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

Conference paper


Manna, S. and Azhar, H. 2022. A qualitative review of educational robots for STEM: Technical features and impacts.
AuthorsManna, S. and Azhar, H.
TypeConference paper
Description

Educational robots have played a major role to enhance science and engineering education for school children. It is one of the priority areas of education research all over the world. Several educational robots have been developed to provide many activities to boost students’ mindsets in STEM areas. Most robots are equipped with sensors, actuators and programming platforms to train students with technical and professional skills, however, those are not cost-effective and accessible to school students, especially to lower and middle-income countries. In this paper, the importance and significance of robots in STEM education are addressed through a qualitative review of a large number of educational robots. The paper also explores the types of educational robots, their sensors, actuators, output, and embedded system with different features. Several types of intriguing educational activities can be performed using those robots and how research is thriving to make robots more affordable and accessible in schools while keeping the educational objectives as a priority. One of the interesting findings is that social robots with humanoid features and emotional attributes can enhance the engagement of students in a school setting for better learning outcomes as it will make the process more interactive and exciting. The paper also brings the impact of education robots on school students as they practically explore STEM subjects.

KeywordsSTEM; Robotics; Educational robots; Technical and professional skills; Social robots
Year2022
ConferenceII IEEE Interdisciplinary Conference on Mechanics, Computers and Electrics
Official URLhttp://icmece.org/home
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References

[1] Y.E.Y. Siregar, R. Rachmadtullah, N. Pohan and M.S. Zulela, "The impacts of science, technology, engineering, and mathematics (STEM) on critical thinking in elementary school," in Journal of Physics: Conference Series, pp. 012156, 2019.
[2] K. Chin, Z. Hong and Y. Chen, "Impact of using an educational robot-based learning system on students’ motivation in elementary education," IEEE Transactions on Learning Technologies, vol. 7, pp. 333-345, 2014.
[3] F. Mondada, M. Bonani, F. Riedo, M. Briod, L. Pereyre, P. Rétornaz and S. Magnenat, "Bringing robotics to formal education: The thymio open-source hardware robot," IEEE Robotics & Automation Magazine, vol. 24, pp. 77-85, 2017.
[4] Anonymous "The educational robot market is expected to grow from USD 1.3 billion in 2021 and is projected to reach USD 2.6 billion by 2026; it is expected to grow at a CAGR of 16.1%," GlobeNewswire, 25th January,. 2021.
[5] D. Ziouzios, M. Ioannou, T. Ioanna, T. Bratitsis and M. Dasygenis, "Emotional intelligence and educational robotics: the development of the EI-EDUROBOT," European Journal of Engineering and Technology Research, 2020.
[6] M.A. Souza and J.R. Duarte, "Low-cost educational robotics applied to physics teaching in Brazil," Physics Education, vol. 50, pp. 482, 2015.
[7] Z. Abidin, R. Arifudin, W. Hardyanto, I. Akhlis, R. Umer and N. Kurniawan, "Low-cost educational robotics for promoting STEM education," in Journal of Physics: Conference Series, pp. 042018, 2021.
[8] F. Arvin, J. Espinosa, B. Bird, A. West, S. Watson and B. Lennox, "Mona: an affordable open-source mobile robot for education and research," Journal of Intelligent & Robotic Systems, vol. 94, pp. 761-775, 2019.
[9] F.M. López-Rodríguez and F. Cuesta, "Andruino-a1: Low-cost educational mobile robot based on android and arduino," Journal of Intelligent & Robotic Systems, vol. 81, pp. 63-76, 2016.
[10] F. Mondada, M. Bonani, X. Raemy, J. Pugh, C. Cianci, A. Klaptocz, S. Magnenat, J. Zufferey, D. Floreano and A. Martinoli, "The e-puck, a robot designed for education in engineering," in Proceedings of the 9th conference on autonomous robot systems and competitions, pp. 59-65, 2009.
[11] J.M. Soares, I. Navarro and A. Martinoli, "The Khepera IV mobile robot: performance evaluation, sensory data and software toolbox," in Robot 2015: second Iberian robotics conference, pp. 767-781, 2016.
[12] J. Yu, S.D. Han, W.N. Tang and D. Rus, "A portable, 3D-printing enabled multi-vehicle platform for robotics research and education," in 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 1475-1480, 2017.
[13] J. McLurkin, J. Rykowski, M. John, Q. Kaseman and A.J. Lynch, "Using multi-robot systems for engineering education: Teaching and outreach with large numbers of an advanced, low-cost robot," IEEE Transactions on Education, vol. 56, pp. 24-33, 2012.
[14] F. Riedo, M. Chevalier, S. Magnenat and F. Mondada, "Thymio II, a robot that grows wiser with children," in 2013 IEEE workshop on advanced robotics and its social impacts, pp. 187-193, 2013.
[15] D. Hayosh, X. Liu and K. Lee, "Woody: low-cost, open-source humanoid torso robot," in 2020 17th International Conference on Ubiquitous Robots (UR), pp. 247-252, 2020.
[16] M. Rubenstein, B. Cimino, R. Nagpal and J. Werfel, "AERobot: An affordable one-robot-per-student system for early robotics education," in 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 6107-6113, 2015.
[17] J. Shim, D. Kwon and W. Lee, "The effects of a robot game environment on computer programming education for elementary school students," IEEE Transactions on Education, vol. 60, pp. 164-172, 2016.
[18] S. Naneva, M. Sarda Gou, T.L. Webb and T.J. Prescott, "A systematic review of attitudes, anxiety, acceptance, and trust towards social robots," International Journal of Social Robotics, vol. 12, pp. 1179-1201, 2020.
[19] A. Islam, T.I.R. Uday, N. Ahmad, M.T. Islam, A. Ghosh, S. Kamal, T. Ahommed, M.I. Leon and E.A. Dhrubo, "EduBot: An Educational Robot for Underprivileged Children," in 2019 International Conference on Automation, Computational and Technology Management (ICACTM), pp. 232-236, 2019.
[20] E. Lopez-Caudana, P. Ponce, L. Cervera, S. Iza and N. Mazon, "Robotic platform for teaching maths in junior high school," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 12, pp. 1349-1360, 2018.
[21] P. Ponce, A. Molina, E.O.L. Caudana, G.B. Reyes and N.M. Parra, "Improving education in developing countries using robotic platforms," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 13, pp. 1401-1422, 2019.
[22] J. Shim, D. Kwon and W. Lee, "The effects of a robot game environment on computer programming education for elementary school students," IEEE Transactions on Education, vol. 60, pp. 164-172, 2016.
[23] F. Klassner and S. D. Anderson, "LEGO MindStorms: not just for K-12 anymore," in IEEE Robotics & Automation Magazine, vol. 10, no. 2, pp. 12-18, June 2003, doi: 10.1109/MRA.2003.1213611.
[24] D. Gouail lier et al., "Mechatronic design of NAO humanoid," 2009 IEEE International Conference on Robotics and Automation, 2009, pp. 769-774, doi: 10.1109/ROBOT.2009.5152516.
[25] A. Amanatiadis, V. G. Kaburlasos, C. Dardani and S. A. Chatzichristofis, "Interactive social robots in special education," 2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2017, pp. 126-129, doi: 10.1109/ICCE-Berlin.2017.8210609.

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