A structural equation model analysis of English for specific purposes students' attitudes regarding computer-assisted language learning: UTAUT2 model
ISSN: 0737-8831
Article publication date: 25 July 2023
Issue publication date: 4 February 2025
Abstract
Purpose
The objective of this study is to investigate the key determinants affecting the acceptance and utilization of Blackboard as a Computer-Assisted Language Learning (CALL) platform among Saudi university students pursuing English as a foreign language (EFL) courses.
Design/methodology/approach
Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.
Findings
The study's findings indicate that performance expectancy, social influence, effort expectancy and price value significantly affect the attitudes of EFL students toward using CALL. The habit factor was the most robust predictor of behavioral intention and technology use, indicating that CALL usage can become automatic for students and improve their engagement in EFL learning. The study highlights the importance of providing better technical and organizational support to EFL students who want to use CALL more effectively. The theoretical and practical implications of the study's findings are thoroughly discussed.
Originality/value
Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the UTAUT2 by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.
Keywords
Acknowledgements
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. (PH-15-214-1441). The authors, therefore, acknowledge with thanks DSR for technical and financial support.
Availability of data and material: Data collected is part of ongoing research project work under the responsibility of the Deanship of E-learning and Distance Education of King Abdulaziz University and could be provided following an official request.
Citation
Bessadok, A. and Hersi, M. (2025), "A structural equation model analysis of English for specific purposes students' attitudes regarding computer-assisted language learning: UTAUT2 model", Library Hi Tech, Vol. 43 No. 1, pp. 36-55. https://doi.org/10.1108/LHT-03-2023-0124
Publisher
:Emerald Publishing Limited
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