The impact of artificial intelligence on education among public universities students during COVID-19 pandemic

Sures, Mohniesha (2023) The impact of artificial intelligence on education among public universities students during COVID-19 pandemic. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Today, many students use AI in education for academic purposes. As a result, traditional education has been forgotten owing to the presence of AI, which might result in a worldwide educational system shift. Meanwhile, this study is to examine the factors that affecting public universities students’ intention to use AI on education. The purpose of this quantitative study was to use Technology Acceptance Model (TAM) and Technology Readiness (TR) as a proposed framework to examine the factors that could affecting public universities students’ intention to use AI on education in enhancing student’s life. There are four factors such as perceived ease of use, perceived usefulness, perceived innovativeness and perceived optimism in associated with public universities student’s intention to use AI on education. A quantitative research design was chosen to investigate the research problem and associated questions. The total population for this study was 584576 public students as the research location was chosen at Malaysia and target respondent are especially students which from public universities. Besides that, the researcher used the minimum sample size for SEM and the minimum of 120 respondent was selected for this study. While for the data collection and analysis, the researcher will be using SmartPLS and SPSS to analyse. According to the conclusions of this study, there is a significant relationship between perceived innovativeness and perceived optimism with the public universities students’ intention to use AI on education. For future reference, this study is thought to be useful for the students and education sector.

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