Developing the GEN-V Startup Ecosystem: An AI-Driven Integration of Multidisciplinary Learning in Vocational High School
Article Sidebar
November 26, 2025
April 29, 2026
-
GEN-V Ecosystem, Google Gemini, Multidisciplinary Learning, Startup Acceleration, Vocational Education
Abstract
Background. Traditional vocational education often operates in “silos,” where subjects are taught in isolation, hindering students' ability to integrate diverse competencies into real-world work scenarios.
Purpose. This study develops and evaluates the “GEN-V” startup ecosystem an innovative pedagogical model designed to integrate 13 subjects through an AI-driven digital startup project for vocational high school students.
Method. Utilizing a Research and Development (R&D) approach with the ADDIE model, this study involved 95 students from three classes (XII DKV 1, 2, and 3) at SMK Negeri 1 Mojokerto, organized into 18 startup teams. Each team was structured into six specialized roles: Chief Executive Officer (CEO), Chief Product Officer (CPO), Chief Marketing Officer (CMO), Chief Financial Officer (CFO), Chief Technology Officer (CTO), and Chief Content Officer (CCO). Data were collected through a centralized project management dashboard, an 8-week startup sprint observation, and multidisciplinary evaluations from a panel of 14 teacher-mentors.
Results. The findings demonstrate that the GEN-V ecosystem effectively synchronized multidisciplinary tasks. The “Traffic Light” monitoring system evidenced a 95% task completion rate across all specialized departments. Furthermore, the strategic integration of Google Gemini AI significantly accelerated content production and financial modeling, enabling teams to achieve realistic Break-Even Point (BEP) projections and market validation within a condensed timeframe.
Conclusion. The GEN-V ecosystem serves as a transformative learning model that successfully dismantles subject barriers. By fostering AI-human collaboration and disciplined project management, it effectively prepares vocational students for the complexities of the digital startup industry.
Full text article
References
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI, 7(1), 33-51.
Basyah, A. (2015). Efektifitas K-W-L Chart Pada Media Pembelajaran Mandiri Pemrograman Java Siswa Kelas X Multimedia SMK Negeri 1 Mojokerto. Jurnal Karya Pendidikan, 1(3), 33-37.
Basyah, A., Kamdi, W., Purnomo, & Tuwoso. (2026). Pengaruh Project Based Learning dan Visualisasi Konten terhadap Kemampuan Merealisasikan Minat Wirausaha dalam Mata Pelajaran Produk Kreatif Kewirausahaan di SMK. Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika.
Bond, M., et al. (2020). Facilitating student engagement through the flipped classroom approach in K-12: A systematic review. Computers & Education.
Branch, R. M. (2009). Instructional Design: The ADDIE Approach. Springer New York.
Chiu, T. K. (2021). Digital support for student engagement in blended learning based on self-determination theory. Computers & Education.
Dwivedi, Y. K., et al. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
Evansluong, Q., & Ramirez, A. (2019). The Role of Family in the Entrepreneurial Ideation Process. Journal of Family Business Management.
Fitriani, A. S. (2020). Implementation of Project Based Learning in Vocational Education. Journal of Vocational Education Studies.
Ghufron, M. A. (2018). Industrial Revolution 4.0: Opportunities and Challenges for Education. Journal of English Teaching and Research.
Hannon, P. D. (2018). Entrepreneurship education and its impact: A 20-year journey. International Journal of Entrepreneurial Behavior & Research.
Hasan, R., et al. (2022). Smart Pedagogical Framework for Vocational Education in the Digital Era. International Journal of Emerging Technologies in Learning (iJET), 17(10), 45-58.
Khosravi, H., et al. (2022). Explainable Artificial Intelligence in Education. Computers and Education: Artificial Intelligence.
Lackéus, M. (2020). Entrepreneurship in Education: What, Why, When, How. OECD Publishing.
Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. UCL Press.
Microsoft. (2024). The AI Workforce Transformation: Preparing the Next Generation. Microsoft Research. [Online]. Available: https://www.microsoft.com/en-us/research/publication/ai-workforce-transformation/
Mollick, E. R., & Mollick, L. (2023). Using AI to Implement Intelligent Tutoring, Simulation, and Personalization in Education. SSRN Electronic Journal.
OECD. (2019). The Future of Education and Skills 2030: OECD Learning Compass 2030. OECD Publishing.
Parsons, D., & MacCallum, K. (2021). Agile Education: Exploring the Application of Agile Methods in Learning and Training. Springer Nature.
Rahayu, S., et al. (2022). Digital Transformation in Vocational High School: A Systematic Literature Review. Journal of Education Technology.
Rigby, D. K., et al. (2022). Agile at Scale. Harvard Business Review.
Salmon, G. (2019). May the Fourth Be with You: Creating Education 4.0. Journal of Learning for Development, 6(2), 95-115.
Sari, R. N. (2021). The Effectiveness of Flipped Classroom in Vocational High School. Indonesian Journal of Educational Research.
Sudira, P. (2016). Metodologi Pembelajaran Vokasional Berbasis Praksis. UNY Press.
Surani, D. (2019). Studi Literatur: Peran Teknologi Pendidikan Dalam Pendidikan 4.0. Prosiding Seminar Nasional Pendidikan FKIP.
Sutherland, J. (2014). Scrum: The Art of Doing Twice the Work in Half the Time. Crown Business.
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing.
Wibowo, N. (2016). Upaya Memperkecil Kesenjangan Kompetensi Lulusan Sekolah Menengah Kejuruan dengan Tuntutan Dunia Industri. Jurnal Pendidikan Teknologi dan Kejuruan.
Widiaty, I., et al. (2020). Interactive Multimedia Applications for Vocational Education. Journal of Physics: Conference Series.
World Economic Forum. (2023). The Future of Jobs Report 2023.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0
Authors
Copyright (c) 2026 Ali Basyah, Waras Kamdi, Purnomo Purnomo, Tuwoso Tuwoso, Razali Hasan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
