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All Journal EDUCATIONE: Journal of Education Research and Review
Charnila Desria Heydemans
Universitas Negeri Manado
Education Social Sciences

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INNOVATION IN INDUSTRY-BASED LEARNING IN VOCATIONAL EDUCATION: A SYSTEMATIC REVIEW OF BEST PRACTICES IN VARIOUS COUNTRIES AND THEIR RELEVANCE TO INDONESIA Charnila Desria Heydemans; Syamsul Hadi; Hary Suswanto; Sh Mohd Firdaus; Great Erick Kaumbur
EDUCATIONE Volume 3, Issue 2, July 2025
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v3i2.58

Abstract

Vocational education plays a crucial role in preparing a skilled workforce for Industry 4.0, which demands technical expertise, critical thinking, and adaptability. Industry-Based Learning (IBL) models, successfully implemented in countries like Germany and Australia, integrate real-world industrial experiences into curricula. However, developing nations, including Indonesia, face challenges such as curriculum-industry misalignment, limited infrastructure, and insufficient industry engagement. This study employs a Systematic Literature Review (SLR) following the PRISMA framework to analyze 26 high-quality articles (2020–2024) on IBL innovations globally. Findings reveal effective models such as non-placement Work-Integrated Learning (WIL), digital competency frameworks, and challenge-based learning, which emphasize industry collaboration and practical skill development. For Indonesia, adapting these approaches—through virtual teaching factories, VR/AR-enhanced training, and dual VET systems—can address geographical and resource constraints. Key recommendations include flexible WIL implementation, digital upskilling for teachers, industry incentives, and policy reforms to align vocational education with labor market needs. The study highlights the need for contextual adaptation of global best practices to enhance Indonesia’s vocational system.
THE IMPACT OF AI LITERACY ON ACCOUNTING STUDENTS' RISK MANAGEMENT ABILITY: A SYSTEMATIC LITERATURE REVIEW Meike Mamentu; Vera Lionny Lumi; Annita Patricia Carolina Najoan; Charnila Desria Heydemans; Great Erick Kaumbur
EDUCATIONE Volume 4, Issue 1, January 2026
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v4i1.179

Abstract

The integration of Artificial Intelligence (AI) into the accounting ecosystem demands a redefinition of professional competencies. However, empirical understanding of how AI literacy specifically shapes accounting students' risk management abilities remains limited. This study aims to analyze the impact of AI literacy on accounting students' risk management ability through a systematic literature review. The research method employed is a Systematic Literature Review (SLR) following the PRISMA protocol, focusing on 26 selected articles published between 2021 and 2025. The analysis reveals that AI literacy is a multidimensional construct encompassing technical, domain-specific (accounting), and critical-ethical aspects. Key findings indicate that AI literacy significantly contributes to enhancing risk management ability, primarily by strengthening diagnostic and prognostic capabilities. The main mechanism occurs through the process of trust calibration, where literate students can critically evaluate AI outputs, thereby assuming the role of active auditors rather than passive users. The implication of this study underscores the urgency of integrating these three dimensions of AI literacy into the core accounting curriculum to prepare adaptive and competent graduates capable of navigating risk complexity in the digital era.
Co-Authors Annita Patricia Carolina Najoan Great Erick Kaumbur Hary Suswanto Meike Mamentu Sh Mohd Firdaus Syamsul Hadi Vera Lionny Lumi