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1981
Volume 17, Issue 2
  • ISSN: 1753-5190
  • E-ISSN: 1753-5204

Abstract

In seeking to extend humanity’s long-term future, several reports from UNESCO have called for the re-purposing of education in order to catalyse cultural change across the world. Ideally, this would entail re-imagining education’s deep ecological purpose. But this means acknowledging that universities emerged from two separate traditions that see the purpose of learning very differently. In the atelier culture of artisanship, tacit and embodied practices of learning are the norm. By contrast, the dominant tradition is more scholastic and bookish and therefore focuses more on language-based knowledge that is able to be written. One way to achieve the change that UNESCO seeks is to encourage more creative and opportunity-finding approaches. This would mean encouraging thinking processes that are more imaginative and future-oriented, and less embedded in extant knowledge. Of course, this would make it harder to retain the traditional emphasis on fairness and transparency over curiosity and learning. Recently the task also became even more challenging when mainstream institutions decided to normalise the use of AI systems as an adjunct to traditional learning. In seeking ways to reconcile all of the above issues, this article calls for a radical revisioning of the term ‘wisdom’. A suitably revised definition (known as ‘Wisdom’) would need to be much broader, holistic, pluralistic, ecosystemic and, therefore, less anthropocentric.

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2026-03-18
2026-04-22

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References

  1. Baker, R. S. and Hawn, A. (2022), ‘Algorithmic bias in education’, International Journal of Artificial Intelligence in Education, 32:4, pp. 105292, https://doi.org/10.1007/s40593-021-00285-9.
    [Google Scholar]
  2. Carney, S. (2022), Reimagining Our Futures together: A New Social Contract for Education, Paris: UNESCO.
    [Google Scholar]
  3. Cellan-Jones, R. (2014), ‘Stephen Hawking warns artificial intelligence could end mankind’, BBC, 2 December, https://www.bbc.co.uk/news/technology-30290540. Accessed 20 October 2025.
  4. Cross, L., Atherton, G. and Nicolson, R. I. (2024), ‘People with dyslexia or dyscalculia are less biased: Results of a preregistered study from over 450,000 people on the implicit association test’, Neurodiversity, 2, https://doi.org/10.1177/27546330241288164.
    [Google Scholar]
  5. Ehrig, T. and Foss, N. J. (2022), ‘Unknown unknowns and the treatment of firm-level adaptation in strategic management research’, Strategic Management Review, 3:1, pp. 124, https://doi.org/10.1561/111.00000035.
    [Google Scholar]
  6. Goleman, D. (2001), ‘Emotional intelligence: Issues in paradigm building’, The Emotionally Intelligent Workplace, 13, p. 26.
    [Google Scholar]
  7. Ljubec, Ž. (2022), ‘Becoming polyphibious’, in J. Wood (ed.), Metadesigning Designing in the Anthropocene, Abingdon: Routledge, pp. 21930.
    [Google Scholar]
  8. Lockheart, J. (2022), Languaging Design: In Metadesigning Designing in the Anthropocene, Abingdon: Routledge.
    [Google Scholar]
  9. McGilchrist, I. (2009), The Master and His Emissary: The Divided Brain and the Making of the Western World, New Haven, CT: Yale University Press.
    [Google Scholar]
  10. Nelson, T. H. (2015), ‘What box?’, in D. R. Dechow and D. C. Struppa (eds), Intertwingled: The Work and Influence of Ted Nelson, Cham: Springer, pp. 13350.
    [Google Scholar]
  11. Polanyi, M. (1962), ‘Tacit knowing: Its bearing on some problems of philosophy’, Reviews of Modern Physics, 34:4, p. 601, https://doi.org/10.1103/RevModPhys.34.601.
    [Google Scholar]
  12. Robinson, K. and Aronica, L. (2016), Creative Schools: The Grassroots Revolution That’s Transforming Education, London: Penguin Books.
    [Google Scholar]
  13. Scarfe, P., Watcham, K., Clarke, A. and Roesch, E. (2024), ‘A real-world test of artificial intelligence infiltration of a university examinations system: A “Turing Test” case study’, PloS One, 19:6, https://doi.org/10.1371/journal.pone.0305354.
    [Google Scholar]
  14. Surowiecki, J. (2005), The Wisdom of Crowds, London: Vintage.
    [Google Scholar]
  15. Turnipseed, S. and Darling-Hammond, L. (2015), ‘Accountability is more than a test score’, Education Policy Analysis Archives, 23:11, p. 11, https://doi.org/10.14507/epaa.v23.1986.
    [Google Scholar]
  16. Von Uexküll, J. (2010), ‘The theory of meaning’, in D. Favareau (ed.), Essential Readings in Biosemantics: Anthology and Commentary, Cham: Springer, pp. 81114.
    [Google Scholar]
  17. ‘wisdom’ (n.d.), Cambridge Online Dictionary, https://dictionary.cambridge.org/dictionary/english/wisdom#google_vignette. Accessed 12 September 2025.
  18. Wittengenstein, L. (1963), Tractatus Logico-Philosophicus, London: Routledge & Kegan Paul.
  19. Wood, J. (2000), ‘The culture of academic rigour: Does design research really need it?’, The Design Journal, 3:1, pp. 4457, https://doi.org/10.2752/146069200789393599.
    [Google Scholar]
  20. Wood, J. (2012), ‘In the cultivation of research excellence, is rigour a no-brainer?’, Journal of Writing in Creative Practice, 5:1, pp. 1126, https://doi.org/10.1386/jwcp.5.1.11_1.
    [Google Scholar]
  21. Reese, B. (2018), The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity, New York: Atria Books.
    [Google Scholar]
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