Understanding the factors that influence UTeM student’s toward satisfaction of artificial intelligence (AI) in e-learning

Muhamad Azhar, Muhamad Nazrin Hakim (2024) Understanding the factors that influence UTeM student’s toward satisfaction of artificial intelligence (AI) in e-learning. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The use of artificial intelligence (AI) in education is growing to improve teaching methods and cater to students' educational needs. Adaptive learning is a teaching strategy that makes use of algorithms and learning AI systems to improve interactions, personalize online learning environments, and meet the specific needs of students. Artificial intelligence (AI) technology can effortlessly support and enhance the learning process by imitating human intelligence through deep learning and natural language processing. The goal of this study is to know the factors that influence UTeM students toward satisfaction of AI in e-learning and identify the most significant factors that influence UTeM students. The study takes an exploratory approach and collects information from numbers of students from UTeM using quantitative methodologies. The study will approach the students that had experienced artificial intelligence and gather their opinions about what factor influences them to use artificial intelligence in e-learning using questionnaire method. A five-point Likert scale questionnaire will be used in acquiring the respondent’s information. The research will draw attention to the most reasons that influence them to use artificial intelligence, including AI literacy, Confidence in AI, Behavioral intention to learn AI, AI for social good, Benefit of AI and Student’s acceptance toward AI. The study also reveals the role of artificial intelligence in e-learning. A number of students from University Teknikal Malaysia Melaka (UTeM) will be utilized in a quantitative study to gather data. Lastly, the researcher will conclude that the benefit of artificial intelligence in e-learning is an important component in e-learning.

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