Teacher’s Readiness Toward Artificial Intelligence in The School of North Bali

Authors

  • M. Rokhman Purnama Universitas Pendidikan Ganesha, Indonesia
  • I Putu Iwan Krisna Adnyana Universitas Pendidikan Ganesha, Indonesia
  • Afrianto T.L Sogen Universitas Pendidikan Ganesha, Indonesia
  • Gede Indrawan Universitas Pendidikan Ganesha, Indonesia
  • Made Hery Santosa Universitas Pendidikan Ganesha, Indonesia

DOI:

https://doi.org/10.33394/jp.v12i1.13707

Keywords:

Artificial Intelligence, Educational Innovation, Teacher Readiness.

Abstract

This study aims to analyze teachers' readiness to integrate artificial intelligence into education for the digital revolution. In this study, teachers were randomly selected with a total of 73 teachers from various subjects. This research used a quantitative method of using questionnaires for data collection. The data analysis technique in this research uses descriptive quantitative.  Based on the research findings, technical ability, institutional support, adequate technological infrastructure, and school facilities affected teachers' readiness to use various types of artificial intelligence. Urban teachers were more ready than rural teachers, largely because urban teachers have more access to training materials and technology than rural teachers. In the future, in enabling AI to be used effectively to improve learning standards, government support needs to conduct specialized AI training at various school levels from urban to rural areas, in particular, stronger institutional support, and better school infrastructure and facilities to enhance teachers' readiness to face the digital revolution in education.

Author Biography

M. Rokhman Purnama, Universitas Pendidikan Ganesha

Post Graduate

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Published

2025-01-21

How to Cite

Purnama, M. R., Adnyana, I. P. I. K., Sogen, A. T., Indrawan, G., & Santosa, M. H. (2025). Teacher’s Readiness Toward Artificial Intelligence in The School of North Bali. Jurnal Paedagogy, 12(1), 23–32. https://doi.org/10.33394/jp.v12i1.13707

Issue

Vol. 12 No. 1 (2025): January

Section

Articles

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