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Autor/inn/enYu, Zhonggen; Xu, Wei; Sukjairungwattana, Paisan
TitelExamining Student Behavioral Intention of Superstar Learning System by Extending Its Technology Acceptance Model
QuelleIn: International Journal of Web-Based Learning and Teaching Technologies, 17 (2022) 1, Artikel 4 (16 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Yu, Zhonggen)
ORCID (Xu, Wei)
ORCID (Sukjairungwattana, Paisan)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1548-1093
SchlagwörterStudent Behavior; Educational Technology; Computer Interfaces; Technology Uses in Education; Intention; Usability; Users (Information); Electronic Learning; College Students; Foreign Countries; Peer Influence; China (Beijing)
AbstractSuperstar Learning System, designed and developed by Superstar Company, is a learning platform where teachers and learners may have access to plentiful educational resources and interact with each other. Behavioral intention related to this platform has not been enough explored although many researchers have examined its use in education. A random sampling technique and a questionnaire survey were adopted to collect data to complement this missing link in literature. This study revealed numerous influencing factors of behavioral intention such as performance expectancy, effort expectancy, lecturer influence, peer influence, user innovativeness, interface simplicity, and multiple functions. It also extended the extended technology acceptance model (TAM) by involving more influencing constructs, i.e. lecturer and peer influences, user innovativeness, interface simplicity, and multiple functions. Future research could adopt inter-disciplinary research methods to examine Superstar Learning System-based behavior intention of learners. (As Provided).
AnmerkungenIGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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