关于人工智能领域未来信息学教师专业培训内容变化的必要性

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2020-07-04 DOI:10.32517/0234-0453-2020-35-4-12-26

K. V. Rozov

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引用次数: 2

摘要

本文考察了人工智能教师培训的现状。分析了俄罗斯师范大学课程中人工智能相关学科的内容。考虑了俄罗斯和国外用于人工智能技术发展的软件工具选择的当前趋势。本文的目的是在考虑到当前人工智能技术发展趋势和联邦州教育标准要求的情况下，证实审查未来人工智能信息学教师培训内容的必要性。从学习专家系统、Prolog和Lisp语言开始，作者建议继续学习使用Python编程语言实现人工智能技术的现代工具。文章提供了作者提出的在新西伯利亚国立师范大学进行测试的“人工智能技术”学科的内容。这样的内容变化旨在保证相关学科框架内教育过程的实践导向，提高未来信息学教师在现代高科技信息技术领域的能力，促进学习当前Python编程语言的动力发展，从而提高其在劳动力市场上的竞争力。

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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About the need to change the content of professional training of a future informatics teacher in artificial intelligence

The article examines the current state of teacher training in artificial intelligence. The content of disciplines related to artificial intelligence included in the curricula of pedagogical universities of Russia is analyzed. The current trends in the selection of software tools used for developments in artificial intelligence technologies in Russia and abroad are considered. The objective of the article is to substantiate the need to review the content of the training of a future informatics teacher in artificial intelligence, taking into account current trends in the development of artificial intelligence technologies and the requirements of Federal State Educational Standards. From studying expert systems, the Prolog and Lisp languages, the author suggests moving on to studying modern tools for implementing artificial intelligence technologies using the Python programming language. The article provides the content of the discipline “Technology of Artificial Intelligence” proposed by the author, being tested at the Novosibirsk State Pedagogical University. Such a change in the content is intended to ensure the practical orientation of the educational process within the framework of the relevant discipline, to increase the competence of the future informatics teacher in the field of modern high tech information technologies, to promote the development of motivation to learn the current Python programming language, thereby increasing its competitiveness in the labor market.

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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.