ERIC Number: EJ1058362
Record Type: Journal
Publication Date: 2014
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2375-2033
EISSN: N/A
Available Date: N/A
UTAUT Model for Blended Learning: The Role of Gender and Age in the Intention to Use Webinars
Khechine, Hager; Lakhal, Sawsen; Pascot, Daniel; Bytha, Alphonse
Interdisciplinary Journal of E-Learning and Learning Objects, v10 p33-52 2014
The purpose of the paper was to determine the factors that explain the acceptance of a webinar system (Elluminate) in a blended learning course by students. The effects of gender and age as moderating variables were also studied. Our hypotheses were based on the unified theory of acceptance and use of the technology model, which was proven to be able to better explain the variance in usage intention than previous acceptance models. In total, 114 students enrolled in a blended information systems course at Laval University in Quebec-Canada answered 37 questions of seven-point Likert-type scale. Results have shown that the intention to use a webinar was directly influenced by performance expectancy (practical academic performance), effort expectancy (ease of use), and facilitating conditions (technical and organizational support). Only the age variable had a moderating effect. The obtained results will not only add scientific evidence to the literature about blended learning, webinars, and technology adoption, but it could also lead to a better practical understanding of the factors that may incite or discourage students to use webinar technologies in blended higher education. Faculty members and administrators should use these results to develop strategies to align users' expectations with technology use for learning.
Descriptors: Blended Learning, Gender Differences, Age Differences, Intention, Seminars, Hypothesis Testing, Foreign Countries, Likert Scales, Expectation, Usability, Internet, Web Based Instruction, Undergraduate Students, Business Administration Education, Questionnaires, Online Surveys, Factor Analysis, Multiple Regression Analysis
Informing Science Institute. 131 Brookhill Court, Santa Rosa, CA 95409. Tel: 707-531-4925; Fax: 480-247-5724; e-mail: contactus@informingscience.org; Web site: http://www.informingscience.org/Journals/IJELL/Overview
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada
Grant or Contract Numbers: N/A
Author Affiliations: N/A

Peer reviewed
Direct link
