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基于模糊认知图的线上教学质量评价因素分析 被引量:10

Factors Analysis of Online Teaching Evaluation Using Fuzzy Cognitive Map
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摘要 线上教学从新鲜感走向新常态,保障教学质量是线上教学发展的关键所在。线上教学质量的提升需要科学的线上教学评价保驾护航。高校线上教学质量在系统关联中整体生成,在教学过程中各个因素的关系和变化都会影响教学质量的整体高度。为了确保线上教学质量,提出基于模糊认知图的线上教学质量评价因素分析方法,以专家评价为基础、以学生评价为中心、以线上数据为依托,构建主体模糊认知图和个体模糊认知图的学习机制,精准分析线上教学评价各要素之间的关系,获取的因素关系更符合线上教学的实际,为线上教学提供针对性的指导,从而促进教学质量的提升。 Online teaching moves from freshness to normal,and it is particlularly important to ensure the quality of teaching.The improvement of online teaching quality requires scientific online teaching evaluation.Online teaching quality of colleges and universities is generated as a whole in the system correlation,and the relationship and change of each factor in the teaching process will affect the overall height of teaching quality.In order to enhance the quality of online teaching,factors of online teaching evaluation analysis method based on fuzzy cognitive map is proposed.This method is based on expert evaluation,student evaluation,and online data.The learning mechanism of subject fuzzy cognitive map and individual fuzzy cognitive map is constructed.The proposed method can accurately analyze the relationship between various factors of online teaching evaluation of different courses,obtain factor relationships which are more in line with the actual online teaching,and provide targeted guidance for online teaching to promote high-quality development of online teaching.
作者 王威娜 WANG Wei-na(Jilin Institute of Chemical Technology,Jilin 132022,China)
出处 《黑龙江高教研究》 北大核心 2022年第6期101-106,共6页 Heilongjiang Researches on Higher Education
基金 吉林省教育厅2020年度本科高等教育教学改革课题“数据科学与大数据技术专业人才培养体系的研究与实践”(编号:20202854WVV0097)。
关键词 高校线上教学 评价因素分析 模糊认知图 online education in colleges and universities evaluation factor analysis fuzzy cognitive map
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