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 and Salloum, S ORCID: https://orcid.org/0000-0002-6073-3981 2022, 'Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study' , International Journal of Data and Network Science, 6 (2) , pp. 603-618.

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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.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: International Journal of Data and Network Science
Publisher: Growing Science
ISSN: 2561-8148
Related URLs:
Depositing User: USIR Admin
Date Deposited: 11 Mar 2022 15:12
Last Modified: 17 Aug 2022 10:17
URI: https://usir.salford.ac.uk/id/eprint/63357

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