Contextualizing AI Education for K-12 Students to Enhance Their Learning of AI Literacy Through Culturally Responsive Approaches.

IF 2.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Kunstliche Intelligenz Pub Date : 2021-01-01 Epub Date: 2021-08-06 DOI:10.1007/s13218-021-00737-3

Amy Eguchi, Hiroyuki Okada, Yumiko Muto

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引用次数: 27

Abstract

AI has become ubiquitous in our society, accelerated by the speed of the development of machine learning algorithms and voice and facial recognition technologies used in our everyday lives. Furthermore, AI-enhanced technologies and tools are no strangers in the field of education. It is more evident that it is important to prepare K-12 population of students for their future professions as well as citizens capable of understanding and utilizing AI-enhanced technologies in the future. In response to such needs, the authors started a collaborative project aiming to provide a K-12 AI curriculum for Japanese students. However, the authors soon realized that it is important to contextualize the learning experience for the targeted K-12 students. The paper aims at introducing the idea of contextualizing AI education and learning experience of K-12 students with examples and tips using the work-in-progress version of the contextualized curriculum using culturally responsive approaches to promote the awareness and understanding of AI ethics among middle school students.

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情境化K-12学生的人工智能教育，通过文化响应方法提高他们对人工智能素养的学习。

人工智能在我们的社会中已经无处不在，这得益于我们日常生活中使用的机器学习算法、语音和面部识别技术的发展速度。此外，人工智能增强的技术和工具在教育领域并不陌生。更明显的是，让K-12学生为未来的职业做好准备，让他们成为能够理解和利用未来人工智能增强技术的公民，这一点很重要。为了满足这些需求，作者启动了一个合作项目，旨在为日本学生提供K-12人工智能课程。然而，作者很快意识到，将目标K-12学生的学习经历置于背景中是很重要的。本文旨在介绍情境化人工智能教育和K-12学生学习经验的想法，并使用正在进行的情境化课程版本的示例和提示，使用文化响应方法促进中学生对人工智能伦理的认识和理解。

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来源期刊

Kunstliche Intelligenz COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

8.60

自引率

3.40%

发文量

期刊介绍： Artificial Intelligence has successfully established itself as a scientific discipline in research and education and has become an integral part of Computer Science with an interdisciplinary character. AI deals with both the development of information processing systems that deliver “intelligent” services and with the modeling of human cognitive skills with the help of information processing systems. Research, development and applications in the field of AI pursue the general goal of creating processes for taking in and processing information that more closely resemble human problem-solving behavior, and to subsequently use those processes to derive methods that enhance and qualitatively improve conventional information processing systems. KI – Künstliche Intelligenz is the official journal of the division for artificial intelligence within the ''Gesellschaft für Informatik e.V.'' (GI) – the German Informatics Society – with contributions from the entire field of artificial intelligence. The journal presents fundamentals and tools, their use and adaptation for scientific purposes, and applications that are implemented using AI methods – and thus provides readers with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. A highly reputed team of editors from both university and industry will ensure the scientific quality of the articles.The journal provides all members of the AI community with quick access to current topics in the field, while also promoting vital interdisciplinary interchange, it will as well serve as a media of communication between the members of the division and the parent society. The journal is published in English. Content published in this journal is peer reviewed (Double Blind).