The Requirements for Heutagogical Attunement within STEAM Education

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Abstract

As we launch into an era marked by rapid technological advancements, education is experiencing disruptive transformations. Central to this shift is the integration of Artificial Intelligence (AI), predictive hybrid cloud strategies, and large language models (LLMs) like ChatGPT. As technology, AI becomes increasingly central to education; this paper explores the evolution of pedagogy in response to these changes, with a focus on the horizon. This investigation delves into the challenges and opportunities arising from the integration of AI, predictive hybrid cloud strategies, and LLMs into education, especially in the context of self-determined learning or heutagogy. The research looks into the role of collaboration, innovation, and adaptability in shaping curricula that prepare students for the fast-paced and dynamic landscape of the future, supported by AI, autonomous systems, and high-performance computing. The significance of problem-or project-based learning and cross-disciplinary collaboration is addressed, as this paper underscores the potential for preparing someone capable of future careers across various sectors. By integrating technology into education, the vision is of a globally connected, skilled, and innovative workforce ready to navigate a rapidly evolving world. Future research in this area might illuminate the potential of collaboration networks to drive sustainable improvements in learning and well-being.

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Heilala, J., Shibani, A., & de Freitas, A. G. (2023). The Requirements for Heutagogical Attunement within STEAM Education. International Journal of Emerging Technologies in Learning, 18(16), 19–35. https://doi.org/10.3991/ijet.v18i16.42313

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