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The Impact of Artificial Intelligence Educational Robots in the Field of Education: a PRISMA Review

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Current State of Art in Artificial Intelligence and Ubiquitous Cities

Abstract

Education is an indispensable part of everyone's life. It lays the ground for the future generation and is a prerequisite for an independent life. It also determines the future of a country and a nation, and affects a country’s development. With the advancement of technology, the world has tremendous changes. People have changed their lifestyles and use new technologies for connecting, interacting, reading, and obtaining information. Hence education needs to adapt to the new era and changes in social customs. This research throws light on the impact of artificial intelligence robots on the education sector. We initially found one hundred thirteen articles published between 1999 and 2019 and only 18 articles meeting the criteria. We then categorise these studies into the following topics: (1) the impact of artificial intelligence educational robots on the creativity and motivation of students’ learning, and (2) the impact of artificial intelligence robots in education. This chapter comprises of six parts: the first part is the introduction, the second part summarises the purpose and research questions of this chapter, the third part is a literature review of educational robots concluding that robotics has a unique role in education, the fourth part discusses the research methods and survey results of this study, the fifth part provides a summary and discovery, and the last part is the conclusion.

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References

  • Alimisis, D., & Kynigos, C. (2009). Constructionism and robotics in education. Teacher education on robotic-enhanced constructivist pedagogical methods (pp. 11–26). School of Pedagogical and Technological Education (ASPETE).

    Google Scholar 

  • Barker, B. S., & Ansorge, J. (2007). Robotics as means to increase achievement scores in an informal learning environment. Journal of Research on Technology in Education, 39(3), 229–243. https://doi.org/10.1080/15391523.2007.10782481.

  • Bers, M. U. & Urrea, C. (2000). Technological prayers: Parents and children exploring robotics and values. Robots for kids: Exploring new technologies for learning (pp. 193–217). San Diego, CA: Academic Press.

    Google Scholar 

  • Crowe, D., LaPierre, M., & Kebritchi, M. (2017). Knowledge based artificial augmentation intelligence technology: Next step in academic instructional tools for distance learning. TechTrends, 61(5), 494–506.

    Article  Google Scholar 

  • Eguchi, A. (2014). Educational robotics theories and practice: Tips for how to do it right. Robotics: Concepts, methodologies, tools, and applications: concepts, methodologies, tools, and applications (pp. 193–223). IGI Global. https://doi.org/10.4018/978-1-4666-4607-0.ch011.

  • Erdogan, N., Sencer Corlu, M., & Capraro, R. M. Defining innovation literacy: Do robotics programmes help students develop innovation literacy skills? International Online Journal of Educational Sciences, 5(1). 1–9. http://www.yoksis.bilkent.edu.tr/pdf/?doi=12113.

  • Fang, Y., Chen, P., Cai, G., Lau, F. C. M., Liew, S. C., & Han, G. (2019). Outage limit-approaching channel coding for future wireless communications: Root-proto graph low-density parity-check codes. IEEE Vehicular Technology Magazine, 14(2), 85–93.

    Article  Google Scholar 

  • Giannakos, M. N., Jaccheri, L., & Proto, R. (2013). Teaching computer science to young children through creativity: Lessons learned from the case of Norway. In Proceedings of the 3rd Computer Science Education Research Conference on Computer Science Education Research (pp. 103–111). Arnhem, Netherlands.

    Google Scholar 

  • Hamner, E., & Cross, J. Arts & bots. (2013). Techniques for distributing a STEAM robotics programme through, K-12 classrooms. In Integrated STEM Education Conference (ISE 2013 IEEE) (pp. 1–5). Princeton, NJ: IEEE. https://doi.org/10.1109/ISECon.2013.6525207.

  • Han, J., & Kim, D. (2009). r-Learning services for elementary school students with a teaching assistant robot. In Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction (pp. 255–256). ACM. La Jolla, CA: ACM/IEEE.

    Google Scholar 

  • Kahraman, H. T., Sagiroglu, S., & Colak, I. (2010). Development of adaptive and intelligent Web-based educational systems. In Proceedings of 4th International Conference on Application of Information and Communication Technologies (pp. 1–5).

    Google Scholar 

  • Khanlari, A., & Kiaie, F. M. (2015). Using robotics for STEM education in primary/elementary schools: Teachers’ perceptions. In Proceedings of 2015 10th International Conference on Computer Science & Education (ICCSE). Cambridge, UK. https://doi.org/10.1109/ICCSE.2015.7250208.

  • Kim, C., Kim, D., Yuan, J., Hill, R. B., Doshi, P., & Thai, C. N. (2015). Robotics to promote elementary education pre-service teachers’ STEM engagement, learning, and teaching. Computers & Education, 91(C).14–31. https://doi.org/10.1016/j.compedu.2015.08.005.

  • Knop, L., Ziaeefard, S., Ribeiro, G. A., Page, B. R., Ficanha, E., Miller, M. H., & Mahmoudian, N. (2017). A human-interactive robotic programme for middle school STEM education. In Proceedings of Frontiers in Education Conference (FIE) (pp. 1–7). Indianapolis, IN: IEEE. https://doi.org/10.1109/FIE.2017.8190575.

  • Kory, J., & Breazeal, C. (2014). Storytelling with robots: Learning companions for preschool children's language development. In 2014 RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication (pp. 643–648). IEEE.

    Google Scholar 

  • Kory, J. M., Jeong, S., & Breazeal, C. L. (2013). Robotic learning companions for early language development. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction (pp.71–72). New York, NY: ACM. https://doi.org/10.1145/2522848.531750.

