个人教育轨迹的机遇与风险(IET)

IF 2.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI:10.18254/s207751800025887-4
Elena Degteva
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引用次数: 0

摘要

个体教育轨迹(Individual educational trajectory, IET)是一个历史上与教育学和教育组织领域相关的概念。IET的理念是将教育过程集中在每个学生的独特能力、兴趣和需求上。本文从IET的发展历史、其原理和对俄罗斯教育的展望,以及在教育实践中存在的问题和可能的解决方法等方面进行了论述。在现代社会,变化和科技发展的速度不断加快,考虑每个学生的个性化需求是至关重要的。IET是一种有效的工具,可以在现代条件下定性地提高教育效率,帮助学生全面发展。然而,在教育实践中实施IET也伴随着一定的风险。其中之一是学生可能只选择他们感兴趣的科目,这可能导致缺乏必要的知识和技能。另一个风险是可能形成分散的知识,这些知识不能满足系统需求,也不能相互联系。然而,IET无疑是一个很有前途的概念,可以推动教育的创新变革。
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Opportunities and Risks of Individual Educational Trajectories (IET)
Individual educational trajectory (IET) is a concept that has been relevant in the field of pedagogy and education organization throughout history. The idea behind IET is to center educational processes around the unique abilities, interests, and needs of each student. This article discusses some facts from the history of IET, its principles and prospects for Russian education, as well as problems associated with its implementation in education practice and possible ways to overcome them. In modern society, where the speed of change and technological development is constantly increasing, it is critical to consider the individual needs of each student. IET is an effective tool that can qualitatively improve the efficiency of education in modern conditions and help students develop comprehensively. However, the implementation of IET in education practice is accompanied by certain risks. One of them is the possibility for students to choose only those subjects that interest them, which can lead to a lack of necessary knowledge and skills. Another risk is the possibility of forming scattered knowledge that will not meet systemic requirements and will not be interconnected. Nevertheless, IET is undoubtedly a promising concept that can give impetus to innovative changes in education.
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来源期刊
CiteScore
7.40
自引率
9.50%
发文量
16
审稿时长
21 weeks
期刊介绍: The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.
期刊最新文献
Social Identity and Organizational Control: Results of an Agent-Based Simulation Unpacking a Black Box: A Conceptual Anatomy Framework for Agent-Based Social Simulation Models Conditions and Effects of Norm Internalization A Methodology to Develop Agent-Based Models for Policy Support Via Qualitative Inquiry Using Machine Learning for Agent Specifications in Agent-Based Models and Simulations: A Critical Review and Guidelines
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