Engineering Education Transformation for Education 5.0: Developing an Evidence-Based Transformation Framework Through Bibliometric and Systematic Literature Analysis

Education 5.0 requires transforming engineering education to equip future engineers with technological, human-centered, and adaptive learning competencies. However, research remains fragmented across curriculum reform, artificial intelligence (AI), pedagogy, assessment, and competency development. This study develops an evidence-based Engineering Education 5.0 framework by identifying research trends, conceptual relationships, and transformation dimensions. A mixed systematic approach combining bibliometric analysis of 198 publications from 2022–2026 with thematic synthesis of 12 selected studies was employed. Bibliometric mapping identified five interconnected dimensions: curriculum transformation, AI-driven education, pedagogical innovation, assessment reform, and future engineering competencies. The findings indicate that AI, particularly Generative AI, supports adaptive learning, personalized instruction, and collaborative problem-solving, but requires ethical governance and human-centered implementation. Experiential, collaborative, and gamified learning enhance engagement and higher-order thinking, while assessment should emphasize authentic and competency-based evaluation. The proposed framework integrates AI literacy, systems thinking, sustainability, ethics, collaboration, and lifelong learning to develop future-ready engineers.

Hali tarjima qilinmagan