The Role of Artificial Intelligence in the Digital Transformation of Education in the Era of Society 5.0
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Husaini Husaini, Diana Suksesiwaty Lubis, Laila Qadriah, Patriandi Nuswantoro

The Role of Artificial Intelligence in the Digital Transformation of Education in the Era of Society 5.0

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Introduction

The role of artificial intelligence in the digital transformation of education in the era of society 5.0. Discover AI's pivotal role in transforming Indonesian education for Society 5.0. Enhances learning, efficiency, and data-driven decisions, while addressing infrastructure challenges.

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Abstract

The rapid advancement of digital technology has accelerated the transformation of education systems, particularly through the adoption of artificial intelligence (AI) in the era of Society 5.0. This study aims to analyze the role of artificial intelligence in driving the digital transformation of education in Indonesia. A quantitative research approach was employed using survey data collected from 85 respondents involved in the education sector. Data were gathered through a structured questionnaire using a Likert scale and analyzed with SPSS version 25. The analysis included descriptive statistics, validity and reliability testing, and simple linear regression. The results indicate that artificial intelligence has a positive and statistically significant effect on the digital transformation of education. The regression analysis shows that AI explains 55.1% of the variance in digital transformation, highlighting its substantial contribution to improving learning personalization, administrative efficiency, and data-driven decision-making in educational institutions. Despite these positive outcomes, challenges related to digital infrastructure and human resource readiness remain. This study provides empirical evidence supporting the strategic importance of artificial intelligence in advancing educational transformation and offers insights for policymakers and educational institutions in aligning digital education strategies with the goals of Society 5.0 in Indonesia.


Review

This study tackles a highly relevant and timely subject, examining the strategic role of Artificial Intelligence (AI) in driving the digital transformation of education within Indonesia, aligning with the ambitions of Society 5.0. Utilizing a quantitative survey methodology with 85 respondents from the education sector, the research clearly demonstrates a positive and statistically significant impact of AI on digital transformation. A notable strength is the finding that AI accounts for 55.1% of the variance in digital transformation, providing empirical evidence for its substantial contribution to areas such as personalized learning, administrative efficiency, and data-driven decision-making in educational institutions. However, certain methodological considerations warrant discussion. The sample size of 85 respondents, while allowing for statistical analysis, is relatively small when attempting to generalize findings across the diverse and expansive education sector of Indonesia. This modest sample size may limit the broader applicability and representativeness of the results. Furthermore, while the abstract acknowledges crucial challenges related to digital infrastructure and human resource readiness, it does not elaborate on how these were quantitatively measured or integrated into the regression model, leaving a potential gap in understanding their direct interplay with AI's impact and the overall digital transformation process. Despite these points, the study makes a valuable contribution by providing foundational empirical evidence supporting the strategic importance of AI in educational advancement. Its insights are particularly useful for policymakers and educational institutions in Indonesia striving to harmonize digital education strategies with the objectives of Society 5.0. Future research could significantly enhance these findings by employing larger, more diverse samples, incorporating qualitative elements to deeply explore the identified challenges, and investigating specific AI applications or the moderating effects of infrastructure and human capital on AI's effectiveness in different educational contexts.


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