Formative criterion-based assessment for Moodle quizzes using intelligent computing

M. G. Sánchez-Torrubia, C. Torres-Blanc, G. Triviño
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引用次数: 1

Abstract

This paper describes the use of the granular linguistic model of a phenomenon (GLMP) to model the assessment of integer arithmetic learning and implement the automated generation of a formative criterion-based assessment report in natural language, as well as a numerical grade. The report is generated based exclusively on the objective scores automatically generated by Moodle quizzes. GLMP is based on fuzzy logic and the computational theory of perceptions, and uses inference systems based on linguistic rules.
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使用智能计算的Moodle测验的形成性标准评估
本文描述了使用现象粒度语言模型(GLMP)来模拟整数算术学习的评估,并实现了以自然语言自动生成基于形成标准的评估报告,以及数字成绩。该报告完全基于Moodle测验自动生成的客观分数生成。GLMP基于模糊逻辑和感知的计算理论,并使用基于语言规则的推理系统。
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