This paper investigates how and why a holistic learning environment, aligned with the principles of Education 5.0, and combining an Enterprise Resource Planning (ERP) system, Artificial Intelligence (AI) approaches, and a practice enterprise model, enhances learning outcomes, particularly for industrial engineering students. We begin by reviewing relevant studies on IT-focused industrial engineering learning environments and contrasting them with the traditional lecture-based methodology. Utilizing Bloom’s Taxonomy as a framework, we validate our study questions and guide the interpretation of our findings across the three learning domains: cognitive, emotional, and psychomotor. Subsequently, we present a case study comparing an ERP-based business model against the lecture-based approach. Following this, we analyze the learning objectives and discuss the underlying factors contributing to the observed improvements. Finally, we conclude by discussing the limitations, contributions, and offering recommendations for future research within the context of Education 5.0 and similar advanced learning paradigms.

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An Engineering Education 5.0: Creating Holistic Environment with EPR and AI

  • Wapee Manopiniwes,
  • Sainatee Chernbumroong,
  • Martin Tutko

摘要

This paper investigates how and why a holistic learning environment, aligned with the principles of Education 5.0, and combining an Enterprise Resource Planning (ERP) system, Artificial Intelligence (AI) approaches, and a practice enterprise model, enhances learning outcomes, particularly for industrial engineering students. We begin by reviewing relevant studies on IT-focused industrial engineering learning environments and contrasting them with the traditional lecture-based methodology. Utilizing Bloom’s Taxonomy as a framework, we validate our study questions and guide the interpretation of our findings across the three learning domains: cognitive, emotional, and psychomotor. Subsequently, we present a case study comparing an ERP-based business model against the lecture-based approach. Following this, we analyze the learning objectives and discuss the underlying factors contributing to the observed improvements. Finally, we conclude by discussing the limitations, contributions, and offering recommendations for future research within the context of Education 5.0 and similar advanced learning paradigms.