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利用模糊推理系统评估虚拟校园的教育质量绩效。

Evaluation of educational quality performance on virtual campuses using fuzzy inference systems.

机构信息

Department of Psychology, University of Oviedo, Oviedo, Spain.

Department of Business Administration, University of Oviedo, Oviedo, Spain.

出版信息

PLoS One. 2020 May 29;15(5):e0232802. doi: 10.1371/journal.pone.0232802. eCollection 2020.

DOI:10.1371/journal.pone.0232802
PMID:32469875
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7259654/
Abstract

The general objective of this study is to analyze student satisfaction with the use of virtual campuses in university teaching in order to discover the main variables influencing the overall online teaching-learning process that give quality to the virtual educational process. To this end, an ex-post-facto research methodology was applied to 1084 university students, who completed an ad hoc designed questionnaire, which allowed us to carry out descriptive analysis, classification trees and fuzzy inference systems using SPSS and Matlab software. The results suggest that four variables predominantly influence the quality of the teaching-learning processes in virtual campuses: satisfactory teacher responses to student questions and observations, the positive attitude of teachers towards the use of information and communication technologies, students having appropriate digital skills, and activities that encourage ideas and debate.

摘要

本研究的总体目标是分析学生对虚拟校园在大学教学中应用的满意度,以发现影响整体在线教学-学习过程的主要变量,从而为虚拟教育过程赋予质量。为此,采用事后分析法对 1084 名大学生进行了研究,他们完成了一份专门设计的问卷,这使我们能够使用 SPSS 和 Matlab 软件进行描述性分析、分类树和模糊推理系统。结果表明,有四个变量主要影响虚拟校园中的教与学过程的质量:教师对学生问题和观察的满意回应、教师对信息和通信技术使用的积极态度、学生具备适当的数字技能、以及鼓励创意和辩论的活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea89/7259654/a8af0ff2d3b8/pone.0232802.g008.jpg
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