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Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries.
Madni, Syed Hamid Hussain; Ali, Javed; Husnain, Hafiz Ali; Masum, Maidul Hasan; Mustafa, Saad; Shuja, Junaid; Maray, Mohammed; Hosseini, Samira.
Afiliación
  • Madni SHH; School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
  • Ali J; College of Computing Informatics, Saudi Electronic University, Madina, Saudi Arabia.
  • Husnain HA; School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
  • Masum MH; School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
  • Mustafa S; Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
  • Shuja J; Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
  • Maray M; Department of Information System, College of Computer Science, King Khalid University, Abha, Saudi Arabia.
  • Hosseini S; Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Monterrey, Mexico.
Front Psychol ; 13: 915596, 2022.
Article en En | MEDLINE | ID: mdl-35874420
The internet of things (IoT) is an emerging paradigm of educational applications and innovative technology in the current era. While capabilities are increasing day by day, there are still many limitations and challenges to utilizing these technologies within E-Learning in higher educational institutes (HEIs). The IoT is well-implemented in the United States of America (USA), United Kingdom (UK), Japan, and China but not in developing countries, including Saudi Arabia, Malaysia, Pakistan, Bangladesh, etc. Few studies have investigated the adoption of IoT in E-Learning within developing countries. Therefore, this research aims to examine the factors influencing IoT adoption for E-Learning to be utilized in HEIs. Further, an adoption model is proposed for IoT-based E-Learning in the contexts of developing countries and provides recommendations for enhancing the IoT adoption for E-Learning in HEIs. The IoT-based E-Learning model categorizes these influencing factors into four groups: individual, organizational, environmental, and technological. Influencing factors are compared along with a detailed description in order to determine which factors should be prioritized for efficient IoT-based E-Learning in HEIs. We identify the privacy (27%), infrastructure readiness (24%), financial constraints (24%), ease of use (20%), support of faculty (18%), interaction (15%), attitude (14%), and network and data security (14%), as the significant E-Learning influencing factors on IoT adoption in HEIs. These findings from the researcher's perspective will show that the national culture has a significant role in the individual, organizational, technological, and environmental behavior toward using new technology in developing countries.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Front Psychol Año: 2022 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Systematic_reviews Idioma: En Revista: Front Psychol Año: 2022 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Suiza