal of Engineering and Technology Innovation (IJETI). 5 (3), pp. 165-177.
Criticality dispersion in swarms to optimize n-tuples
Azhar, H., Deravi, F. and Dimond, K. 2008. Criticality dispersion in swarms to optimize n-tuples. in: GECCO '08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation New York Association for Computing Machinery. pp. 1-8
Particle swarm intelligence to optimize the learning of n-tuples
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