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Autor/inn/enBadri, Masood; Al Rashedi, Asma; Yang, Guang; Mohaidat, Jihad; Al Hammadi, Arif
TitelStudents' Intention to Take Online Courses in High School: A Structural Equation Model of Causality and Determinants
QuelleIn: Education and Information Technologies, 21 (2016) 2, S.471-497 (27 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1360-2357
DOI10.1007/s10639-014-9334-8
SchlagwörterIntention; Electronic Learning; Structural Equation Models; High School Students; Causal Models; Secondary School Curriculum; Teaching Methods; Grade 10; Grade 11; Grade 12; Secondary School Students; Foreign Countries; Online Surveys; Information Technology; Student Attitudes; Technology Uses in Education; Social Networks; Predictive Validity; Predictor Variables; United Arab Emirates (Abu Dhabi)
AbstractOffering an online integrated high-school course or subject for the first time involves many challenges. Better understanding the factors that affect students' willingness to participate in the experience could provide support for better implementation of such a strategic initiative. In addition, it is important to understand how personal factors can influence the success of such an endeavour. This study develops a comprehensive structural equation model that captures most causal factors related to offering a high-school course online for the first time. A sample of public and private secondary school students (Grades 10, 11 and 12) in Abu Dhabi were administered an online survey regarding offering free online courses. The instrument was reviewed by other experts in curriculum, information technology and teaching and learning. The final instrument contained dimensions related to student perception of ease of use of e-learning, usefulness, self-efficacy, skills, style, student self-reported performance in certain subjects, use of social media, school support, teacher support, general support, access to the internet, and preferences behavioural intentions to use e-learning. The analysis provides a structural equation model with acceptable statistical fits and with many significant causal relationships. The paths representing direct and indirect effects of the construct predictors on intention to use provided statistical evidence of the validity of the 13 component predictors. Results show significant links between intention to use e-learning, perception of easiness, perception of usefulness, and other factors such as user characteristics and support. Use of social network affect intention to use e-learning indirectly thorough other variables. Limitations and implications of the study in general and as it concerns Abu Dhabi are highlighted. (As Provided).
AnmerkungenSpringer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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