破坏性创新:人工智能教学过程中的宝贵经验

R. Costaguta, N. Salazar
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引用次数: 0

摘要

由Covid-19引起的大流行影响了世界各地的所有教育水平。一些国家为其居民设立了禁闭期,这导致许多教师根据虚拟发展调整他们的课程。这种适应在许多情况下减少到通过为面对面环境设计的内容的数字化来产生快速和紧急响应,例如,通过视频会议进行课程,重新设计在虚拟环境中解决的活动,以及解决在线问卷。然而,本文提出了一个专门为虚拟而设计的大学课程空间的适应性。它是关于人工智能学科的教育创新,旨在利用web 3.0工具的潜力,减轻非面对面课程的不便。所获得的结果突出了这一倡议的创新学术价值,以及它的可转移性和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disruptive Innovation: A valuable experience in the teaching and learning process of Artificial Intelligence
The pandemic caused by Covid-19 affected all educational levels throughout the world. Several countries established periods of confinement for their inhabitants, and this led many teachers to adapt their courses for virtual development. This adaptation reduced in many cases to generating a rapid and emergency response through the digitization of what designed for a face-to-face environment, for example, with classes through videoconferences, redesigning activities to solve in a virtual environment, and solving online questionnaires. However, this article presents the adaptation of a university curricular space, specially designed for virtuality. It's about the educational innovation carried out on the Artificial Intelligence subject, which designed to take advantage of the potential of web 3.0 tools and mitigate the inconveniences of non-face-to-face classes. The results obtained highlight the innovative academic value of this initiative, and its transferability and sustainability over time.
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