Assessing AR-MicroC: A Study on the Reliability and Validity of an AR Learning Module for IoT

Authors

  • Farah Waheda Othman Department of Information Technology and Communication, Sultan Idris Shah Polytechnic, Sungai Lang, 45100 Sungai Air Tawar, Selangor, Malaysi
  • Irdayanti Mat Nashir Faculty of Technical and Vocational, Sultan Idris Education University, Tanjung Malim, 35900, Perak, Malaysia
  • Mohamad Syahril Mat Saad Department of Information Technology, Pasir Salak Community College, Jalan Lebuh Paduka, Changkat Lada, 36800 Kampung Gajah, Perak, Malaysia
  • Muhamad Asrul Affendi Mat Nor Department of Automotive Technology, Pasir Salak Community College, Jalan Lebuh Paduka, Changkat Lada, 36800 Kampung Gajah, Perak, Malaysia
  • Nurhan Ayub Department of Automotive Technology, Pasir Salak Community College, Jalan Lebuh Paduka, Changkat Lada, 36800 Kampung Gajah, Perak, Malaysia
  • Arthit Kleebrung Faculty of Information Technology Development, Khon Kaen Vocational College, Mueang Khon Kaen District, Khon Kaen 40000, Thailand

DOI:

https://doi.org/10.37934/ctds.6.1.1427

Keywords:

Validity, reliability, learning module, augmented reality, internet of things

Abstract

This study was conducted to determine the validity of the module and the reliability of the module in improving the achievement and motivation of Community College students in the introduction to the Internet of Things course. This module has been built based on the m-ADDIE model with five development phases. The instrument used for the study is a questionnaire on module content validity and reliability. The module was validated by 9 expert assessors, including public university lecturers and expert lecturers. They have expertise in content, language, multimedia, and technical design. The result of the expert evaluation shows that the validity value of the AR-MicroC Augmented Reality Learning Module shows a high degree of agreement which is 100% for language validity, 94% for content validity, and 91% for the validity of the multimedia and technical design of the module. The developed module also meets the aspects outlined in the course syllabus with slight improvements based on the comments made by the expert panel. The reliability of the module was obtained from 29 semester 3 students who participated in the implementation of the pilot study. The Cronbach's Alpha score obtained for reliability was 0.952. Expert opinion on the validity of this module is good. Positive feedback was received from respondents related to the reliability of the module which got a high reliability value. This finding reflects that this module can be adopted among students to improve their achievement and motivation when using AR-MicroC Augmented Reality Learning Module.

Author Biographies

Farah Waheda Othman, Department of Information Technology and Communication, Sultan Idris Shah Polytechnic, Sungai Lang, 45100 Sungai Air Tawar, Selangor, Malaysi

farahwaheda@psis.edu.my

Irdayanti Mat Nashir, Faculty of Technical and Vocational, Sultan Idris Education University, Tanjung Malim, 35900, Perak, Malaysia

irdayanti@ftv.upsi.edu.my

Mohamad Syahril Mat Saad, Department of Information Technology, Pasir Salak Community College, Jalan Lebuh Paduka, Changkat Lada, 36800 Kampung Gajah, Perak, Malaysia

syahril@staf.kkpsa.edu.my

Muhamad Asrul Affendi Mat Nor, Department of Automotive Technology, Pasir Salak Community College, Jalan Lebuh Paduka, Changkat Lada, 36800 Kampung Gajah, Perak, Malaysia

asrul@staf.kkpsa.edu.my

Nurhan Ayub, Department of Automotive Technology, Pasir Salak Community College, Jalan Lebuh Paduka, Changkat Lada, 36800 Kampung Gajah, Perak, Malaysia

nurhan@staf.kkpsa.edu.my

Arthit Kleebrung, Faculty of Information Technology Development, Khon Kaen Vocational College, Mueang Khon Kaen District, Khon Kaen 40000, Thailand

arthit.kleebrung@gmail.com

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Published

2025-06-30

How to Cite

Othman, F. W., Mat Nashir, I., Mat Saad, M. S., Mat Nor, M. A. A., Ayub, N., & Kleebrung, A. (2025). Assessing AR-MicroC: A Study on the Reliability and Validity of an AR Learning Module for IoT. International Journal of Advanced Research in Computational Thinking and Data Science, 6(1), 14–27. https://doi.org/10.37934/ctds.6.1.1427

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