Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective
Purpose: Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in instituti...
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Emerald Group Holdings Ltd.
2020
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| author | Bokolo Anthony Jnr, Bokolo Anthony Jnr Kamaludin, Adzhar Romli, Awanis Mat Raffei, Anis Farihan A_L Eh Phon, Danakorn Nincarean Abdullah, Aziman Gan, Leong Ming A. Shukor, Nurbiha Nordin, Mohd. Shukri Baba, Suria |
| author_facet | Bokolo Anthony Jnr, Bokolo Anthony Jnr Kamaludin, Adzhar Romli, Awanis Mat Raffei, Anis Farihan A_L Eh Phon, Danakorn Nincarean Abdullah, Aziman Gan, Leong Ming A. Shukor, Nurbiha Nordin, Mohd. Shukri Baba, Suria |
| author_sort | Bokolo Anthony Jnr, Bokolo Anthony Jnr |
| collection | ePrints |
| description | Purpose: Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned behavior (TPB). Design/methodology/approach: The empirical analysis entails data collected from 1,811 responses from an online survey questionnaire from students in Malaysian universities, colleges and polytechnics. Partial least square–structural equation modeling (PLS–SEM) was employed for data analysis. Findings: The results reveal that the attitude, subjective norm, perceived behavioral control and self-efficacy were found to influence students' intention to accept BL. Moreover, results suggest that the intention of students to accept BL approach is significantly influenced by actual BL deployment. Research limitations/implications: Data were collected from students in universities, colleges and polytechnics only. Besides, this research is one of the limited studies that explored BL deployment in a Malaysian perspective. Practical implications: Findings from this research not only add scientific evidence to BL literature but also provide a better understanding of the predictors that may motivate or discourage learners to deploy BL in institutions of higher learning. Social implications: Respectively, findings from this study aid students to acquire and apply knowledge on how to effectively improve BL initiatives in learning activities. Originality/value: This study is one of the fewer studies that investigate students' behavioral intentions toward BL deployment in Malaysia. Additionally, this study contributes to the understanding of the predictors that influence students' intention to accept and deploy BL in their respective institutions. |
| first_indexed | 2024-03-05T20:52:17Z |
| format | Article |
| id | utm.eprints-90947 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:52:17Z |
| publishDate | 2020 |
| publisher | Emerald Group Holdings Ltd. |
| record_format | dspace |
| spelling | utm.eprints-909472021-05-31T13:28:43Z http://eprints.utm.my/90947/ Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective Bokolo Anthony Jnr, Bokolo Anthony Jnr Kamaludin, Adzhar Romli, Awanis Mat Raffei, Anis Farihan A_L Eh Phon, Danakorn Nincarean Abdullah, Aziman Gan, Leong Ming A. Shukor, Nurbiha Nordin, Mohd. Shukri Baba, Suria H Social Sciences (General) Purpose: Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned behavior (TPB). Design/methodology/approach: The empirical analysis entails data collected from 1,811 responses from an online survey questionnaire from students in Malaysian universities, colleges and polytechnics. Partial least square–structural equation modeling (PLS–SEM) was employed for data analysis. Findings: The results reveal that the attitude, subjective norm, perceived behavioral control and self-efficacy were found to influence students' intention to accept BL. Moreover, results suggest that the intention of students to accept BL approach is significantly influenced by actual BL deployment. Research limitations/implications: Data were collected from students in universities, colleges and polytechnics only. Besides, this research is one of the limited studies that explored BL deployment in a Malaysian perspective. Practical implications: Findings from this research not only add scientific evidence to BL literature but also provide a better understanding of the predictors that may motivate or discourage learners to deploy BL in institutions of higher learning. Social implications: Respectively, findings from this study aid students to acquire and apply knowledge on how to effectively improve BL initiatives in learning activities. Originality/value: This study is one of the fewer studies that investigate students' behavioral intentions toward BL deployment in Malaysia. Additionally, this study contributes to the understanding of the predictors that influence students' intention to accept and deploy BL in their respective institutions. Emerald Group Holdings Ltd. 2020-09 Article PeerReviewed Bokolo Anthony Jnr, Bokolo Anthony Jnr and Kamaludin, Adzhar and Romli, Awanis and Mat Raffei, Anis Farihan and A_L Eh Phon, Danakorn Nincarean and Abdullah, Aziman and Gan, Leong Ming and A. Shukor, Nurbiha and Nordin, Mohd. Shukri and Baba, Suria (2020) Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective. International Journal of Information and Learning Technology, 37 (4). pp. 179-196. ISSN 2056-4880 http://dx.doi.org/10.1108/IJILT-02-2020-0013 |
| spellingShingle | H Social Sciences (General) Bokolo Anthony Jnr, Bokolo Anthony Jnr Kamaludin, Adzhar Romli, Awanis Mat Raffei, Anis Farihan A_L Eh Phon, Danakorn Nincarean Abdullah, Aziman Gan, Leong Ming A. Shukor, Nurbiha Nordin, Mohd. Shukri Baba, Suria Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective |
| title | Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective |
| title_full | Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective |
| title_fullStr | Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective |
| title_full_unstemmed | Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective |
| title_short | Predictors of blended learning deployment in institutions of higher learning: Theory of planned behavior perspective |
| title_sort | predictors of blended learning deployment in institutions of higher learning theory of planned behavior perspective |
| topic | H Social Sciences (General) |
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