基于模糊逻辑的远程学习学生成绩评价模型

Beyza Esin Ozseven, N. Çagman
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引用次数: 0

摘要

-远程学习是一种教育模式,在这种模式中,教育者和学生在不同的时间和地点走到一起,学习过程继续进行。虽然它在时间和空间上都有积极的方面,但它也存在交互性弱、评价过程功能差等局限性。评估系统通常包括多项选择题或开放式问题。换句话说,结果是在解决给定问题的过程中评估的,在达到结果之前,学生的行为可以被忽略。本研究在评价学生成绩的同时,加入了学生本学期的行为和多项选择题的分心因素权重系数,并对学生的错误答案进行了成绩评价。该模型基于模糊逻辑建立,并试图消除评价中的不确定性。
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A Novel Student Performance Evaluation Model Based on Fuzzy Logic for Distance Learning
– Distance learning is an education model in which the educator and the student come together independently of time and place and the learning process is continued. Although it has positive aspects in terms of time and space, it has limitations such as weak interaction and poor functioning of evaluation processes. Assessment systems often include multiple-choice or open-ended questions. In other words, the result is evaluated in solving a given problem, and the student's actions can be ignored until the result is reached. In this study, while evaluating student performance, the student's behavior during the semester and the distractor weight coefficient for multiple-choice exams were added, and a performance evaluation was made on the student's incorrect answers. The proposed model was created based on fuzzy logic, and the uncertainties in the evaluation were attempted to be eliminated.
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