Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries.

Syed Hamid Hussain Madni, Javed Ali, Hafiz Ali Husnain, Maidul Hasan Masum, Saad Mustafa, Junaid Shuja, Mohammed Maray, Samira Hosseini
Author Information
  1. Syed Hamid Hussain Madni: School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
  2. Javed Ali: College of Computing Informatics, Saudi Electronic University, Madina, Saudi Arabia.
  3. Hafiz Ali Husnain: School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
  4. Maidul Hasan Masum: School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
  5. Saad Mustafa: Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
  6. Junaid Shuja: Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
  7. Mohammed Maray: Department of Information System, College of Computer Science, King Khalid University, Abha, Saudi Arabia.
  8. Samira Hosseini: Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Monterrey, Mexico.

Abstract

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.

Keywords

References

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Word Cloud

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