计算机科学
杠杆(统计)
工厂(面向对象编程)
探索性研究
背景(考古学)
读写能力
数据科学
知识管理
人机交互
人工智能
心理学
教育学
社会学
古生物学
程序设计语言
生物
人类学
作者
Shi Liu,Thimo Schulz,Peyman Toreini,Alexander Maedche
标识
DOI:10.1145/3603555.3608564
摘要
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.
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