IGEE Proceedings

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Navigating the Future of Higher Education: Embracing Change While Preserving the Relational Core of Learning: Shinki An; IGEE Proc. 2026;3(1):1-8. Published online February 23, 2026; DOI: https://doi.org/10.69841/igee.2026.006

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Driven by rapid technological innovations, global crises, and growing uncertainty about the role of universities in the 21st century, higher education is at a critical inflection point. This paper proposes a conceptual framework for understanding how these circumstances may be navigated, with a focus on the changing knowledge ecosystem, marked by exponential knowledge growth stemming from the rapid development of artificial intelligence (AI). While these changes offer important opportunities for enhanced learning, they also raise significant ethical and educational concerns that must be addressed. Throughout these shifts, one element that remains unchanged is how humans learn in the context of relationships. Drawing on evidence from medical research and educational theory, this paper argues that social connection and communities of practice are fundamental for institutions that seek to use technology to support, rather than replace, the human connections that shape students into competent and ethical professionals.

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Scholarship at “Machine” Speed
Sarah Soyeon Oh
IGEE Proceedings.2026; 3(1): 14. CrossRef

Article

Technological Determinism in Smart Cities: AI’s Role in Urban Transformation and Workforce Disruption in Singapore: Jee Won Kim; IGEE Proc. 2025;2(1):20-30. Published online February 27, 2025; DOI: https://doi.org/10.69841/igee.2025.008

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Through the perspective of technological determinism, this study investigates the dual effects of artificial intelligence (AI) in Singapore's Smart Nation plan. Artificial intelligence has been incorporated into waste management, energy systems, and transportation to enhance resource efficiency and reduce carbon emissions, targeting positive impacts on Sustainable Development Goal (SDG) 11: Sustainable Cities and Communities. However, the development of AI has raised concerns about SDG 8: Decent Work and Economic Growth, as workforce disruptions disproportionately affect low-skilled employment. This essay critically assesses these trade-offs, highlighting the ethical and human factors that are frequently disregarded throughout technological advancements. It draws attention to the pressing need for legal frameworks that strike a balance between workforce inclusion, technological innovation, and ethical AI deployment by comparing data from before and after AI implementation. Additionally, it highlights how external factors–such as the infrastructure, regulatory policies, and public engagement–may alter the effectiveness and society impact of AI in smart cities. Through the suggested policies, this paper aims to guide nations around the world toward a sustainable, smart city while critically examining the setbacks and benefits of AI.; Summary

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