Work

A Study of Generative Artificial Intelligence on Mobile Learning Adoption Based on SEM Models

Year: 2024

Type: article

Abstract: With the rapid development of information technology, the application of generative artificial intelligence (GAI) in the field of education is becoming more and more extensive, especially on contemporary college students’ mobile learning, which has a profound impact. However, the attitudes of contemporary college students towards using GAI for mobile learning are characterized by complexity and diversity, so it is necessary to explore the factors affecting college students’ willingness to use GAI. In view of this, this paper conducted a questionnaire survey with 1028 college students in China and adopted the structural equation modeling (SEM) model to identify and analyze the factors affecting college students’ behavior of using GAI for mobile learning. The results show that performance expectation, effort expectation, social influence, convenience conditions, and perceived fun of GAI significantly affect college students’ willingness to use GAI, while perceived risk and perceived learning resources have no significant direct influence effect on willingness to use. Based on the empirical results, future strategies for the advancement of GAI education are proposed to further optimize the application of GAI in m-learning.

Source: International Journal of Interactive Mobile Technologies (iJIM)

DOI: 10.3991/ijim.v18i22.52343

Authors: Shiyuan Zhou, Yichao Si, Jing Li, Otilia Manta, Gabriel Xiao-Guang Yue

Institutions: Henan University, Wuhan Business University, Romanian-American University, Romanian Academy, European University Cyprus

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $280