Minh Tung Tran

Universities in emerging economies are increasingly asked not only to teach entrepreneurship but to build the ecosystems in which it can be practised. Drawing on 189 semi-structured interviews and four case studies of Vietnamese university business incubators (UBIs), this study examines how entrepreneurship education curricula are translated, through university-centred entrepreneurial ecosystems, into venture creation. Using an extended Triple Helix lens, I trace the operational mechanisms — curriculum design, mentorship pipelines, technology transfer and funding relationships — that connect classroom learning to incubation outcomes, and identify where government and international development actors already function as informal fourth-helix partners. Findings show that ecosystems anchored in explicit entrepreneurship curricula outperform those relying on incubation infrastructure alone, although funding gaps, mentorship shortages and regulatory ambiguity persist. I offer policymakers and university administrators a practical agenda for embedding entrepreneurship education within collaborative, multi-actor ecosystems.

This research proposes an innovative AI-driven educational psychology model, the AI-EcoCollaborative Educational Psychology Model, to foster pro-environmental behaviors in Education 5.0. By integrating AI technologies with educational psychology principles, the model aims to create personalized, engaging, and interactive learning experiences that promote environmental awareness and action. The model incorporates various components, including personalized interventions, virtual reality simulations, and ethical considerations, to ensure effective and responsible implementation. Through case studies and future directions, the research explores the potential of AI-driven educational psychology in shaping a sustainable future.

This research investigates the potential of social media for disseminating environmental information generated by AI-driven geospatial technologies. It explores how these technologies can be leveraged to communicate environmental issues to a broader audience and examines the factors influencing the effectiveness of social media-based communication. Case studies analyze successful implementations of social media for environmental communication, highlighting best practices and lessons learned. The research identifies emerging trends in AI and social media integration, exploring the potential for a more democratized approach to environmental information generation and dissemination. The conclusion emphasizes the critical role of social media in raising public awareness of environmental challenges and fostering informed decision-making.