Addressing Challenges in Educating Talents in the Digital Era

Lily Sun (), Jingshu Ji and Kecheng Liu ()
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Lily Sun: University of Reading
Jingshu Ji: Beijing University of Technology
Kecheng Liu: University of Reading

A chapter in LISS 2024, 2025, pp 1147-1154 from Springer

Abstract: Abstract In today's rapidly evolving digital landscape, evidence and literature consistently underscore the added value of artificial intelligence (AI) in enhancing productivity and fostering business competitiveness. This poses a challenge to the university system, as the industry demands graduates with qualities and competences that align with this new environment. Traditional models of university education must be shifted, requiring changes in curricula, teaching and learning methods, and technologies, as well as critical shifts in underlying learning paradigms. University education must prepare for the new possibilities offered by these available means and technologies, ensuring increased efficiency in learning and enhanced quality of work, while also ensure students acquire the expected knowledge, skills, and competencies. Constructivist paradigms and authentic learning have increasingly garnered attention in university teaching and learning, demonstrating significant benefits. This paper will present, analyse and share insights and successful practices in this regard.

Keywords: Artificial intelligence; AI as productivity; Authentic learning; Constructivist learning; Digital technologies (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-9697-0_87

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