Learning Assessment: A Closed-Loop Control Metaphor

IF 1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Liliana Fernández-Samacá;Sonia E. Díaz-Márquez
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引用次数: 0

Abstract

This article proposes a learning assessment model that enables staff to systematize information analysis from learning and teaching scenarios for curriculum evaluation. The learning assessment is represented as a closed-loop control system, with students at the center of the process, staff as the actuator, and students’ impressions and assessment instruments as the sensors. By a matrixial interpretation of curricular mapping for learning assessment. The collected information is represented as course indicators, which are used to calculate learning outcome indicators as the system’s output. In this model, the curricular mapping of the program is represented by a weighted contributions matrix called the ‘program matrix,’ whose coefficients denote the different levels or contributions of the courses to the learning outcomes. Thus, learning outcome indicators are obtained as a linear combination of the weighted contributions to the course. This article also presents an example illustrating the application of the model, in which data from over 12 semesters are analyzed for two engineering programs. We discuss the way in which this model simplifies data acquisition and provides a scalable solution for learning assessment management in curriculum evaluation and warn of the importance of establishing curricular alignment in the curricular mapping and course design stages for the success of the learning assessment.
学习评估:一个闭环控制的隐喻
本文提出了一个学习评估模型,使教职员能够从学与教的场景中系统化地分析信息,进行课程评估。学习评估表现为一个闭环控制系统,学生是过程的中心,工作人员是执行器,学生的印象和评估工具是传感器。通过对教材的解读,将课程映射用于学习评价。收集到的信息被表示为课程指标,用于计算学习成果指标,作为系统的输出。在这个模型中,课程的课程映射由一个称为“课程矩阵”的加权贡献矩阵表示,其系数表示课程对学习结果的不同水平或贡献。因此,学习成果指标是对课程的加权贡献的线性组合。本文还举例说明了该模型的应用,其中分析了两个工程专业超过12个学期的数据。我们讨论了该模型简化数据获取的方式,并为课程评估中的学习评估管理提供了可扩展的解决方案,并警告了在课程映射和课程设计阶段建立课程一致性对于学习评估的成功的重要性。
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
CiteScore
4.30
自引率
0.00%
发文量
45
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