Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

Jiragorn Chalermdit, Prachyanun Nilsook, Panita Wannapiroon

Abstract


The objectives of this research are to analyse and assess an intelligent graphical tutoring system using the internet of things (IoT) to develop the efficiency of embedded systems. The research findings suggest that an intelligent system is composed of six modules: 1) student, 2) graphical tutoring, 3) expert, 4) knowledge, 5) evaluation and 6) user interface. The result of a composition assessment performed by experts indicates that the overall results are at a high level. The system suitability scored the highest level which can be applied to real life situations.


Keywords


intelligent tutoring systems, internet of things, graphical programming, embedded system, embedded system competency

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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