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

Authors

  • Jiragorn Chalermdit King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
  • Prachyanun Nilsook King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
  • Panita Wannapiroon King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

DOI:

https://doi.org/10.3991/ijoe.v15i04.9511

Keywords:

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

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.

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Published

2019-02-27

How to Cite

Chalermdit, J., Nilsook, P., & Wannapiroon, P. (2019). Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems. International Journal of Online and Biomedical Engineering (iJOE), 15(04), pp. 98–110. https://doi.org/10.3991/ijoe.v15i04.9511

Issue

Vol. 15 No. 04 (2019)

Section

Papers