The integration of artificial intelligence in education: opportunities and challenges

Authors

DOI:

https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15

Keywords:

Artificial Intelligence, Education, Inclusivity, Automation, Teaching Enhancement

Abstract

Objective: To explore the current and potential role of Artificial Intelligence (AI) in the educational sector, addressing its benefits and potential challenges.

Method: A comprehensive review of the existing literature and applications of AI in various fields, with a specific focus on its implications for education.

Results: AI has seamlessly integrated into various aspects of our daily lives, from automated systems in vehicles to personalized online advertisements. In the realm of education, AI promises to enhance the teaching and learning experience. It aims to supplement, not replace, educators by making the learning process more engaging and efficient. AI systems can provide feedback on student performance, highlighting areas of improvement, and ensuring inclusivity for students with special needs or language barriers. Additionally, AI can automate many administrative tasks, allowing educators more time for lesson planning and instructional improvement.

Conclusions: While AI presents numerous advantages for the educational sector, its integration should be approached with caution. Both educators and students need preparation for this technological shift to maximize its benefits and mitigate potential challenges.

Implications: The onus is on governments, educational institutions, and related organizations to facilitate the smooth integration of AI in education. Proper training and awareness are essential to ensure that AI is utilized responsibly and effectively in educational settings.

Author Biography

Rania Lampou, Greek Ministry of Education & Religious Affairs

Rania Lampou is a Global Educator, STEM instructor, ICT teacher trainer, and international inspirational keynote speaker in Greece. She has a post-graduate degree (M.Ed.) in language teaching related to cognitive neurosciences and she is also a passionate researcher on cognitive neurosciences and neuroeducation. She is a PhD candidate in environmental and peace education at the Noble International University of Canada. Currently, she is a STEM instructor at the Greek Astronomy and Space Company (Annex of Salamis) and she is also working at the Greek Ministry of Education, at the Directorate of Educational Technology and Innovation where she writes STE(A)M projects for Greek schools. She has been awarded many national and international prizes (over 100) and she is a “Global Teacher Award 2020” (AKS Awards) winner and a “Global Teacher Prize finalist 2019” (Varkey Foundation). Recently she has been selected as “Global Icon 2020” featured in “Passion Vista” Magazine, among the top 10 women entrepreneurs featured in “Fortune” and among the “100 most successful women in business” featured in an Amazon book by “Global Trade Chamber ”. She promotes STEM vision by introducing STEM in astronomy and physics projects and combines STEM with Language Teaching. She is the founder and international coordinator of many innovative international projects that focus on the United Nations’ Sustainable Development Goals described in the 2030 Agenda. She is also an author of scientific books for kids.

References

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Burgess, M. (2021). Artificial Intelligence: How Machine Learning Will Shape the Next Decade (WIRED Guides). Random House.

Cameron, R. (2019). A.I. - 101: A Primer on Using Artificial Intelligence in Education. Exceedly Press.

Churi, P., Joshi, S., Elhoseny, M., & Omrane, A. (2022). Artificial Intelligence in Higher Education, A Practical Approach. CRC Press. DOI: https://doi.org/10.1201/9781003184157

Fadel, C., Holmes, W., & Bialik, M. (2019). Artificial Intelligence In Education: Promises and Implications for Teaching and Learning. The Center for Curriculum Redesign.

Mitchell, M. (2019). Artificial Intelligence: A Guide for Thinking Humans. Pelican Books.

Jones, H. (2020). Machine Learning, An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More (Audible Version).

Pickover, C.-A. (2019). Artificial Intelligence. Sterling Publishing Co., Inc.

UNESCO. (2019). Artificial intelligence in education. Retrieved from https://en.unesco.org/artificial-intelligence/education DOI: https://doi.org/10.18356/d94175df-en

Zimmerman, M. (2018). Teaching AI: Exploring New Frontiers for Learning. International Society for Technology in Education.

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Published

2023-08-18

How to Cite

Lampou, R. (2023). The integration of artificial intelligence in education: opportunities and challenges. Review of Artificial Intelligence in Education, 4, e15. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15

Issue

Section

Perspectives (ARTIFICIAL INTELLIGENCE)