Method for Forming Linear Scales for Assessing Learning Outcomes with Control of the Adequacy of Indicator Variables

A. Maslak, A. Korobko
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Abstract

The purpose of the research is to construct a linear scale for assessing learning outcomes, and to assess the relevance of the indicator variables involved in the formation of the scale.Methods. An analysis of existing approaches to assessing competencies has shown that the most effective approach is the activity-based approach, which involves assessing competencies as a result of current, milestone and/or final control in a discipline or group of disciplines. For this, a scale is needed ‒ a measuring tool that allows you to assess the level of knowledge in a given competency. The quality of the measurement instrument was assessed within the framework of latent variable theory based on the Rasch model. We used the interactive environment “Measurement of Latent Variables, developed in the laboratory of objective measurements of Kuban State University, and the RUMM 2020 software, which is widely used in our country for processing student testing results.Results. For the universal competence Able to manage one’s time, build and implement a trajectory of self-development based on the principles of lifelong education, software and a pool of test tasks have been developed. Using latent variable theory, the validity of a linear scale for this competency was tested. Linear scale indicators have been identified that most adequately characterize the quality of knowledge level assessment, and indicators with the greatest and least sensitivity to the level of knowledge in this competency have been identified.Conclusion. The developed linear scale for assessing learning outcomes was used to measure the level of development of the universal competence UC-6 among students of Kuban State University. The results obtained are necessary for monitoring the formation of the UC-6 competence and for determining the factors influencing the formation of this competence.
形成线性量表以评估学习成果并控制指标变量适当性的方法
研究的目的是构建评估学习成果的线性量表,并评估形成量表所涉及的指标变量的相关性。对现有能力评估方法的分析表明,最有效的方法是以活动为基础的方法,即把能力评估作为一门学科或一组学科的当前、里程碑和/或最终控制的结果。为此,需要一个量表--一种可以评估特定能力知识水平的测量工具。我们在基于 Rasch 模型的潜变量理论框架内对测量工具的质量进行了评估。我们使用了库班国立大学客观测量实验室开发的互动环境 "潜在变量测量 "和 RUMM 2020 软件,该软件在我国广泛用于处理学生测试结果。针对 "能够管理自己的时间,根据终身教育原则建立和实施自我发展轨迹 "这一通用能力,开发了软件和测试任务库。利用潜变量理论,对这一能力的线性量表的有效性进行了测试。已确定了最能充分表征知识水平评估质量的线性量表指标,并确定了对该能力知识水平最敏感和最不敏感的指标。所开发的学习成果评估线性量表用于衡量库班国立大学学生普遍能力 UC-6 的发展水平。所获得的结果对于监测 UC-6 能力的形成和确定影响该能力形成的因素非常必要。
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