Student Behavioural Intentions to Use Desktop Video Conferencing in a Distance Course: Integration of Autonomy to the UTAUT Model
Journal of Computing in Higher Education Volume 25, Number 2, ISSN 1042-1726
The aim of this study was to examine psychological factors which could influence acceptance and use of the desktop video conferencing technology by undergraduate business students. Based on the Unified Theory of Acceptance and Use of Technology, this study tested a theoretical model encompassing seven variables: behavioural intentions to use desktop video conferencing, performance expectancy, effort expectancy, general social influence, peer social influence, facilitating conditions and autonomy. Data were collected on a sample of 177 undergraduate business students in a compulsory information system distance course using an online questionnaire. The results indicate that the main drivers of the behavioural intentions to use desktop video conferencing are, in order of importance: performance expectancy, facilitating conditions, general social influence and autonomy mediated by performance expectancy (R[superscript 2] = 50.5%). The structural model was further examined across gender and age groups. The results indicated different patterns of strength and significant relationships between groups and with the overall model, suggesting that gender and age played a moderating role. The discussion focused on the most important factors to consider by administrators and faculties in higher education when they come to implement desktop video conferencing in online academic courses.
Lakhal, S., Khechine, H. & Pascot, D. (2013). Student Behavioural Intentions to Use Desktop Video Conferencing in a Distance Course: Integration of Autonomy to the UTAUT Model. Journal of Computing in Higher Education, 25(2), 93-121.
- Age Differences
- Business Administration Education
- educational technology
- gender differences
- online courses
- Peer Influence
- Personal Autonomy
- Psychological Patterns
- Social Influences
- Statistical Analysis
- Student Behavior
- Technology Uses in Education
- undergraduate students
- Video Technology
Cited ByView References & Citations Map
Sawsen Lakhal, University of Sherbrooke, Canada; Hager Khechine & Daniel Pascot, Laval University, Canada
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2014 (Oct 27, 2014) pp. 1075–1083
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact firstname.lastname@example.org.