  • Krishnamoorthy, S. P., & Kapila, V. (2016). Using a visual programming environment and custom robots to learn c programming and K-12 stem concepts. In Proceedings of the 6th Annual Conference on Creativity and Fabrication in Education (pp. 41–48). Stanford, CA: ACM. https://doi.org/10.1145/3003397.3003403.

  • Lau, K. W., Tan, H. K., Erwin, B. T., & Petrovic, P. (1999). Creative learning in school with LEGO(R) programmable robotics products. In 29th Annual Frontiers in Education Conference, FIE’99 (vol. 2, p. 12D4–26). IEEE. https://doi.org/10.1109/FIE.1999.841676.

  • Li, R. Y. M. (2018). An economic analysis on automated construction safety internet of things, artificial intelligence and 3D printing. Springer.

    Google Scholar 

  • Li, R. Y. M., & Ng, D. P. L. (2018). Wearable robotics, industrial robots and construction worker’s safety and health. In Advances in Intelligent Systems and Computing (pp. 31–36).

    Google Scholar 

  • Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160, 92–106.https://doi.org/10.1016/j.jecp.2017.03.013.

  • McGrath, E., Lowes, S., Lin, P., Sayres, J., Hotaling, L., & Stolkin, R. (2008). Build IT: Building middle and high school students’ understanding of engineering, science and IT through underwater robotics. In Proceedings of 2008 Annual Conference & Exposition, Pittsburgh, Pennsylvania. https://www.peer.asee.org/3495.

  • McKay, M. M., Lowes, S., Tirhali, D., & Camins, A. H. (2015). Student learning of STEM concepts using a challenge-based robotics curriculum. In Proceedings of 2015 ASEE Annual Conference & Exposition, Seattle, Washington. https://doi.org/10.18260/p.24756.

  • Melchior, A., Cohen, F., Cutter, T., Leavitt, T., & Manchester, N. H. (2005). More than robots: An evaluation of the first robotics competition participant and institutional impacts. Brandeis University.

    Google Scholar 

  • Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books Inc.

    Google Scholar 

  • Papert, S. (1993). The children’s machine: Rethinking school in the age of the computer. Basic Books Inc.

    Google Scholar 

  • Peredo, R., Canales, A., Menchaca, A., & Peredo, I. (2011). Intelligent Web-based education system for adaptive learning. Expert Systems with Applications, 38(12), 14690–14702.

    Article  Google Scholar 

  • Pokrivcakova, S. (2019). Preparing teachers for the application of Al-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153.

    Article  Google Scholar 

  • Regona, M., Yigitcanlar, T., Xia, B., & Li, R. Y. M. (2022). Opportunities and adoption challenges of AI in the construction industry: A PRISMA Review. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 45

    Google Scholar 

  • Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence and Education, 26(2), 582–599.

    Article  Google Scholar 

  • Rus, V., D’Mello, S., Hu, X., & Graesser, A. (2013). Recent advances in conver" sectional intelligent tutoring systems. AI Magazine, 34(3), 42–54.

    Article  Google Scholar 

  • Shankar, R., Ploger, D., Nemeth, A., & Hecht, S. A. (2013). Robotics: Enhancing pre-college mathematics learning with real-world examples. In Proceedings of 2013 ASEE Annual Conference & Exposition (pp. 117), Atlanta, Georgia. https://www.peer.asee.org/22435.

  • Sharma, R. C., Kawachi, P., & Bozkurt, A. (2019). The landscape of artificial intelligence in open, online and distance education: Promises and concerns. Asian Journal of Distance Education, 14(2), 1–2.

    Google Scholar 

  • Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.

    Article  Google Scholar 

  • Sutton, H. (2019). Minimise online cheating through proctoring, consequences. Recruiting Retaining Adult Learners, 21(5), 1–5.

    Google Scholar 

  • Timms, M. J. (2016a). Letting artificial intelligence in education out of the box: Educational robots and smart classrooms. International Journal of Artificial Intelligence and Education, 26(2), 701–712.

    Article  Google Scholar 

  • Timms, M. J. (2016b). Letting artificial intelligence in education out of the box: Educational cobots and smart classrooms. International Journal of Artificial Intelligence and Education, 26(2), 701–712.

    Article  Google Scholar 

  • United Nations Education Scientific and Cultural Organization (UNESCO). (2019). How can artificial intelligence enhance education? https://www.en.unesco.org/news/how-can-artificialintelligence-enhance-education.

  • Wartman, S. A., & Combs, C. D. (2018). Medical education must move from the information age to the age of artificial intelligence. Academic Medicine, 93(8), 1107–1109.

    Article  Google Scholar 

  • Williams, K., Kapila, V., & Iskander, M. G. (2011). Enriching K-12 science education using LEGOs. In 2011 ASEE Annual Conference & Exposition (pp. 22–630).

    Google Scholar 

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Acknowledgments

This work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. UGC/IIDS15/E01/19).

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Correspondence to Rita Yi Man Li .

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Mou, X., Li, R.Y.M. (2022). The Impact of Artificial Intelligence Educational Robots in the Field of Education: a PRISMA Review. In: Li, R.Y.M., Chau, K.W., Ho, D.C.W. (eds) Current State of Art in Artificial Intelligence and Ubiquitous Cities. Springer, Singapore. https://doi.org/10.1007/978-981-19-0737-1_4

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  • DOI: https://doi.org/10.1007/978-981-19-0737-1_4

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