학술논문

Role of Artifical Intelligence in Education Sector
Document Type
Conference
Source
2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC) Humanitarian Technology Conference (KHI-HTC), 2024 IEEE 1st Karachi Section. :1-9 Jan, 2024
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Computers
Technological innovation
Bibliographies
Education
Humanoid robots
Learning (artificial intelligence)
Chatbots
AI
educational system
machine learning
chatGPT
Language
Abstract
The primary goal of the study is to determine how artificial intelligence has affected the tutoring industry. The effects and applications of artificial intelligence in teaching, learning, and administration contributed to the possibility of learning in part. Research methods that were qualitative in nature, such as using a literature review as an exploratory design, were applied, and they successfully improved understanding of study persistence. Artificial Intelligence (AI) is the study of successful inventions and advances that have been accumulated in computers, machines, and other artifacts with human intelligence that are grouped according to intellectual capacity, learning, and adaptability. According to the study, artificial intelligence has been widely used and implemented in the field of education, mostly by institutions or the educational sector in a variety of ways. Artificial intelligence primarily was used in computer-based technologies, transition to smart network-based platforms and smart education schemes which use embedded or entrenched workstations organized with other innovative technologies, and the application of chatbots and humanoid robots to perform instruction tasks to the learner or with instructor independently. Instructors may perform administration-related tasks, such as scoring and reviewing learners’ coursework more efficiently and effectively and accomplish quality high in their instruction activities. On the other hand, because the System leverages adaptability and machine learning, content and curriculum have been personalized according to learners’ needs, which improves the learning experiences of learners and the overall quality of the learning.