International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Dr.Neha Chouhan, Dr. Sonam Shilpi

DOI: https://doi.org/10.46647/ijetms.2023.v07i01.063

ABSTRACT
Artificial Intelligence is a booming technological domain capable of altering every aspect of our social interactions. The ways that teaching and learning are conducted are impacted by the advent of new technologies. The use of artificial intelligence (AI) in education is becoming more and more obvious as a result of the technology's recent rapid progress. The first section of this paper discusses the use of AI in education, including virtual classrooms, adaptive learning, and educational assessment. And then examines its effect on education, which is beneficial for raising the standard of instruction provided by teachers and the quality of education received by students. Lastly, it outlines the potential difficulties that AI applications in education may encounter going forward and offers resources for AI to support educational change.

Page No: 449 - 456

References:

• Pannu, A. (2015). Artificial Intelligence and its Application in Different Areas. International Journal of Engineering and Innovative Technology, 4(10), 79–84.
• Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science
• Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. Policies for the future. EUR - Scientific and Technical Research Reports
• Wang, Y. (2020). An improved machine learning and artificial intelligence algorithm for classroom management of English distance education. Journal of Intelligent & Fuzzy Systems, 1–12.
• Chiu, T. K. F. (2021). A holistic approach to Artificial Intelligence (AI) curriculum for K12 schools. TechTrends, 65, 796–807
• Williamson, B. (2018). The hidden architecture of higher education: building a big data infrastructure for the ‘smarter university.’ International Journal of Educational Technology in Higher Education.
• Van Der Vorst, T., & Jelicic, N. (2019). Artificial Intelligence in Education Can AI bring the full potential of personalized learning to education?
• Goel, A. K., & Polepeddi, L. (2016). Jill Watson: A Virtual Teaching Assistant for Online Education. Georgia Tech Library
• Grams, D. (2018). A Quantitative Study of the Use of “DreamBox Learning” and Its Effectiveness in Improving Math Achievement of Elementary Students with Math Difficulties. ProQuest LLC.
• Tripathy, S., & Devarapalli, S. (2020). Emerging trend set by a start-ups on Indian online education system: A case of Byju’s. Journal of Public Affairs.
• Russo-Spena, T., Mele, C., & Marzullo, M. (2019). Practising Value Innovation through Artificial Intelligence: The IBM Watson Case. Journal of Creating Value.
• Rahim, T. N. T. A., Aziz, Z. A., Rauf, R. H. A., & Shamsudin, N. (2018). Automated exam question generator using genetic algorithm. 2017 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2017
• Grau, A., Indri, M., Lo Bello, L., & Sauter, T. (2017). Industrial robotics in factory automation: From the early stage to the Internet of Things. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.
• Catlin, D., & Blamires, M. (2019). Designing Robots for Special Needs Education. Technology, Knowledge and Learning.
• Miller, D. P., Nourbakhsh, I. R., & Siegwart, R. (2008). Robots for Education. Springer Handbook of Robotics
• Yang, J., & Zhang, B. (2019). Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines. Applied Sciences, 9(10), 2078.
• Chiba, Y., Nose, T., Kase, T., Yamanaka, M., & Ito, A. (2019). An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System
• Paglen, T. (2019). Invisible Images: Your Pictures Are Looking at You. Architectural Design
• Sarma, G. P., & Hay, N. J. (2017). Robust Computer Algebra, Theorem Proving, and Oracle AI. SSRN Electronic Journal
• 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. De Gruyter Open Ltd
• Yufei, L., Saleh, S., Jiahui, H., & Abdullah, S. M. S. (2020). Review of the application of artificial intelligence in education. International Journal of Innovation, Creativity and Change, 12(8), 548–562.
• Quer, G., Muse, E. D., Nikzad, N., Topol, E. J., & Steinhubl, S. R. (2017). Augmenting diagnostic vision with AI. Lancet (London, England).
• Kong, S. H., Lv, Y., Vu, H. L., Cano, J. C., Choi, J. W., Kum, D., & Morris, B. T. (2019). Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies. IEEE Transactions on Intelligent Transportation Systems.
• Kakish, K., & Pollacia, L. (2018). Adaptive learning to improve student success and instructor efficiency in introductory computing course. Proceedings of the 34th Information Systems Education Conference, ISECON 2018.

 



How to Cite This Article:
Dr.Neha Chouhan, Dr. Sonam Shilpi . A Study on Artificial Intelligence in Education . ijetms;7(1):449-456. DOI: 10.46647/ijetms.2023.v07i01.063