A Research on University Students’ Behavioral Intention to Use New-generation Information Technology in Intelligent Foreign Language Learning

Abstract

A better understanding of how advancement in science and technology affect students’ learning behavior in an academic setting can help all educators in higher education. With the advancement of science and technology, the new-generation information technology represented by “Cloud Computing, Big Data, Internet of Things, Mobile Network, and Artificial Intelligence” has been profoundly changing the form of education, accelerating the transformation from Teaching 1.0 to Learning 2.0. To investigate the factors influencing university students using a new-generation information technology in intelligent foreign language learning, this study proposed a research model based on Technology Acceptance Model. The sample data were collected from a survey of 237 students at a university. The analysis of structural equation modeling indicated that perceived usefulness, perceived ease of use, construction of foreign language intelligence classroom, and computer self-efficacy all have a positive impact on learners’ behavioral intention. These findings suggest that more emphasis should be laid on students’ learning characteristics, advantages of a new generation of technology, as well as teachers’ intelligent literacy, to further promote the deep integration of the new-generation information technology and intelligent foreign language learning, improving the learning effectiveness ultimately and effectively.