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ADOPTION OF GENERATIVE ARTIFICIAL INTELLIGENCE AMONG STUDENTS
TO DIGITAL LEARNING:AN EXTENSION OF THE TECHNOLOGY ACCEPTANCE
MODEL TO A HIGHER EDUCATION

Syyed Sheraz Ali Sherazi* 1

1 Southwestern University of Finance and Economics, Chengdu, China.
(*E-mail: xyedsheraz19@gmail.com)

ABSTRACT
The rapid advancement of artificial intelligence has significantly transformed
educational practices in higher education. Generative AI applications like ChatGPT and
other AI-based learning systems have opened new possibilities to improve digital learning
conditions and facilitation of academic growth of students within the last few years. The
technologies allow individualized learning, enhance access to information, and support
creative teaching and learning activities. Nevertheless, with the increased application of
generative AI in the educational sector, the factors that determine its use by students is a
significant research question. This paper will explore how the digital learning of students
has adopted the use of generative AI by expanding the Technology Acceptance Model
(TAM). The study investigates the effect of factors like perceived usefulness, perceived
ease of use, digital literacy and trust about AI in the behavioral intention of students to
utilise generative AI in higher education. To determine the relationship between these
variables, a quantitative research method is suggested. The results of this research should
offer an insight into how generative AI can be successfully implemented into the higher
education learning setting. Besides, the study is added to the accumulating literature on
the topic of artificial intelligence in education and outlines the significance of the
implementation of novelties in teaching and training in the age of the digital economy.
Keywords: Generative AI; artificial intelligence; higher education; educational
technology; technology acceptance model.

1. Introduction
The swift development of digital technologies has already changed higher education
greatly, in terms of the growth of digital learning space and smart educational systems.
Colleges are depending more on learning platforms through technology to support
teaching and learning and knowledge sharing among students and teachers. Such changes
have transformed the education practice as it has allowed flexible and interactive learning
environments, which facilitate the contemporary academic requirements (Hofer et al.,
2021; Xing et al., 2023). With this changing online context, the emerging technologies are
still shaping the manner in which knowledge is retrieved, processed and produced in
institutions of higher learning.
Artificial intelligence (AI) remains one of the most dominant technologies in modern
educational practices among the other emerging technologies. Intelligent tutoring,
automated feedback, learning environments, and other capabilities that AI- based
systems have can be used to improve learning experiences and academic interaction.
These smart devices enable teachers and students to communicate with learning
materials more effectively, thus enhancing the learning process and acquisition of
knowledge (Al Darayseh, 2023; Ferreira et al., 2021). With the growing digital

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