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Transforming Teachers Through Project-Based Learning: A Systematic Literature and Network Analysis Indah Murtini; Eveline Siregar; Robinson Situmorang; Imam Fitri Rahmadi
Didaktika: Jurnal Kependidikan Vol. 14 No. 4 Nopember (2025): Didaktika Jurnal Kependidikan
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/27454312.3273

Abstract

This study employed an integrated Systematic Literature and Network Analysis (SLNA) approach to examine project-based learning teacher training models and their role in facilitating teacher transformation. Following PRISMA 2020 guidelines, we systematically reviewed 18 empirical studies (2020-2024) from Scopus database across diverse educational contexts in Asia and Europe, complemented by VOSviewer bibliometric analysis of 330 keyword co-occurrence networks. Results identified five essential training components: theoretical understanding, hands-on practice, structured reflection, collaborative learning, and sustained mentoring support. Teacher transformation progressed across three dimensions---pedagogical competence, teaching self-efficacy, and classroom implementation skills---with persistent challenges in classroom management, time allocation, and curriculum alignment. Bibliometric analysis positioned teacher transformation research at the convergence of pedagogical innovation, professional development theory, and technological integration, with COVID-19 as a catalytic network node and artificial intelligence representing the most recent high-impact frontier. Findings indicate effective PBL teacher training requires phase-based, scaffolded programs embedding authentic practice within collaborative professional learning communities and sustained institutional support.
Analysis of Training Design Needs for Accounting Vocational Teachers Using Project Based Learning Approach to Achieve Deep Learning: A Systematic Literature Review Indah Murtini; Eveline Siregar; Robinson Situmorang
Proceeding of the International Conference on Global Education and Learning Vol. 2 No. 2 (2025): December : Proceeding of the International Conference on Global Education and L
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icgel.v2i2.173

Abstract

This study analyzes the need for training design for accounting vocational teachers using Project Based Learning (PjBL) approach to achieve deep learning through systematic literature review. The gap in teachers' competence in implementing PjBL and the limitations of relevant training designs are major problems in vocational education. This research aims to identify trends, gaps, and needs for developing PjBL-based accounting teacher training designs oriented towards achieving deep learning. The systematic literature review method was employed by analyzing 25 articles from Scopus, ScienceDirect, and Google Scholar databases from 2018-2025. The research identified 25 unique articles categorized into three main themes: Deep Learning perspectives (10 articles), Vocational Teacher Training and Development (6 articles), and Project-Based Learning implementation (9 articles). The results show four main trends: (1) increased global adoption of PjBL as an innovative learning method, (2) demands from accounting professional organizations for active learning methods, (3) popularity of deep learning concepts in contemporary educational literature integrated with 21st-century skills, and (4) urgent need for comprehensive teacher training designs. Significant gaps were identified in the limitations of relevant training designs for vocational contexts and lack of systematic training development research. This study concludes that accounting vocational teacher training designs with PjBL approach are urgently needed to bridge the gap between theoretical competence and practical industry applications, with emphasis on achieving holistic deep learning encompassing cognitive, interpersonal, and intrapersonal domains.