人工智能时代培养儿童数据代理和创造能力的教学框架

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2024-01-26 DOI:10.15388/infedu.2024.15

J. Kahila, Henriikka Vartiainen, M. Tedre, Eetu Arkko, Anssi Lin, Nicolas Pope, I. Jormanainen, Teemu Valtonen

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引用次数: 0

摘要

将人工智能（AI）主题纳入 K-12 学校课程是一个相对较新的课题，但也是全球教育系统面临的关键挑战。由于严重缺乏帮助教师教授人工智能的课程材料和工具，应对这一挑战的尝试受到了阻碍。本文介绍了在人工智能教育中实施共同设计项目的理论基础和设计原则，并在 12 个芬兰教室中进行了实证测试。文章介绍了一个四年级和七年级学生（N = 213）通过创建自己的人工智能驱动应用程序来探索人工智能基础知识的项目。此外，文章还介绍了一个分布式支架框架，旨在培养人工智能时代儿童的能动性、理解力、创造力和道德意识。

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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Pedagogical framework for cultivating children's data agency and creative abilities in the age of AI

The integration of artificial intelligence (AI) topics into K–12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and design principles for implementing co-design projects in AI education, empirically tested in 12 Finnish classrooms. The article describes a project where 4th- and 7th-graders (N = 213) explored the basics of AI by creating their own AI-driven applications. Additionally, a framework for distributed scaffolding is presented, aiming to foster children's agency, understanding, creativity, and ethical awareness in the age of AI.

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来源期刊

Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.10

自引率

3.70%

发文量

审稿时长

20 weeks

期刊介绍： INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.