Formation of professional readiness of future informatics teachers for using artificial intelligence technologies

K. V. Rozov
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Abstract

The article presents the organizational and pedagogical conditions for training future informatics teachers for using modern artificial intelligence technologies. Their implementation made it possible to modernize the process of mastering artificial intelligence technologies by students through changing the content of the academic discipline, aimed at developing the skills and ideas of the future informatics teacher in the field of artificial intelligence, ensuring the inclusion in the educational process of creating individual learning trajectories. Criteria as well as evaluation and diagnostic tools for determining the level of professional readiness are given. The main results of experimental work on approbation of organizational and pedagogical conditions through the implementation of the author’s experimental practice-oriented course “Artificial intelligence technologies”, introduced into the educational process of Novosibirsk State Pedagogical University, are presented. The experiment involved 127 bachelor students of the 3rd and 4th years of the directions 44.03.01 “Pedagogical education” and 44.03.05 “Pedagogical education (with two training profiles)”, profiles: “Informatics and Information and Communication Technologies”, “Informatics and Information and Communication Technologies and Economic Education”, “Mathematics and Informatics”, “Physics and Informatics”. The experiment was conducted from 2018 to 2021 (4 academic years) and showed the effectiveness of using the identified organizational and pedagogical conditions for the professional training of future informatics teachers in the use of artificial intelligence technologies. The results of the study may be of interest to university teachers who provide professional training for students of non-core specialties in the field of artificial intelligence, and researchers studying the issues of professional training of teachers in the application of artificial intelligence technologies in education.
培养未来信息学教师运用人工智能技术的专业素养
文章介绍了培养使用现代人工智能技术的未来信息学教师的组织和教学条件。它们的实施使学生掌握人工智能技术的过程现代化成为可能,通过改变学科的内容,旨在培养人工智能领域未来信息学教师的技能和思想,确保将其纳入创造个人学习轨迹的教育过程。给出了确定专业准备水平的标准以及评估和诊断工具。本文介绍了作者在新西伯利亚国立师范大学的教学过程中,通过实施以实验实践为导向的课程《人工智能技术》,对组织条件和教学条件审批的实验工作的主要结果。实验对象为44.03.01“教育学教育”和44.03.05“教育学教育(分两个培养方向)”方向的三、四年级本科生127名,培养方向为“信息学与信息通信技术”、“信息学与信息通信技术与经济教育”、“数学与信息学”、“物理与信息学”。该实验于2018年至2021年(4个学年)进行,并显示了利用确定的组织和教学条件对未来信息学教师进行人工智能技术专业培训的有效性。对于为人工智能领域非核心专业学生提供专业培训的大学教师,以及研究人工智能技术在教育中的应用中教师专业培训问题的研究人员来说,本研究的结果可能会引起他们的兴趣。
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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