Enhancing higher education through Kaizen 4.0: bridging human and artificial intelligence through Kaizen methodologies

• Type: Article in International Conference Proceedings Book
• Date: 2025

Authors

Carneiro, Fátima (Author) Other; Suarez-Barraza, Manuel Francisco (Author) Other; Silveira, Teresa (Author) FLUP; Serôdio, Maria (Author) Other; Antony, Jiju (Author) Other

Conference proceedings International

Title: Advances in operational excellence in the higher education sector : Proceedings of the 7th International Conference on Lean Six Sigma for Higher Education Institutions and other Public Sector Organisations (ILSSforHEI 2024)

Pages: 110-122

7th International Conference on Lean Six Sigma for Higher Education Institutions and other Public Sector Organisations (ILSSforHEI 2024)

Galway, 2024

Indexing

Crossref

Other information

DOI: 10.1007/978-3-031-84816-2_9

Resumo (PT): Purpose: This research explores the interconnection of Kaizen methodologies and Artificial Intelligence (AI) to foster holistic learning in 21st-century higher education (HE). The goal is to leverage AI as a catalyst for expanding and transforming human skills in educational settings. Design/Methodology/Approach: The research employs a comprehensive literature review incorporating worldwide studies on the proposed topics, with a focus on implementing Kaizen methodologies in educational settings. Findings/Outcomes: The study reveals a synergistic relationship between Kaizen and AI, shaping educators’ comprehensive learning experiences. It collects insights present in the current literature regarding Kaizen, AI, and cognitive processes, and ties them together, showcasing Kaizen’s methodological principles, their contribution to leveraging AI in a HE setting, and how Kaizen methodologies contribute to integrating AI into daily teaching methodologies. Research Limitations/Implications: The generalizability of findings may be affected by cultural and geographical variations, as certain geographical regions may not be included in the sample. Future research should explore tailored implementation strategies and conduct comprehensive evaluations. Practical Implications: Provides evidence-based insights to understand trends in educational practices toward knowledge development on the academic side and a growth adoption of Kaizen practices to enhance teaching and learning experiences via the strategic integration of AI tools. Social Implications: The integration can lead to social benefits such as improved access to personalized learning, enhanced research capabilities, and increased collaboration between academia and industry. Originality/Value: This research offers a comprehensive exploration of the intersection between Kaizen methodologies and AI in HE, a topic not widely addressed yet in the literature.

Language: English

Type (Professor's evaluation): Scientific