Browsing by Author "Xiang, Chaochu"
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    Impacting factors of postgraduates' behavioral intention and satisfaction in using online learning in Chengdu University
    (Bangkok : Assumption University Press, 2022) Lan, Wencai ; Xiang, Chaochu ; Yang, Ming
    Purpose: The study aims to investigate impacting factors of behavioral intention and satisfaction of postgraduate students in using online learning based on Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Information Systems Success (ISS). Research design, data and methodology: A quantitative method was applied to distribute questionnaire to 500 students of Chengdu University of China. Judgmental sampling, stratified random sampling, and convenience sampling were used as sampling techniques. Prior to data collection, item objective congruence (IOC) and Cronbach’s Alpha reliability test were used to validate the data. For the data analysis, confirmatory factor analysis (CFA) and structural equation model (SEM) were employed to measure factor loading, reliability, validity and goodness of fit indices. Results: Behavioral Intention had the strongest significant effect on satisfaction, followed by social Influence, perceived ease of use, effort expectancy, perceived usefulness on behavioral intention. Additionally, perceived ease of use significantly affected on perceived usefulness. In opposite, the relationship between self-efficacy and behavioral intention was not supported. Conclusions: Academic researchers and school leaders would adapt the important factors impacting behavioral intention and satisfaction in the selection of online learning system to meet student’s needs and their learning objectives.
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    Investigation on satisfaction and performance of online education among fine arts major undergraduates in Chengdu Public University
    (Bangkok : Assumption University Press, 2022) Feng, Dalin ; Xiang, Chaochu ; Rawin Vongurai ; Soonthorn Pibulcharoensit
    Purpose: This research investigates factors affecting satisfaction and performance of online education among undergraduate fine art students in three public universities in Chengdu, China. The variables include perceived usefulness, perceived ease of use, self-efficacy, task-technology fit, compatibility, satisfaction and performance. Research design, data, and methods: Through a quantitative research approach, questionnaires were distributed via online and offline channels to 500 target respondents. Judgmental, quota and convenience samplings were used to collect the data. The data previously examined by Item Objective Congruence (IOC) Index to confirm content validity, and by Cronbach’s Alpha coefficient value to approve constructs’ reliability in a pilot test of 30 participants. Statistical analysis involves confirmatory factor analysis (CFA) and structural equation model (SEM), including the test of factor loadings, validity, reliability and goodness of fit model. Results: The results showed that perceived ease of use significant affected satisfaction and perceived usefulness. The relationship between self-efficacy, perceived ease of use and perceived usefulness was supported. Compatibility and task-technology fit significantly affected student satisfaction. Furthermore, satisfaction is a predictor of performance. Conclusion: For online education providers, the system should be designed to be easy, useful, self-control, compatibility and task-fit to gain higher student satisfaction and performance.