The Rise of Artificial Intelligence in Education: Current Trends and Future Prospects

Somnath Das
Department of Education, CDOE, The University of Burdwan, West Bengal, India

Saeed Anowar
M.Ed. Student, Ramakrishna Mission Sikshanamandira, an autonomous college (under the University of Calcutta) Belur math, Howrah, West Bengal, India

Biswarup Ghosh
Adjunct Assistant Professor, Department of Biology, Temple University, Philadelphia, USA

DOI: https://doi.org/10.52756/lbsopf.2024.e01.006

Keywords: Artificial Intelligence, Educational Technology, Future Prospects, New Trends

Abstract:
Educational Excellence Elevated: Embrace AI for Tomorrow’s Teaching Today!… underscores the importance of harnessing AI to enhance educational quality, stimulate innovation, and equip educators for future teaching advancements. The recent integration of AI in education has attracted significant attention due to its potential to transform traditional teaching and learning methods. This study explores the expanding role of AI in education, offering insights into the current trends and potential future outcomes. It examines how AI technologies are reshaping traditional teaching methods, providing personalized learning experiences, intelligent tutoring systems, automated grading, adaptive assessments, and more. The study analyzes the current state of AI integration in educational environments, identifying key trends and applications that enhance teaching and learning. It investigates the potential benefits and challenges of AI adoption in education and considers future possibilities for AI in shaping the educational landscape. Through a comprehensive literature review, the study synthesizes findings from scholarly articles, reports, and academic journals. It includes insights from expert interviews and case studies to provide a well-rounded view of the topic. Findings show that AI technologies like machine learning algorithms, natural language processing, and intelligent tutoring systems are increasingly being used to personalize learning experiences, automate administrative tasks, and offer real-time feedback to students. Despite AI’s potential to improve educational outcomes, challenges such as data privacy, equity, and ethical considerations must be addressed for responsible implementation.

References:

• Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2, 431–440. https://doi.org/10.1007/s43681-021-00096-7.
• Alam, M., & Hasan, M.. (2024). Applications and Future Prospects of Artificial Intelligence in Education. International Journal of Humanities & social Science studies (IJHSSS),10, 197-206. 10.29032/ijhsss.v10.i1.2024.197-206.
• Boden, M.A. (2018). Artificial intelligence: A very short introduction. Oxford. ISBN: 978-0199602919.
• Brown, J. A., & Smith, K. M. (2023). AI in education: Enhancing learning experiences and opportunities. Journal of Educational Technology, 25(2), 145-157.
• Bryant, J., Heitz,C., Sanghvi, S., & Wagle, D. (2020, January 14). How artificial intelligence will impact K-12 teachers. McKinsey. https://www.mckinsey.com/industries/education/our-insights/how-artificial intelligence-will-impact-k-12-teachers.
• CoSN. (2020). Artificial Intelligence in K–12 Education: Benefits, Challenges, and Considerations. Consortium for School Networking.
• De, M., Pahari, G., & Das, R. (2019). Creating Urban Green Spaces (UGS) in Educational Institutions: A pilot project in Gurudas College, Kolkata-700054, West Bengal, India Int. J. Exp. Res. Rev., 19, 22-30. https://doi.org/10.52756/ijerr.2019.v19.003
• Greenfield, L. T., & Patel, R. (2023). Automated assessments and the future of personalized feedback. Journal of Education and AI, 13(4), 201-212.
• Hernandez, P. J., & Jones, M. T. (2023). Bridging the global divide: AI and language translation in education. Global Education Review, 17(1), 33-45.
• Holstein, K., & McLaren, B. M. (2021). Artificial intelligence in higher education: Current uses and future applications. EDUCAUSE Review.
• Journal of Educational Computing Research, “The Impact of AI-Driven Monitoring on Student Outcomes,” accessed April 2024.
• Ke, Z., & Ng, V. (2019). Automated essay scoring: A survey of the state of the art. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, pp. 6300–6308. https://doi.org/10.24963/ijcai.2019/879.
• Khosravi, H., Shum, S.B., Chen, G, Conati, C., Tsai,Y-S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., Gašević, D. (2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, https://doi.org/10.1016/j.caeai.2022.100074.
• Li, C., & Zhou, M. (2020). Artificial Intelligence in Education: Needs, Challenges, and Opportunities. Journal of Educational Technology & Society, 23(2), 154–163.
• Malhotra, S., Anil, K., & Kaur, A. (2023). Impact of Social Entrepreneurship on Digital Technology and Students’ Skill Set in Higher Education Institutions: A Structured Equation Model. Int. J. Exp. Res. Rev., 35, 54-61. https://doi.org/10.52756/ijerr.2023.v35spl.006
• Mittal, P., & Jora, R. (2023). Exploring student community engagement in higher education: A bibliometric analysis on the path to sustainable development. Int. J. Exp. Res. Rev., 32, 166-177. https://doi.org/10.52756/ijerr.2023.v32.014
• Nelson, S. R., & Wang, Y. (2023). Lifelong learning and reskilling: AI’s role in adult education. Journal of Continuing Education, 42(3), 78-90.
• O’Connell, D. M., & Roberts, E. L. (2023). Teacher training and AI integration: Challenges and opportunities. Educational Research Quarterly, 39(2), 162-175.
• Ruiz, P. & Fusco, J. (2022). Teachers partnering with artificial intelligence: Augmentation and automation. Digital Promise. https://digitalpromise.org/2022/07/06/teachers-partnering-with-artificial-intelligence-augmentation-and-automation/
• Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Viking. ISBN 978-0-525-55861-3.
• Srivastava, G., Maity, A., & Srivastava, M. (2016). Spatial Analysis of Female Literacy in Religious Minorities of Uttar Pradesh, India. Int. J. Exp. Res. Rev., 8, 39-45. Retrieved from https://qtanalytics.in/journals/index.php/IJERR/article/view/1310
• Thompson, J. L., & Martinez, A. S. (2023). Ethical frameworks for AI in education: An analysis of regulatory needs. Journal of Educational Policy, 55(4), 431-445.
• Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.
• Zhai, X., He, P., Krajcik, J. (2022). Applying machine learning to automatically assess scientific models. Journal of Research in Science Teaching. https://doi.org/10.1002/tea.21773.

How to Cite
Somnath Das, Saeed Anowar and Biswarup Ghosh (2024). The Rise of Artificial Intelligence in Education: Current Trends and Future Prospects. © International Academic Publishing House (IAPH), Dr. Somnath Das, Dr. Ashis Kumar Panigrahi, Dr. Rose Stiffin and Dr. Jayata Kumar Das (eds.), Life as Basic Science: An Overview and Prospects for the Future Volume: 1, pp. 57-67. ISBN: 978-81-969828-9-8 doi: https://doi.org/10.52756/lbsopf.2024.e01.006

SHARE WITH EVERYONE