IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia
The realm of the Internet of Things (IoT), while continually transforming as a novel paradigm in the nexus of technology and education, still contends with numerous obstacles that hinder its incorporation into higher education institutions’ (HEIs) e-learning platforms. Despite substantial strides in...
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| Format: | Article |
| Language: | English |
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MDPI
2023
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| Online Access: | http://eprints.utm.my/107337/1/SyedHamidHussain2023_IoTAdoptionModelforELearning.pdf |
| _version_ | 1811132518587432960 |
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| author | Ali, Javed Madni, Syed Hamid Hussain Jahangeer, Mohd. Shamim Ilyas Ahmed Danish, Muhammad Abdullah |
| author_facet | Ali, Javed Madni, Syed Hamid Hussain Jahangeer, Mohd. Shamim Ilyas Ahmed Danish, Muhammad Abdullah |
| author_sort | Ali, Javed |
| collection | ePrints |
| description | The realm of the Internet of Things (IoT), while continually transforming as a novel paradigm in the nexus of technology and education, still contends with numerous obstacles that hinder its incorporation into higher education institutions’ (HEIs) e-learning platforms. Despite substantial strides in IoT utilization from industrialized nations—the United States, the United Kingdom, Japan, and China serving as prime exemplars—the scope of its implementation in developing countries, notably Saudi Arabia, Malaysia, Pakistan, and Bangladesh, lags behind. A significant gap exists in research centered on the trajectory of IoT integration within e-learning systems of economically disadvantaged nations. Specifically, this study centers on Saudi Arabia to illuminate the main factors catalyzing or encumbering IoT uptake within its HEIs’ e-learning sector. As a preliminary step, this research has embarked on an exhaustive dissection of prior studies to unearth critical variables implicated in the IoT adoption process. Subsequently, we employed an inferential methodology, amassing data from 384 respondents in Saudi Arabian HEIs. Our examination divulges that usability, accessibility, technical support, and individual proficiencies considerably contribute to the rate of IoT incorporation. Furthermore, our data infer that financial obstacles, self-efficacy, interactive capability, online surveillance, automated attendance tracking, training programs, network and data safeguarding measures, and relevant tools significantly influence IoT adoption. Contrarily, factors such as accessibility, internet quality, infrastructure preparedness, usability, privacy concerns, and faculty support appeared to have a negligible impact on the adoption rates within HEIs. This research culminates in offering concrete recommendations to bolster IoT integration within Saudi Arabian HEIs, presenting valuable insights for government entities, policy architects, and HEIs to address the hurdles associated with IoT implementation in the higher education sector. |
| first_indexed | 2024-09-24T00:05:34Z |
| format | Article |
| id | utm.eprints-107337 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-09-24T00:05:34Z |
| publishDate | 2023 |
| publisher | MDPI |
| record_format | dspace |
| spelling | utm.eprints-1073372024-09-03T06:15:32Z http://eprints.utm.my/107337/ IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia Ali, Javed Madni, Syed Hamid Hussain Jahangeer, Mohd. Shamim Ilyas Ahmed Danish, Muhammad Abdullah L Education (General) QA75 Electronic computers. Computer science The realm of the Internet of Things (IoT), while continually transforming as a novel paradigm in the nexus of technology and education, still contends with numerous obstacles that hinder its incorporation into higher education institutions’ (HEIs) e-learning platforms. Despite substantial strides in IoT utilization from industrialized nations—the United States, the United Kingdom, Japan, and China serving as prime exemplars—the scope of its implementation in developing countries, notably Saudi Arabia, Malaysia, Pakistan, and Bangladesh, lags behind. A significant gap exists in research centered on the trajectory of IoT integration within e-learning systems of economically disadvantaged nations. Specifically, this study centers on Saudi Arabia to illuminate the main factors catalyzing or encumbering IoT uptake within its HEIs’ e-learning sector. As a preliminary step, this research has embarked on an exhaustive dissection of prior studies to unearth critical variables implicated in the IoT adoption process. Subsequently, we employed an inferential methodology, amassing data from 384 respondents in Saudi Arabian HEIs. Our examination divulges that usability, accessibility, technical support, and individual proficiencies considerably contribute to the rate of IoT incorporation. Furthermore, our data infer that financial obstacles, self-efficacy, interactive capability, online surveillance, automated attendance tracking, training programs, network and data safeguarding measures, and relevant tools significantly influence IoT adoption. Contrarily, factors such as accessibility, internet quality, infrastructure preparedness, usability, privacy concerns, and faculty support appeared to have a negligible impact on the adoption rates within HEIs. This research culminates in offering concrete recommendations to bolster IoT integration within Saudi Arabian HEIs, presenting valuable insights for government entities, policy architects, and HEIs to address the hurdles associated with IoT implementation in the higher education sector. MDPI 2023-06 Article PeerReviewed application/pdf en http://eprints.utm.my/107337/1/SyedHamidHussain2023_IoTAdoptionModelforELearning.pdf Ali, Javed and Madni, Syed Hamid Hussain and Jahangeer, Mohd. Shamim Ilyas and Ahmed Danish, Muhammad Abdullah (2023) IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia. Sustainability (Switzerland), 15 (12). pp. 1-19. ISSN 2071-1050 http://dx.doi.org/10.3390/su15129748 DOI:10.3390/su15129748 |
| spellingShingle | L Education (General) QA75 Electronic computers. Computer science Ali, Javed Madni, Syed Hamid Hussain Jahangeer, Mohd. Shamim Ilyas Ahmed Danish, Muhammad Abdullah IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia |
| title | IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia |
| title_full | IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia |
| title_fullStr | IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia |
| title_full_unstemmed | IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia |
| title_short | IoT adoption model for e-learning in higher education institutes: a case study in Saudi Arabia |
| title_sort | iot adoption model for e learning in higher education institutes a case study in saudi arabia |
| topic | L Education (General) QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/107337/1/SyedHamidHussain2023_IoTAdoptionModelforELearning.pdf |
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