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AI-powered learning application use and gratification: an integrative model

Younghoon Chang (School of Management and Economics, Beijing Institute of Technology, Beijing, China)
Seongyong Lee (Department of English Education, Hannam University, Daejeon, Republic of Korea)
Siew Fan Wong (Department of Computing and Information Systems, Sunway University, Subang Jaya, Malaysia)
Seon-phil Jeong (Division of Science and Technology, BNU-HKBU United International College, Zhuhai, China)

Information Technology & People

ISSN: 0959-3845

Article publication date: 26 October 2021

Issue publication date: 7 December 2022

2135

Abstract

Purpose

As the center of the fourth industrial revolution, artificial intelligence (AI) has marked its presence in various disciplines including the education field in the form of AI-powered learning applications. The purpose of this study is to build a research model capturing the relationships among use contexts, user gratification, attitude, learning performance and continuous intention to use an AI-powered English learning application.

Design/methodology/approach

Using the use and gratification theory, use contexts and the belief-attitude-intention theory, this paper uses a quantitative approach based on a survey method for data collection and structural equation modeling for analysis. A total of 478 students from an international university in Guangdong, China, participated in the survey after using Liulishuo for two weeks.

Findings

The results showed that perceived use contexts affected all variables associated with gratifications-obtained and gratification-opportunities. With the exception of social integrativeness, all other gratification-based factors significantly affected attitude. The attitude in turn significantly influenced learning performance and continuous use intention.

Originality/value

Mobile AI-powered learning applications are at the center of research on technology-enhanced learning in the age of media and technology convergence. The study is timely and contributes to the discussion of the roles of use context and gratifications on technology users’ attitudes and behavioral intentions.

Keywords

Acknowledgements

This work was supported by Foreign High-Talent Subsidy Program—Beijing Municipal Government (Grant No: J202114) and the National Natural Science Foundation of China (Grant No: 72172013, 72110107003).

Citation

Chang, Y., Lee, S., Wong, S.F. and Jeong, S.-p. (2022), "AI-powered learning application use and gratification: an integrative model", Information Technology & People, Vol. 35 No. 7, pp. 2115-2139. https://doi.org/10.1108/ITP-09-2020-0632

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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