文章基本信息

标题：Early Multi-criteria Detection of Students at Risk of Failure
本地全文：下载
作者：Galina Ilieva ; Tania Yankova
期刊名称：TEM Journal
印刷版ISSN：2217-8309
电子版ISSN：2217-8333
出版年度：2020
卷号：9
期号：1
页码：344-350
DOI：10.18421/TEM91‐47
语种：English
出版社：UIKTEN
摘要：In this paper,we present a new fuzzy methodology for early students’ failure detection. High school background,subjects studied in the university and activities in learning management systems were determined to be the factors influencing students’ performance. After selection of the impact factors of students’ assessment,we convert linguistic evaluations into fuzzy numbers and employ multi-criteria methods for educational data processing. In two practical examples,the aggregate students’ scores were calculated by using fuzzy multi-criteria algorithms. The obtained students’ ranking helps instructors during the semester to detect students who will drop out the course and to plan additional learning activities for these students. In the future,we plan on analysing students’ data from different university’s courses and majors and mining several academic years in order to create a reliable assessment index for early prediction of students’ failure.
关键词：Academic failure;learning analytics;MADM;fuzzy EDAS;students’ failure prediction;students’ ranking.