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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Ramadhan Islami, Aditya
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Computer Science & IT Engineering

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Advanced digital competency assessment of vocational teachers': A new approach based on fuzzy-analytical hierarcy process Ramadhan Islami, Aditya; Abdullah, Ade Gafar; Widiaty, Isma; Yulia, Cica; Lukman Hakim, Dadang; Handoko, Erfan; Subekti, Eri; Rahmawati, Sherly
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2781-2795

Abstract

Teachers need digital competence to adapt easily to the current digital era. This study tries to discover the perceptions of vocational high school (VHS) teachers in Indonesia related to advanced digital competencies, which include information, communication, content creation, digital security, and problem-solving competencies. The multi-criteria Analytical Hierarchy Process (AHP) problem-solving method is used to rank the priority digital competencies that are most mastered by the respondents, and then their performance is validated by the fuzzy AHP artificial intelligence-based method. A poll was conducted with 392 respondents, with the research instrument adopting the digital competency measurement platform from DigComp. The study's results show that the fuzzy AHP method has proven that the classical AHP method is a very good way to prioritize VHS teachers' digital skills based on several factors. The two methods gave almost identical results in determining the priority order of VHS teacher digital competencies. The survey results reveal that VHS teachers in Indonesia must immediately develop their skills in terms of digital content creation and digital security. Teachers, teacher professional organizations, and decision-makers are expected to use the findings of this study as a reference in implementing VHS teacher digital competency improvement trainings.
Co-Authors Ade Gafar Abdullah, Ade Gafar Cica Yulia Erfan Handoko Isma Widiaty Lukman Hakim, Dadang Sherly Rahmawati Subekti, Eri