Abstract
It provides important reference for the researchers of learning evaluation under the B-Learning. This paper takes the subject literature of learning evaluation under the B-Learning published in CNKI database from 2010 to 2020 as the research object, uses the literature analysis method and visual analysis method, combs the subject and key words of relevant domestic literature with the help of CiteSpace software, and evaluates the learning under the B-Learning in the past ten years The key nodes and clustering are analyzed. It is found that the research on this subject mainly focuses on three categories: evaluation tools, evaluation methods and applications; the research focuses on four aspects: evaluation methods, evaluation standards, evaluation models and evaluation tools; and the trend towards the strengthening of information-based evaluation tools. Based on the above analysis and conclusion, in the future, the following three points should be paid attention to in the study of learning evaluation under the B-Learning in China: making effective use of big data; strengthening the construction of the integrated intelligent learning evaluation system; building a standardized and easy to operate evaluation index system.
Highlights
It provides important reference for the researchers of learning evaluation under the B-Learning
This paper takes the subject literature of learning evaluation under the B-Learning published in CNKI database from 2010 to 2020 as the research object, uses the literature analysis method and visual analysis method, combs the subject and key words of relevant domestic literature with the help of CiteSpace software, and evaluates the learning under the B-Learning in the past ten years The key nodes and clustering are analyzed
It is found that the research on this subject mainly focuses on three categories: evaluation tools, evaluation methods and applications; the research focuses on four aspects: evaluation methods, evaluation standards, evaluation models and evaluation tools; and the trend towards the strengthening of information-based evaluation tools
Summary
It provides important reference for the researchers of learning evaluation under the B-Learning. Email address: To cite this article: Duan Fang, Li Hong. Visual Analysis of Learning Evaluation Research Under the B-Learning.
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