Visual Analysis of Learning Evaluation Research Under the B-Learning

Duan Fang; Li Hong

doi:doi:10.11648/j.si.20200804.13

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Visual Analysis of Learning Evaluation Research Under the B-Learning

Duan Fang, Li Hong

Published in Science Innovation (Volume 8, Issue 4)

Received: 30 May 2020 Accepted: Published: 23 July 2020

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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.

Published in	Science Innovation (Volume 8, Issue 4)
DOI	10.11648/j.si.20200804.13
Page(s)	97-101
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

B-Learning, Learning Evaluation, Visual Analysis

References

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Duan Fang, Li Hong. (2020). Visual Analysis of Learning Evaluation Research Under the B-Learning. Science Innovation, 8(4), 97-101. https://doi.org/10.11648/j.si.20200804.13

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ACS Style

Duan Fang; Li Hong. Visual Analysis of Learning Evaluation Research Under the B-Learning. Sci. Innov. 2020, 8(4), 97-101. doi: 10.11648/j.si.20200804.13

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Duan Fang, Li Hong. Visual Analysis of Learning Evaluation Research Under the B-Learning. Sci Innov. 2020;8(4):97-101. doi: 10.11648/j.si.20200804.13

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@article{10.11648/j.si.20200804.13,
  author = {Duan Fang and Li Hong},
  title = {Visual Analysis of Learning Evaluation Research Under the B-Learning},
  journal = {Science Innovation},
  volume = {8},
  number = {4},
  pages = {97-101},
  doi = {10.11648/j.si.20200804.13},
  url = {https://doi.org/10.11648/j.si.20200804.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20200804.13},
  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.},
 year = {2020}
}

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TY  - JOUR
T1  - Visual Analysis of Learning Evaluation Research Under the B-Learning
AU  - Duan Fang
AU  - Li Hong
Y1  - 2020/07/23
PY  - 2020
N1  - https://doi.org/10.11648/j.si.20200804.13
DO  - 10.11648/j.si.20200804.13
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 97
EP  - 101
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20200804.13
AB  - 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.
VL  - 8
IS  - 4
ER  -

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Author Information

Duan Fang

Information Institute, Yunnan Normal University, Kunming, China
Li Hong

Information Institute, Yunnan Normal University, Kunming, China

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APA Style

Duan Fang, Li Hong. (2020). Visual Analysis of Learning Evaluation Research Under the B-Learning. Science Innovation, 8(4), 97-101. https://doi.org/10.11648/j.si.20200804.13

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ACS Style

Duan Fang; Li Hong. Visual Analysis of Learning Evaluation Research Under the B-Learning. Sci. Innov. 2020, 8(4), 97-101. doi: 10.11648/j.si.20200804.13

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AMA Style

Duan Fang, Li Hong. Visual Analysis of Learning Evaluation Research Under the B-Learning. Sci Innov. 2020;8(4):97-101. doi: 10.11648/j.si.20200804.13

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@article{10.11648/j.si.20200804.13,
  author = {Duan Fang and Li Hong},
  title = {Visual Analysis of Learning Evaluation Research Under the B-Learning},
  journal = {Science Innovation},
  volume = {8},
  number = {4},
  pages = {97-101},
  doi = {10.11648/j.si.20200804.13},
  url = {https://doi.org/10.11648/j.si.20200804.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20200804.13},
  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.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Visual Analysis of Learning Evaluation Research Under the B-Learning
AU  - Duan Fang
AU  - Li Hong
Y1  - 2020/07/23
PY  - 2020
N1  - https://doi.org/10.11648/j.si.20200804.13
DO  - 10.11648/j.si.20200804.13
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 97
EP  - 101
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20200804.13
AB  - 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.
VL  - 8
IS  - 4
ER  -

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