Factors Impacting Behavioral Intention and Use Behavior of Undergraduate Students to Use English Learning Apps in Kunming, China

Main Article Content

Yibo Wang

Abstract

Purpose: This study investigates the factors influencing the behavioral intention and use behavior of English learning apps among higher education students in Kunming, China. The conceptual framework incorporates variables such as perceived ease of use, perceived usefulness, attitude, perceived behavioral control, social influence, behavioral intention, and use behavior. Research design, data, and methodology: The target population consists of 500 undergraduate students from the top three universities in Kunming, China. The research employed a quantitative approach, utilizing a questionnaire as the primary data collection tool. Sampling techniques included judgmental, stratified random, and convenience sampling. To ensure validity and reliability, a pilot test involving 50 participants was conducted, assessing the item-objective congruence (IOC) index for validity and Cronbach's alpha for reliability. The data collected were analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM) as the main statistical analyses for this study. Results: Perceived ease of use significantly impacts attitude and perceived usefulness. Perceived usefulness significantly impacts attitude. Behavioral intention is significantly impacted by attitude, perceived behavioral control, and social influence. Furthermore, behavioral intention has a significant impact on use behavior. Conclusions: The results are valued to entrepreneurs or developers of English learning apps who are looking for opportunities in mobile education

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How to Cite
Wang, Y. (2024). Factors Impacting Behavioral Intention and Use Behavior of Undergraduate Students to Use English Learning Apps in Kunming, China. AU-GSB E-JOURNAL, 17(3), 30-38. https://doi.org/10.14456/augsbejr.2024.46
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Articles
Author Biography

Yibo Wang

Ph.D. Candidate in Technology, Education and Management, Graduate School of Business and Advanced Technology Management, Assumption University.

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