The Double-Edged Sword of Artificial Intelligence (AI) in Education Maximizing benefits while mitigating risks
Main Article Content
Abstract
Objective: The purpose of this paper is to conduct a thorough review and investigation on the function and importance of AI in education. The development of technology in the sector, and the emergence of raising interest to apply this AI technologies with a view to enable disruptive efficiencies across all aspects of education.
Methodology: The study uses a systematic review of literature for exploring the existing literatures and research findings about AI implementation in Education. For learning it tells you good & bad about AI of bunchy resources, And changes because of the whether educational practices.
Results: The results suggest that AI can greatly improve the personalization of learning, being able to provide tailored activities beyond traditional strategies. But the review also highlights worries over inequalities that may arise if only a specialist few can call upon top-notch AI tools possibly deepening of the achievement gap. Furthermore, a sanguine reliance on automated solutions could compromise the core human element in education and stymie social-emotional development for our students.
Originality/value: Given the tendency for increased transparency, accountability and potential bias of AI systems in this critical domain leading to possible discrimination practices (e.g. admissions, grading etc) it is felt that the paper has great value contribution. There needs to be a spirit among policymakers, educators and developers working together to ensure that AI in education is implemented following certain principles.
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References
Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 140527. DOI: https://doi.org/10.1016/j.jclepro.2023.140527
Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261-271. DOI: https://doi.org/10.30574/gscarr.2024.18.2.0062
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983. DOI: https://doi.org/10.3390/su151712983
Bedolla, A. (2024). Technology-Based Music Instruction.
Bozkurt, A., Junhong, X., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., ... & Romero-Hall, E. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53-130.
Bulathwela, S., Pérez-Ortiz, M., Holloway, C., Cukurova, M., & Shawe-Taylor, J. (2024). Artificial intelligence alone will not democratise education: On educational inequality, techno-solutionism and inclusive tools. Sustainability, 16(2), 781. DOI: https://doi.org/10.3390/su16020781
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278. DOI: https://doi.org/10.1109/ACCESS.2020.2988510
Chisom, O. N., Unachukwu, C. C., & Osawaru, B. (2023). Review of AI in education: transforming learning environments in Africa. International Journal of Applied Research in Social Sciences, 5(10), 637-654. DOI: https://doi.org/10.51594/ijarss.v5i10.725
Colchester, K., Hagras, H., Alghazzawi, D., & Aldabbagh, G. (2017). A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms. Journal of Artificial Intelligence and Soft Computing Research, 7(1), 47-64. DOI: https://doi.org/10.1515/jaiscr-2017-0004
Dutta, S., Ranjan, S., Mishra, S., Sharma, V., Hewage, P., & Iwendi, C. (2024, February). Enhancing Educational Adaptability: A Review and Analysis of AI-Driven Adaptive Learning Platforms. In 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/ICIPTM59628.2024.10563448
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Ellikkal, A., & Rajamohan, S. (2024). AI-enabled personalized learning: empowering management students for improving engagement and academic performance. Vilakshan-XIMB Journal of Management. DOI: https://doi.org/10.1108/XJM-02-2024-0023
Faresta, R. A. (2024). AI-Powered Education: Exploring the Potential of Personalised Learning for Students' Needs in Indonesia Education. Path of Science, 10(5), 3012-3022. DOI: https://doi.org/10.22178/pos.104-19
Farley, I. A., & Burbules, N. C. (2022). Online education viewed through an equity lens: Promoting engagement and success for all learners. Review of Education, 10(3), e3367. DOI: https://doi.org/10.1002/rev3.3367
Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56-63. DOI: https://doi.org/10.31004/riggs.v2i2.268
Francis, M. F. (2018). Digital storytelling with project-based learning: Engaging high school males in space science to improve academic achievement (Doctoral dissertation, Northcentral University).
Holmes, W., Persson, J., Chounta, I. A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and education: A critical view through the lens of human rights, democracy and the rule of law. Council of Europe. DOI: https://doi.org/10.1007/978-3-031-36336-8_12
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system. Bench Council Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. DOI: https://doi.org/10.1016/j.tbench.2023.100115
Joksimovic, A., & Pearson, R. (2024). AI as Custodian of Space-Faring Humanity: Insights from Science Fiction. In AIAA SCITECH 2024 Forum (p. 0407). DOI: https://doi.org/10.2514/6.2024-0407
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 12451. DOI: https://doi.org/10.3390/su151612451
Kem, D. (2022). Personalised and adaptive learning: Emerging learning platforms in the era of digital and smart learning. International Journal of Social Science and Human Research, 5(2), 385-391. DOI: https://doi.org/10.47191/ijsshr/v5-i2-02
Krupiy, T. T. (2020). A vulnerability analysis: Theorising the impact of artificial intelligence decision-making processes on individuals, society and human diversity from a social justice perspective. Computer law & security review, 38, 105429. DOI: https://doi.org/10.1016/j.clsr.2020.105429
Madaio, M., Blodgett, S. L., Mayfield, E., & Dixon-Román, E. (2022). Beyond “fairness”: Structural (in) justice lenses on ai for education. In The ethics of artificial intelligence in education (pp. 203-239). Routledge. DOI: https://doi.org/10.4324/9780429329067-11
Maghsudi, S., Lan, A., Xu, J., & van Der Schaar, M. (2021). Personalized education in the artificial intelligence era: what to expect next. IEEE Signal Processing Magazine, 38(3), 37-50. DOI: https://doi.org/10.1109/MSP.2021.3055032
Massaro, T. M., Norton, H., & Kaminski, M. E. (2016). SIRI-OUSLY 2.0: what artificial intelligence reveals about the first amendment. Minn. L. Rev., 101, 2481.
