Analysing IoT Digital Education: Fostering Students’ Understanding and Digital Literacy


Tutkyshbayeva S. Zakirova A.
14 May 2024International Federation of Engineering Education Societies (IFEES)

International Journal of Engineering Pedagogy
2024#14Issue 44 - 23 pp.

This study aims to develop effective strategies for enhancing the digital skills of students specialising in information technology (IT). The study’s relevance is justified by the necessity to adjust educational methods to the dynamic development of the Internet of Things (IoT) and digital technologies in general. The object of the study is students at Astana IT University who are studying IT. The experimental group (EG) trains using IoT-integrated digital educational materials (DEMs), while the control group (CG) receives traditional training. Since existing research often omits the synergy between IoT and educational methods, creating a gap in understanding the effectiveness of integrated educational resources, this study applies research methodology, including literature analysis, experimentation, and statistical data analysis. The research results are verified using statistical methods such as the Shapiro-Wilk normality test and F-test. Analysing the mean scores in the experimental and CGs helps measure students’ progress in developing digital skills. The study aims to determine the effectiveness of IoT-integrated DEMs in enhancing students’ digital skills and to provide a comprehensive understanding of the influence of these educational approaches on IoT learning. The findings will significantly improve educational programs and methodologies in the IT domain in line with current technological advancements.

digital educational materials (DEMs) , digital literacy , Internet of Things (IoT) , literacy skills , longitudinal method

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Astana IT University, Astana, Kazakhstan
Department of Computer Science, Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Nur-Sultan, 010000, Kazakhstan

Astana IT University
Department of Computer Science

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