Lifelong learning challenges in the era of artificial intelligence: a computational thinking perspective
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ID: 281940
2024
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Abstract
The rapid advancement of artificial intelligence (AI) has brought significant
challenges to the education and workforce skills required to take advantage of
AI for human-AI collaboration in the workplace. As AI continues to reshape
industries and job markets, the need to define how AI literacy can be
considered in lifelong learning has become increasingly critical (Cetindamar et
al., 2022; Laupichler et al., 2022; Romero et al., 2023). Like any new
technology, AI is the subject of both hopes and fears, and what it entails
today presents major challenges (Cugurullo \& Acheampong, 2023; Villani et al.,
2018). It also raises profound questions about our own humanity. Will the
machine surpass the intelligence of the humans who designed it? What will be
the relationship between so-called AI and our human intelligences? How could
human-AI collaboration be regulated in a way that serves the Sustainable
Development Goals (SDGs)? This paper provides a review of the challenges of
lifelong learning in the era of AI from a computational thinking, critical
thinking, and creative competencies perspective, highlighting the implications
for management and leadership in organizations.
| Reference Key |
romero2024lifelong
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|---|---|
| Authors | Margarida Romero |
| Journal | arXiv |
| Year | 2024 |
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