以1C公司的云解决方案为基础,为实施系统方法的专家准备

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH
O. G. Apolov, O. O. Apolova
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引用次数: 0

摘要

本文确定了系统方法在经济对象管理领域的专家培训中的重要性。尽管拥有经济和管理领域文凭的大学毕业生人数众多,但近年来,合格的专业人才普遍短缺。即使是成功的毕业生,在经济和管理领域拥有足够多的理论知识,也不能应用这些知识来解决现代商业的实际问题。造成这种情况的主要原因是,在许多教育机构中,课程设置是在不同学期中阅读的一套学科,而没有考虑到它们之间的相互关系,也没有考虑到职业教育的主要目标功能,即培养专家。在教育机构服务的主要“消费者”是小型和微型企业的地区,这一问题尤其严重,这需要在广泛使用信息技术的基础上掌握广泛的实践能力。最重要的是,根据作者的观点,本文阐述了小微企业作为大多数经济院校毕业生的潜在雇主对潜在员工的要求。这项工作是基于使用云服务edu的经验。从1C公司引进,以实行系统的方法培训经济和管理领域的专家。在大流行病限制期间,该服务的能力表现得尤为突出,由于重新分配了讲座和实践课程,使用该服务可以保持甚至在一定程度上提高培训的有效性。服务作为形成实际业务流程模型的技术基础,并且是收集在特定学科研究中获得的知识的中心。本文论述了利用edu组织各种形式的教育活动的方法。1 . fresh服务于培养“管理学”和“经济学”方向学士学位的过程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud solutions of 1C company as a basis for implementation of a system approach in the preparation of a specialist
The article determines the relevance of a system approach in the training of a specialist in the field of managing economic objects. Despite the huge number of university graduates with diplomas in the field of economics and management, in recent years there has been a widespread deficit of qualified specialists. Even successful graduates, possessing a sufficiently large amount of theoretical knowledge in the field of economics and management, are not able to apply this knowledge to solve practical problems of modern business. The main reason for this is the creation of curricula in many educational institutions as a set of disciplines read in different semesters without taking into account their interrelationships and without reference to the main target function of vocational education that is the formation of a specialist. This problem is especially acute in regions where the main “consumers” of educational institutions’ services are mini- and microbusiness, which requires mastering a wide range of practice oriented competencies based on the widespread use of information technologies. The most important, according to the authors, the requirements of mini- and microbusiness, as a potential employer of most graduates of educational institutions of economic profile, to potential employees, are formulated in the article. The work is based on the experience of using the cloud service edu.1CFresh from the 1C company in order to implement a system approach in training specialists in the field of economics and management. The capabilities of the service showed themselves especially brightly during the period of pandemic restrictions, the use of the service made it possible to maintain and even to some extent increase the effectiveness of training due to the redistribution of lectures and practical classes. The service acts as a technological basis for the formation of models of real business processes and is the center around which the knowledge gained in the study of special disciplines is collected. The article discusses the methods for organizing various forms of educational activities using the edu.1CFresh service in the process of training bachelors in “Management” and “Economics” directions.
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来源期刊
Informatics in Education
Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.10
自引率
3.70%
发文量
20
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.
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