An Immersive Learning Factory for AI & Data Literacy: An Exploratory Study in the Wild

Shih-Hsiung Liu, Thimo Schulz, Peyman Toreini, A. Maedche
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Abstract

Artificial Intelligence (AI) has already made a strong impact on business and private life. Nonetheless, understanding how AI works and which role data plays in this context still remains unclear for many people. We argue that students with non-technical backgrounds should build up AI & data literacy to understand the key concepts of AI & data and leverage its potential in their field of study and research. For this purpose, we present the concept of an immersive learning factory, where students can explore AI & data concepts with interactive and immersive technologies. In this paper, we demonstrate our overarching idea, as well as the results of our exploratory evaluation with industrial engineering & management students from a data science lecture. Our main contribution includes the conceptual framework of the immersive learning factory, as well as design guidelines for creating immersive learning experiences concluded from the evaluation.
人工智能和数据素养的沉浸式学习工厂:野外探索性研究
人工智能(AI)已经对商业和私人生活产生了强大的影响。尽管如此,许多人仍然不清楚人工智能是如何工作的,以及数据在这种情况下扮演的角色。我们认为,非技术背景的学生应该建立人工智能和数据素养,以理解人工智能和数据的关键概念,并利用其在他们的学习和研究领域的潜力。为此,我们提出了沉浸式学习工厂的概念,学生可以通过互动和沉浸式技术探索人工智能和数据概念。在本文中,我们展示了我们的总体思想,以及我们与数据科学讲座上的工业工程与管理学生进行探索性评估的结果。我们的主要贡献包括沉浸式学习工厂的概念框架,以及从评估中得出的创建沉浸式学习体验的设计指南。
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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