The Requirements for Heutagogical Attunement within STEAM Education

Q1 Social Sciences
Janne Heilala, A. Shibani, Adriano Gomes de Freitas
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引用次数: 0

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.
STEAM教育对启发式调教的要求
随着我们进入一个以快速技术进步为标志的时代,教育正在经历颠覆性的变革。这一转变的核心是人工智能(AI)、预测混合云策略和ChatGPT等大型语言模型(LLM)的集成。随着技术的发展,人工智能越来越成为教育的核心;本文以视野为中心,探讨了教育学在这些变化中的演变。这项调查深入探讨了将人工智能、预测性混合云策略和LLM整合到教育中所带来的挑战和机遇,特别是在自主学习或教育的背景下。这项研究探讨了协作、创新和适应性在形成课程中的作用,这些课程在人工智能、自主系统和高性能计算的支持下,为学生适应快节奏和动态的未来环境做好准备。本文强调了基于问题或项目的学习和跨学科合作的重要性,因为这篇论文强调了培养有能力在各个领域从事未来职业的人的潜力。通过将技术融入教育,我们的愿景是建立一支全球互联、技术娴熟、创新的劳动力队伍,为驾驭快速发展的世界做好准备。未来在这一领域的研究可能会阐明合作网络在推动学习和福祉可持续改善方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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