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Journal : JOURNAL OF ECONOMICS EDUCATION AND ENTREPRENEURSHIP

Assessing the Effectiveness of the Problem-Based Learning (PBL) Model Across Study Programs on Students at Yogyakarta State University Astuti, Vera; Purnamasari, Niken; Suyanto, Umar Yeni
Journal of Economics Education and Entrepreneurship Vol 6, No 3 (2025): JEE, DECEMBER 2025
Publisher : Program Studi Pendidikan Ekonomi FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jee.v6i3.16645

Abstract

Student learning outcomes are vital indicators of educational quality. and they continue to be a central focus in education systems worldwide. This study evaluates the effectiveness of the Problem-Based Learning (PBL) model in enhancing student outcomes at Yogyakarta State University. PBL engages students in solving real-world problems, promoting active learning and critical thinking. Using a Quasi-Experimental method with a One-Group Pre-test and Post-test design, the research examines PBL's impact on cognitive achievement in Economics Education, Management, and Office Administration Education programs. The findings reveal significant improvements in learning outcomes after PBL implementation, highlighting its potential to enhance educational quality across disciplines.
Mapping the Future of AI-Driven Digital Transformation in SMEs: A Bibliometric and Conceptual Framework Analysis Towards Sustainable and Inclusive Innovation Suyanto, Umar Yeni; Pangestika, Ratna Rosita; Prameswari, Kinanti Puja; Setiyaningsih, Heni
Journal of Economics Education and Entrepreneurship Vol 7, No 1 (2026): JEE, APRIL 2026
Publisher : Program Studi Pendidikan Ekonomi FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jee.v7i1.17062

Abstract

The integration of Artificial Intelligence (AI) into Small and Medium Enterprises (SMEs) has become a critical lever for achieving resilience, efficiency, and long-term sustainability in the digital era. However, despite AI’s transformative potential, empirical evidence suggests a persistent gap between technological capabilities and actual adoption within the SME sector. This study employs a bibliometric analysis using VOSviewer with the keywords "artificial intelligence" OR "AI" AND "Small and medium enterprises" OR "SMEs" AND "digital", encompassing 150 Scopus indexed articles from 2017 to 2025. The visualizations reveal six prominent thematic clusters, including AI based adaptive strategies, post-pandemic digital transformation, decentralized finance, digital literacy, and emerging concepts such as green cybersecurity. Notably, overlay visualizations indicate that sustainability-oriented digital practices are gaining scholarly momentum, signaling a future research trajectory focused on inclusive, secure, and environmentally conscious AI applications in SMEs. This article proposes a conceptual model SDRAIS (SME Digital Resilience through AI and Sustainability) that integrates three strategic dimensions: Strategic AI Integration, Digital Capabilities, and Sustainability Orientation. The model advances theoretical development by aligning with the Dynamic Capabilities and TOE (Technology Organization Environment) frameworks, while also responding to gaps in Triple Bottom Line (TBL)-driven technology adoption. The findings offer new perspectives for policymakers, SME stakeholders, and researchers by emphasizing the importance of interdisciplinary approaches to foster AI-driven innovation ecosystems that are both competitive and sustainable. This study contributes to the evolving discourse on digital transformation in SMEs and sets a robust foundation for future empirical exploration.