华东师范大学学报（自然科学版）Issue(5)：1-10,10.DOI:10.3969/j.issn.1000-5641.2024.05.001
在线学习行为评价框架:基于模糊层次分析法和模糊综合评价法
An online learning behavior evaluation framework:Based on the fuzzy analytic hierarchy process and the fuzzy synthetic evaluation method
张一 1皮雯旭 1吴泽贤 1张琰彬 1金澈清 1王伟 1苏斌1
作者信息
- 1. 华东师范大学 数据科学与工程学院,上海 200062
- 折叠
摘要
Abstract
To address the limitations currently experienced regarding the comprehensiveness and effectiveness of online learning evaluation in the smart education context,this paper proposes a novel framework for assessing online learning behavior based on the fuzzy analytic hierarchy process(FAHP)and the fuzzy synthetic evaluation method(FSEM).Drawing upon the CIPP(context,input,process,product)educational evaluation model and integrating the educational evaluation tag taxonomy system,the framework identifies five key dimensions:learning exploration,programming practice,knowledge acquisition,collaborative innovation,and communication interaction.These dimensions are further delineated into secondary and tertiary indicators to ensure comprehensive evaluation coverage.The framework utilizes FAHP-FSEM to determine the weights of each indicator level and employs consistency testing to validate the scientific and rational nature of the evaluation process.Implemented on the Shuishan Online platform,the framework leverages extensive multi-source process learning data to facilitate comprehensive evaluation from multiple perspectives and across various dimensions.Student profiles and learning behavior patterns are presented via a visual dashboard.This framework provides robust data support for enhancing personalized learning outcomes and advancing educational reform,demonstrating its broad applicability and potential.关键词
在线学习/学习评价/评价指标/模糊层次分析法/模糊综合评判法Key words
online learning/learning evaluation/evaluation indicators/fuzzy analytic hierarchy process/fuzzy synthetic evaluation method分类
社会科学引用本文复制引用
张一,皮雯旭,吴泽贤,张琰彬,金澈清,王伟,苏斌..在线学习行为评价框架:基于模糊层次分析法和模糊综合评价法[J].华东师范大学学报（自然科学版）,2024,(5):1-10,10.