Mohammed, P. S., & ‘Nell’Watson, E. (2019). Towards inclusive education in the age of artificial intelligence: Perspectives, challenges, and opportunities. Artificial Intelligence and Inclusive Education: Speculative futures and emerging practices, 17-37. DOI: https://doi.org/10.1007/978-981-13-8161-4_2
Mukherjee, D. V. (2023). At the edge of tomorrow: unleashing human potential in the AI Era. Notion Press.
Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE access, 10, 81323-81342. DOI: https://doi.org/10.1109/ACCESS.2022.3193938
Nagaty, K. A. (2023). Iot commercial and industrial applications and AI-powered IoT. In Frontiers of Quality Electronic Design (QED) AI, IoT and Hardware Security (pp. 465-500). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-031-16344-9_12
Nazaretsky, T., Ariely, M., Cukurova, M., & Alexandron, G. (2022). Teachers' trust in AI‐powered educational technology and a professional development program to improve it. British journal of educational technology, 53(4), 914-931. DOI: https://doi.org/10.1111/bjet.13232
Papa, R., & Jackson, K. M. (Eds.). (2021). Artificial Intelligence, Human Agency and the Educational Leader. Springer Nature. DOI: https://doi.org/10.1007/978-3-030-77610-7
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.
Pesovski, I., Santos, R., Henriques, R., & Trajkovik, V. (2024). Generative ai for customizable learning experiences. Sustainability, 16(7), 3034. DOI: https://doi.org/10.3390/su16073034
Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing education: harnessing the power of artificial intelligence for personalized learning. Klasikal: Journal of education, language teaching and science, 5(2), 350-357. DOI: https://doi.org/10.52208/klasikal.v5i2.877
Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating artificial intelligence (AI) for personalized and adaptive learning. Available at SSRN 4638365. DOI: https://doi.org/10.2139/ssrn.4638365
Rickabaugh, J. (2016). Tapping the power of personalized learning: A roadmap for school leaders. Ascd.
Rivers, C., & Holland, A. (2022). Management education and artificial intelligence: Toward personalized learning. In The future of management education (pp. 184-204). Routledge. DOI: https://doi.org/10.4324/9781003095903-14
Shah, P. (2023). AI and the Future of Education: Teaching in the Age of Artificial Intelligence. John Wiley & Sons.
Simons, J. (2023). Algorithms for the People: Democracy in the Age of AI. DOI: https://doi.org/10.1353/book.109841
Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the Power of AI to Education. In Learning, teaching, and assessment methods for contemporary learners: pedagogy for the digital generation (pp. 311-342). Singapore: Springer Nature Singapore. DOI: https://doi.org/10.1007/978-981-19-6734-4_13
Vargas, N. (2023). Secondary ELA Teacher Perceptions of the Use of Artificial Intelligence as an Instructional Tool. Lamar University-Beaumont.
Wu, M. (2022). Intelligent warfare: Prospects of military development in the age of AI. Taylor & Francis. DOI: https://doi.org/10.4324/b22974
Yiyao, Z., Nasir, N. S. M., Jiaxin, G., Yingying, X., & Renjie, Z. (2023). OVERVIEW OF TEACHING AND MANAGEMENT MODELS FOR THE UNIVERSITY COURSE'COMPUTER-AIDED DESIGN'IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE IN PRODUCT DESIGN EDUCATION. Jurnal Kesidang, 8(1), 355-370.
Yu, P. K. (2020). The algorithmic divide and equality in the age of artificial intelligence. Fla. L. Rev., 72, 331.
Yugandhar, K., & Rao, Y. R. (2024). Artificial Intelligence in Classroom Management: Improving Instructional Quality of English Class with AI Tools. Educational Administration: Theory and Practice, 30(4), 2666-2672.
Zimmerman, M. (2018). Teaching AI: Exploring new frontiers for learning. International society for technology in education.