Understanding What Drives Gen Y Users in Chengdu, China to Study English via Mobile Apps
รหัสดีโอไอ
Creator Zhenzhen Wang
Title Understanding What Drives Gen Y Users in Chengdu, China to Study English via Mobile Apps
Publisher Assumption University Press
Publication Year 2568
Journal Title AU-GSB e-Journal
Journal Vol. 18
Journal No. 2
Page no. 164-173
Keyword System Quality, Information Quality, Service Quality, Technical Characteristics, Task Characteristics
URL Website https://assumptionjournal.au.edu/index.php/AU-GSB/article/view/8153
Website title https://assumptionjournal.au.edu/index.php/AU-GSB
ISSN 1906-3296
Abstract Purpose: The study aims to examine how Gen Y users in Chengdu, China, are influenced in their intentions regarding English learning behavior by utilizing popular English word learning applications in China. The conceptual framework contains system quality, information quality, service quality, perceived usefulness, attitude, technology characteristics, task-technology fit, and behavior intention. Research design, data, and methodology: The research employs quantitative and nonprobability sampling techniques, including quota and convenience sampling. Data from 500 Chengdu residents using China's top three English word-learning applications were collected via a network self-administered questionnaire. Confirmatory factor analysis and structural equation modeling were used as statistical tools to analyze data accuracy and the impact of key variables. Results Findings indicate that behavioral intention strongly influences the attitude toward using mobile applications for English word learning. System quality, information quality, service quality, attitude, technology characteristics, task characteristics, and personal perception significantly affect the behavioral intention to use these applications. However, technology characteristics has no significant impact on task-technology fit. Conclusions: The alignment of learning content and technology is crucial in the diverse landscape of English learning apps, and determines users' experiences and satisfaction.
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