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Using the Internet of Things (IOT) in Classrooms to Direct Non-Diverse Students toward Critical Factors Educators

Archana .

Abstract


This study aimed to explore the factors directing non-diverse teachers’ decisions to use the Internet of Things (IOT) in a classroom as a digital system to enhance teaching and learning. The technology acceptance model (TAM) was used to investigate the effects of using the IOT in an e-learning environment on non-diverse teachers’ perceived usefulness, ease of use, attitudes toward using IOT, and the influence of such attitudes on students’ behavior. Forty-seven final-year non-diverse teachers were selected to participate by purposeful sampling. A quantitative approach via regression analysis was taken to analyze the collected data. The results showed that the TAM-related factors of the IOT’s perceived usefulness and ease of use significantly contributed to pre-ser- vice teachers’ attitudes toward using IOT in classrooms. However, their attitude toward the IOT was not influential in their intention to use it. On the other hand, it’s perceived usefulness was the most critical factor in non-diverse participants’ intention to use or continue to use the IOT in the future. Accordingly, several pedagogical implications for the design and development of teacher preparation programs are discussed. Recommendations for future work are suggested as a result of this study.


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References


S. Kraijak and P. Tuwanut, “A Survey on IOT Architectures, Protocols, Applications, Secu- rity, Privacy, Real-world Implementation, and Future Trends,” in 11th International Con- ference on Wireless Communications, Networking and Mobile Computing (wicom),

Shanghai, IET, September 21–23, 2015, pp. 1–6. Https://doi.org/10.1049/cp.2015.0714

G. Reggio, M. Leotta, M. Cerioli, R. Spalazzese, and F. Alkhabbas, “What Are IOT Systems for Real? An Experts’ Survey on Software Engineering Aspects,” Internet of Things, 12, 2020. Https://doi.org/10.1016/j.IOT.2020.100313

M. B. Abbasy and E. V. Quesada, “Predictable Influence of IOT (Internet of Things),” The Higher Education, International Journal of Information and Education Technology, vol. 7, no. 12, 2017, pp. 914–920. Https://doi.org/10.18178/ijiet.2017.7.12.995

M. Abdel-Basset, G. Manogaran, A. Gamal, and V. Chang, “A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IOT,” IEEE Internet of Things Journal, vol. 7, no. 5, 2019, pp. 4160–4170. Https://doi.org/10.1109/JIOT.2019.2931647

M. Ammar, G. Russello, and B. Crispo, “Internet of Things: A Survey on the Security of IOT Frameworks,” Journal of Information Security and Applications, vol. 38, 2018, pp. 8–27. Https://doi.org/10.1016/j.jisa.2017.11.002

P. Mertala, “Young Children’s Perceptions of Ubiquitous Computing and the Internet of Things,” British Journal of Educational Technology, vol. 51, no. 1, 2020, pp. 84–102. Https://doi.org/10.1111/bjet.12821

Statista, “Internet of Things (IOT) connected devices installed base worldwide from 2015 to 2025,” Statista, 2021. Accessed on: Sept. 9, 2021. [Online]. Available: https://www.statista. Com/statistics/471264/IOT-number-of-connected-devices-worldwide

J. Marquez, J. Villanueva, Z. Solarte, and A. Garcia, “IOT in Education: Integration of Objects with Virtual Academic Communities,” in New Advances in Information Systems and Tech- nologies, A. Rocha, A. Correia, H. Adeli, L. P. Reis, and M. M. Teixeira, (Eds.), Switzerland,

Springer-Verlag, 2016, pp. 201–212. Https://doi.org/10.1007/978-3-319-31232-3_19


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