Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Education and Human Development Journal

Indonesian Education Trends Towards the Era of Society 5.0: Improving the Quality of Human Resources Fitriana, Nurin; Hayuni Retno Widarti; Nur Indah Agustina
JURNAL PENDIDIKAN DAN PENGEMBANGAN MANUSIA Vol 8 No 3 (2023): Education and Human Development Journal
Publisher : Universitas Nahdatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/ehdj.v8i3.5199

Abstract

The Society 5.0 era is an era where technology has become part of every individual, which means technology plays an important role in solving the problems faced by society. Thanks to Society 5.0, intelligence that cares about human aspects will transform millions of data collected via the Internet in all areas of life, especially education. Therefore, the importance of human resource readiness in facing the Society 5.0 era. The research method uses a qualitative approach with qualitative descriptive analysis of literature reviews about improving the quality of human resources before the Society 5.0 era collected from several research journals. This article was written to improve the quality of human resources, especially in the field of education, in facing trends in educational development so that human resources are ready to welcome the new era, namely the era of Society 5.0. The research results show that the challenges of education in the era of Society 5.0 require thorough preparation with adequate human resources and utilizing technological advances in the education sector.
Empowering Artificial Intelligence Literacy, Motivation, and Self-Efficacy for Education: SEM Study Fitriana, Nurin
JURNAL PENDIDIKAN DAN PENGEMBANGAN MANUSIA Vol 10 No 2 (2025): Education and Human Development Journal
Publisher : Universitas Nahdatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates the impact of artificial intelligence (AI) on science literacy, learning motivation, and self-efficacy among Indonesian higher education students, addressing a critical gap in educational innovation. Despite growing technological advances, science literacy in Indonesia remains below the OECD average, highlighting an urgent need for transformative learning strategies. Utilizing a Structural Equation Modeling (SEM) approach with Partial Least Squares (PLS-SEM) and bootstrapping (5,000 resamples) on a purposive sample of 180 students from science and technology programs, the research integrates three key constructs—science literacy, motivation, and self-efficacy—to provide a comprehensive analysis of their interrelationships in the context of AI-supported science education. Participants uniformly reported previous engagement with AI-integrated learning environments. Descriptive findings indicate high mean scores, notably a 4.339 average in basic science concept understanding and similarly strong results in self-efficacy and AI implementation. Outer loadings for all constructs exceeded the 0.70 threshold, ensuring robust measurement validity. Path analysis revealed that science literacy powerfully predicts AI implementation (coefficient: 0.853, p < 0.001, 95% CI [0.78, 0.92]) and moderately affects self-efficacy (coefficient: 0.143, p = 0.015, 95% CI [0.03, 0.26]), while AI implementation strongly influences motivation (coefficient: 0.404, p < 0.001, 95% CI [0.29, 0.52]). These results demonstrate the significant and integrated roles of literacy and self-efficacy in fostering student preparedness for AI-driven learning. The study offers valuable insights for enhancing science education and advancing digital competency in developing contexts.