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A conceptual framework for a symbiotic integration of generative AI in post-secondary technical and vocational education and training (TVET): Bridging pedagogy, technology, and ethics
[Un Cadre Conceptuel Pour L'Intégration Symbiotique De L'Ia Générative Dans L'Enseignement Et La Formation Professionnels Et Techniques (Efpt) Postsecondaires : Allier Pédagogie, Technologie Et Éthique]

Author

Listed:
  • Mounaim El Hayani

    (Kénitra - Ecole nationale de commerce et gestion Ibn Tofail)

  • Fatiha Benamar

    (Kénitra - Ecole nationale de commerce et gestion Ibn Tofail)

Abstract

Generative Artificial Intelligence (GenAI) is poised to reshape Post-Secondary Technical and Vocational Education and Training (TVET), a sector critical for aligning formal education with industry demands. While the potential of GenAI is widely discussed, the literature lacks a holistic framework to guide its strategic and ethically sound integration. This paper addresses this gap by synthesizing existing research to develop a novel conceptual model for the symbiotic integration of GenAI in TVET. This study employs an integrative literature review methodology. A purposive selection of recent, peer-reviewed literature (post-2020) was analyzed to synthesize key opportunities, such as hyper-personalized learning and immersive training, alongside significant systemic barriers, including infrastructural constraints, AI literacy gaps, and ethical risks. These insights were then structured into a multi-layered conceptual framework. The review identifies three core domains of GenAI's impact: the evolution of pedagogy from standardization to personalization, the enhancement of learner engagement, and the reconceptualization of skills assessment. To navigate the complexities of implementation, the paper proposes the «Integrated Symbiotic Model». This model reframes GenAI integration as a collaborative «teacher-machine-student» ecosystem, structured across four interdependent layers: (1) foundational enablers (infrastructure, policy, AI literacy), (2) the core triad of actors (learner, educator, AI), (3) core pedagogical processes, and (4) the central objective of enhanced workforce readiness. The primary contribution of this paper is the « Integrated Symbiotic Model », a novel framework designed to guide institutional leaders and educators in the strategic and ethically-grounded integration of GenAI. It moves beyond traditional technology adoption models to offer a pedagogically-focused, systemic roadmap for transforming TVET in the age of AI. Keywords: Integrated Symbiotic Model, Generative AI, TVET, Pedagogical Transformation, Learner Engagement, Skills Assessment.

Suggested Citation

  • Mounaim El Hayani & Fatiha Benamar, 2025. "A conceptual framework for a symbiotic integration of generative AI in post-secondary technical and vocational education and training (TVET): Bridging pedagogy, technology, and ethics [Un Cadre Con," Post-Print hal-05243404, HAL.
  • Handle: RePEc:hal:journl:hal-05243404
    Note: View the original document on HAL open archive server: https://hal.science/hal-05243404v1
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    References listed on IDEAS

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    1. Fadhli Ranuharja & Ganefri & Fahmi Rizal & Dean Langeveldt & Rachid Ejjami & Angel Torres-Toukoumidis & Nizwardi Jalinus, 2025. "Relevance and Impact of Generative AI in Vocational Instructional Material Design: A Systematic Literature Review," Salud, Ciencia y Tecnologia, AG Editor (Argentina), vol. 5, pages 1336-1336.
    2. Siti Raudhah M. Yusop & Mohamad Sattar Rasul & Ruhizan Mohammad Yasin & Haida Umiera Hashim, 2023. "Identifying and Validating Vocational Skills Domains and Indicators in Classroom Assessment Practices in TVET," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    3. Ester van Laar & Alexander J. A. M. van Deursen & Jan A. G. M. van Dijk & Jos de Haan, 2020. "Determinants of 21st-Century Skills and 21st-Century Digital Skills for Workers: A Systematic Literature Review," SAGE Open, , vol. 10(1), pages 21582440199, January.
    4. Zied Bahroun & Chiraz Anane & Vian Ahmed & Andrew Zacca, 2023. "Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis," Sustainability, MDPI, vol. 15(17), pages 1-40, August.
    5. Fadhli Ranuharja & Ganefri & Fahmi Rizal & Dean Langeveldt & Rachid Ejjami & Angel Torres-Toukoumidis & Nizwardi Jalinus, 2025. "Relevance and Impact of Generative AI in Vocational Instructional Material Design: A Systematic Literature Review," Salud, Ciencia y Tecnologia, AG Editor (Argentina), vol. 5, pages 1636-1636.
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