基于自动化监控评价系统的学校教育评价客观性研究

L. Tikhonova, S. Popova, S. N. Mironenko, P. Vakhrameev, M. E. Pitertsev
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摘要

介绍。本文着重探讨如何提高小学生学习成绩教育评价的客观性。这项研究的目的是证实在自动监测和评价系统的基础上提高教育评价的客观性。材料与方法。本研究采用跨学科的研究方法,以综合教育评估理论和设计自动化学习工具为特征。作者对提高评价客观性和开发自动化学习工具等问题采用了分析、综合、概括的理论研究方法。实证方法包括问卷调查、测试和教育行动研究。结果。指出了导致教育评估客观性下降的因素:评估的主观性和确定性,学生学习成绩的记录不一致,学生学习活动的纠正滞后。已经开发并实施了一个自动监测和评估系统,该系统包括信息的处理、分析和解释,并实时监测学生学习成果的动态。在系统的应用过程中,学生的学习投入、学习动机和情感态度等指标都发生了积极的变化。最显著的变化体现在以下指标:认知效率、学习动机和焦虑(高水平焦虑减少,动机和认知效率水平增加)。该系统的设计和实现基于组织、教育和技术条件。组织和教育条件包括将系统纳入评估过程结构的各种格式,而技术条件则规定了系统的要求。结论。自动监测和评估系统的引入有助于制定明确的教育评估标准,扩大建立个人学习轨迹的可能性,并增加学习过程的透明度。由于对学生的知识、技能和能力水平的要求明确,从而实现了评估的客观性;评估对象的说明;任务是否符合教育评估的目标;适时分析学习成果;提高小学生的学习动机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studying the objectivity of educational assessment in schools based on the system of automated monitoring and evaluation
Introduction. The article focuses on increasing the objectivity of educational assessment of schoolchildren’s learning achievements. The purpose of the research is to substantiate the increase in the objectivity of educational assessment on the basis of an automated monitoring and evaluation system. Materials and Methods. The study followed an interdisciplinary approach, characterized by integrative properties of educational assessment theory and designing automated learning tools. The authors used the following theoretical research methods: analysis, synthesis and generalization on the problems of improving the objectivity of assessment and the development of automated learning tools. Empirical methods included questionnaires, testing, and educational action research. Results. The factors contributing to the decrease in the objectivity of educational assessment are identified: the subjective and ascertaining nature of assessment, inconsistent recording of students’ academic performance, and delayed correction of students’ learning activities. A system of automated monitoring and evaluation has been developed and implemented, which includes processing, analysis and interpretation of information and monitors the dynamics of students’ learning achievements in real time. During the application of the system, positive changes in the indicators of students’ involvement, motivation and emotional attitude to learning were revealed. The most significant changes were observed in the following indicators: cognitive efficiency, learning motivation, and anxiety (a decrease in the high level of anxiety, an increase in the levels of motivation and cognitive efficiency). The design and implementation of the system were based on organizational, educational and technical conditions. The organizational and educational conditions include various formats for incorporating the system in the structure of the assessment process, while the technical ones set the requirements for the system. Conclusions. The introduction of the automated monitoring and evaluation system contributes to formulating clear criteria for educational assessment, expanding the possibilities for building individual learning trajectories, and increasing the transparency of learning process. The objectivity of the assessment is realized due to the clarity of the requirements for the level of knowledge, skills and abilities of students; specification of the objects of assessment; compliance of the tasks with the goals of educational assessment; well-timed analysis of learning outcomes; and increasing primary schoolchildren’s motivation for learning.
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