Human-cantered Artificial intelligence in Education, Present and future opportunities

• Published in: 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023
• Main Author: Mittal A.; Ramachandran K.K.; Lakshmi K.K.; Hasbullah N.N.; Ravichand M.; Lourens M.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178308843&doi=10.1109%2fICACITE57410.2023.10182647&partnerID=40&md5=0db2b4259fcb706767459fca6f2f6364

Artificial intelligence (AI), which was once only a pipe dream, is now a reality, permeating every facet of our life - including education - and becoming a regular part of our daily existence. Although it is still a young field, as time goes on, we shall see how AI develops and discover its unrealized potential. In light of the foregoing, this chapter explores the most recent developments in AI and its potential applications in a variety of fields, including Natural language, computer vision, and supervised learning. To achieve this, networking websites analysis (SNA) is used as a basis for the comprehension of the most central themes in Academic research from the perspective of education. Three main topics arose from the investigation: (1) individualized training, learning styles, and adaptive learning; (2) advanced tutoring systems and adviser systems; and (3) Intelligence as a possible improvement to educational institutions, practices in the future. Benefits of e - learning (LMS) offer the best alternative for supplying teaching programs in higher education by giving students from all across the world top-notch resources. As a bridge, student-teacher learning management programmes are utilized. This paradigm is altered by intelligent agents who emulate the clever strategies employed by the teacher and the pupils. Ai - powered technologies are constructed on the duplication of principles that are necessary for human understanding. This analysis includes the analysis of the Modules that utilize AI methods. The emphasis also includes more instances of the huge variation. Learning administration system techniques related to AI have been researched to help students, faculty and staff, and administrations and to overcome some LMS issues. © 2023 IEEE.