计算机科学
背景(考古学)
科学素养
过程(计算)
阅读(过程)
数学教育
读写能力
类比
实施
科学教育
人工智能
心理学
教育学
软件工程
社会学
程序设计语言
认识论
古生物学
哲学
政治学
法学
生物
作者
Martin Kandlhofer,Gerald Steinbauer,Sabine Hirschmugl-Gaisch,Petra Huber
标识
DOI:10.1109/fie.2016.7757570
摘要
Artificial Intelligence (AI) already plays a major role in our daily life (e.g. intelligent household appliances like robotic vacuum cleaners or AI-based applications like Google Maps, Google Now, Siri, Cortana, ...). Sound knowledge about AI and the principles of computer science will be of vast importance for future careers in science and engineering. Looking towards the near future, jobs will largely be related to AI. In this context literacy in AI and computer science will become as important as classic literacy (reading/writing). By using an analogy with this process we developed a novel AI education concept aiming at fostering AI literacy. The concept comprises modules for different age groups on different educational levels. Fundamental AI/computer science topics addressed in each module are, amongst others, problem solving by search, sorting, graphs and data structures. We developed, conducted and evaluated four proof-of-concepts modules focusing on kindergarten/primary school as well as middle school, high school and university. Preliminary results of the pilot implementations indicate that the proposed AI education concept aiming at fostering AI literacy works.
科研通智能强力驱动
Strongly Powered by AbleSci AI