IoT based Personalized Online Learning Systems (Systematic Mapping Study)

doi:10.2298/CSIS241126032S

IoT based Personalized Online Learning Systems (Systematic Mapping Study)

2026-01-01

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DOI：10.2298/CSIS241126032S

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The Internet of Things (IoT) has found a wide application in different domains. One domain in which IoT has considerable impact is in Education. In this context, IoT plays an important role in obtaining information about the environment and actors in which the educational processes take place. This paper presents a systematic review of the literature identifying how IoT is integrated in Education to enhance personalization of online learning processes. To achieve this, we conducted an extensive mapping study analyzing the different techniques and methods used to integrate IoT in Education with particular focus on Personalized Online Learning (POL). Our mapping study involved screening of more than 6400 research and academic articles, from which 65 papers were identified as having implemented experimental or solution-based research involving IoT. From preliminary results we determined that the use of IoT in Education to implement POL is in its early stages. This study highlights the possible gaps in implementing IoT in POL and suggests future work opportunities for researchers, educators, and practitioners.

Keywords:

Personalized Online Learning

Internet of Things

Systematic Mapping Study

IoT based Personalized Online Learning Systems (Systematic Mapping Study)

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