Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study

Al-Maroof, RS; AlAhbabi, NMN; Akour, I; Alhumaid, K; Ayoubi, K; Alnnaimi, M; Thabit, S; Alfaisal, R; Aburayya, A; Salloum, S

Abstract

Recently audio and video material has been used significantly in various online platforms. The audio-video materials enhance the teaching and learning process by facilitating the transformation of
the data and providing a richer interactive environment, hence gaining wide intention within the
educational realm. However, empirical studies have not examined the acceptance of the audio and
video material depending on a conceptual model where acceptance is the key factor. The present
study attempts to overcome this gap in the literature review by investigating the effects of media
richness, speed and vividness, perceived concentration, perceived ease of use, perceived usefulness
on the acceptance of audio-video material. What distinguishes the current study is the fact that content richness is considered as a mediator that affects all other factors in the conceptual model. The
data is collected by distributing the online survey to college students. The results provide mostly
insight and support for students’ intention to use audio-visual resources in a conceptual model. The
technology characteristics of speed and vividness as well as TAM constructs were significant predictors of technology acceptance. However, it is concluded that the external factor of the perceived
concentration has no impact on the students’ perception and intention to use audio-visual resources.
In the recommendation, some theoretical and practical implications are stated along with the focus
on technology designers, change managers, and users.

Citation

Al-Maroof, R., AlAhbabi, N., Akour, I., Alhumaid, K., Ayoubi, K., Alnnaimi, M., …Salloum, S. (2022). Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study. International journal of data and network science (Online), 6(2), 603-618. https://doi.org/10.5267/j.ijdns.2021.11.004

• Journal Article Type: Article
• Acceptance Date: Nov 8, 2021
• Online Publication Date: Nov 9, 2021
• Publication Date: Mar 1, 2022
• Deposit Date: Mar 11, 2022
• Publicly Available Date: Mar 11, 2022
• Journal: International Journal of Data and Network Science
• Print ISSN: 2561-8148
• Volume: 6
• Issue: 2
• Pages: 603-618
• DOI: https://doi.org/10.5267/j.ijdns.2021.11.004
• Publisher URL: https://doi.org/10.5267/j.ijdns.2021.11.004
• Related Public URLs: http://www.growingscience.com/ijds/ijds.html