The role of cloud technologies in digital transformation of education (on the example of secondary vocational education)

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2020-11-23 DOI:10.32517/0234-0453-2020-35-8-25-36

T. E. Kirikovich, A. Kolyshkina

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引用次数: 1

Abstract

The article describes the capabilities of cloud technologies (using the example of Google services) in implementing the target model of the digital educational environment and developing the first stage of digital transformation of education using the example of the general education course “Informatics” in secondary vocational education. The article substantiates the relevance of updating the content of educational programs of secondary vocational education in accordance with the requirements of the digital economy in the context of the implementation of Federal State Educational Standards of Secondary Vocational Education for 50 most demanded in the labor market, new and promising professions and specialties (FSES of Secondary Vocational Education for TOP-50). The novelty of the work in the context of digital transformation of secondary vocational education is shown. The relationships between the didactic capabilities of cloud technologies and the types of educational activities of students and the requirements of digital transformation of education are analyzed. A comparative analysis of the functional support of the components of the target model of the digital educational environment by means of cloud technologies is carried out. The experience of organizing the training of students of the Perm Commerce and Technology College in the groups of the profession “Cook, Pastry Chef” in the framework of the general educational discipline “Informatics” based on the use of cloud technologies as a model of a digital educational environment in the formation of general and subject competences is presented. In the presented experience, cloud technologies (Google services) are considered as the main and as an auxiliary didactic tool in the context of general functionality of Google services, types of didactic tasks for open source software, approximate thematic planning in the subject of “Informatics” for secondary vocational education. The results of the work can be useful to scientists, teachers and methodologists of higher and secondary vocational education, and can also be used directly by teachers of the course “Informatics” in secondary vocational education.

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云技术在教育数字化转型中的作用(以中等职业教育为例)

本文以中等职业教育的通识教育课程“信息学”为例，描述了云技术(以Google服务为例)在实现数字化教育环境目标模型和发展教育数字化转型第一阶段中的能力。本文在实施联邦国家中等职业教育标准的背景下，对劳动力市场最需要的50个新兴和有前途的职业和专业(TOP-50中等职业教育FSES)，根据数字经济的要求，更新中等职业教育教育计划的内容。在中等职业教育数字化转型的背景下，显示了工作的新颖性。分析了云技术的教学能力与学生的教育活动类型和教育数字化转型要求之间的关系。通过云技术对数字教育环境目标模型各组成部分的功能支持进行了对比分析。本文介绍了在通识教育学科“信息学”的框架下，利用云技术作为数字教育环境的模型，组织培训彼尔姆商业与技术学院学生在“厨师、糕点师”专业小组中的经验，以形成一般和学科能力。在本文的经验中，云技术(Google服务)在Google服务的一般功能、开源软件的教学任务类型、中等职业教育“信息学”主题的近似主题规划等方面被视为主要和辅助教学工具。本文的研究结果可以为高等职业教育的科学家、教师和方法论学家提供参考，也可以直接供中等职业教育“信息学”课程的教师使用。

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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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.