Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework

Yi Zhang; Peiya Zhang; Yanbin Zhang; Cheqing Jin; Wei Wang; Bin Su

doi:10.1007/978-981-97-7707-5_50

Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework

Yi Zhang
, Peiya Zhang
, Yanbin Zhang^*
, Cheqing Jin
, Wei Wang
, Bin Su

^*此作品的通讯作者

数据科学与工程学院

East China Normal University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

The rapid expansion of online education has highlighted the critical need for a reliable and efficient learning evaluation framework. To address this challenge, we propose a blockchain-powered framework for assessing educational behavior indicators. Leveraging blockchain's tamper-proof and traceable characteristics, the framework ensures the security and authenticity of educational data. By integrating multi-source data from the Shuishan Online platform and adopting a multi-dimensional evaluation perspective, the framework comprehensively assesses students’ online learning performance. Implementation in a real educational scenario demonstrates the framework's effectiveness in providing credible and comprehensive evaluations of students’ learning outcomes, paving the way for a transparent, efficient, and equitable educational environment.

源语言	英语
主期刊名	Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings
编辑	Cheqing Jin, Shiyu Yang, Xuequn Shang, Haofen Wang, Yong Zhang
出版商	Springer Science and Business Media Deutschland GmbH
页	604-612
页数	9
ISBN（印刷版）	9789819777068
DOI	https://doi.org/10.1007/978-981-97-7707-5_50
出版状态	已出版 - 2024
活动	21st CCF Conference on Web Information Systems and Applications in China, WISA 2024 - Yinchuan, 中国期限: 2 8月 2024 → 4 8月 2024

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	14883 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	21st CCF Conference on Web Information Systems and Applications in China, WISA 2024
国家/地区	中国
市	Yinchuan
时期	2/08/24 → 4/08/24

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 4 优质教育

访问文件

10.1007/978-981-97-7707-5_50

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, Y., Zhang, P., Zhang, Y., Jin, C., Wang, W., & Su, B. (2024). Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework. 在 C. Jin, S. Yang, X. Shang, H. Wang, & Y. Zhang (编辑), Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings (页码 604-612). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 14883 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-7707-5_50

Zhang, Yi ; Zhang, Peiya ; Zhang, Yanbin 等. / Enhancing Online Education Assessment : A Blockchain-Powered Reliable Behavior Indicator Assessment Framework. Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings. 编辑 / Cheqing Jin ; Shiyu Yang ; Xuequn Shang ; Haofen Wang ; Yong Zhang. Springer Science and Business Media Deutschland GmbH, 2024. 页码 604-612 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3f99d25d7ed043ce8866fb73ec1a768b,

title = "Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework",

abstract = "The rapid expansion of online education has highlighted the critical need for a reliable and efficient learning evaluation framework. To address this challenge, we propose a blockchain-powered framework for assessing educational behavior indicators. Leveraging blockchain's tamper-proof and traceable characteristics, the framework ensures the security and authenticity of educational data. By integrating multi-source data from the Shuishan Online platform and adopting a multi-dimensional evaluation perspective, the framework comprehensively assesses students{\textquoteright} online learning performance. Implementation in a real educational scenario demonstrates the framework's effectiveness in providing credible and comprehensive evaluations of students{\textquoteright} learning outcomes, paving the way for a transparent, efficient, and equitable educational environment.",

keywords = "Blockchain, Learning Evaluation, Online Learning",

author = "Yi Zhang and Peiya Zhang and Yanbin Zhang and Cheqing Jin and Wei Wang and Bin Su",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 21st CCF Conference on Web Information Systems and Applications in China, WISA 2024 ; Conference date: 02-08-2024 Through 04-08-2024",

year = "2024",

doi = "10.1007/978-981-97-7707-5\_50",

language = "英语",

isbn = "9789819777068",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "604--612",

editor = "Cheqing Jin and Shiyu Yang and Xuequn Shang and Haofen Wang and Yong Zhang",

booktitle = "Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings",

address = "德国",

}

Zhang, Y, Zhang, P, Zhang, Y, Jin, C , Wang, W & Su, B 2024, Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework. 在 C Jin, S Yang, X Shang, H Wang & Y Zhang (编辑), Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 14883 LNCS, Springer Science and Business Media Deutschland GmbH, 页码 604-612, 21st CCF Conference on Web Information Systems and Applications in China, WISA 2024, Yinchuan, 中国, 2/08/24. https://doi.org/10.1007/978-981-97-7707-5_50

Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework. / Zhang, Yi; Zhang, Peiya; Zhang, Yanbin 等.
Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings. 编辑 / Cheqing Jin; Shiyu Yang; Xuequn Shang; Haofen Wang; Yong Zhang. Springer Science and Business Media Deutschland GmbH, 2024. 页码 604-612 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 14883 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Enhancing Online Education Assessment

T2 - 21st CCF Conference on Web Information Systems and Applications in China, WISA 2024

AU - Zhang, Yi

AU - Zhang, Peiya

AU - Zhang, Yanbin

AU - Jin, Cheqing

AU - Wang, Wei

AU - Su, Bin

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - The rapid expansion of online education has highlighted the critical need for a reliable and efficient learning evaluation framework. To address this challenge, we propose a blockchain-powered framework for assessing educational behavior indicators. Leveraging blockchain's tamper-proof and traceable characteristics, the framework ensures the security and authenticity of educational data. By integrating multi-source data from the Shuishan Online platform and adopting a multi-dimensional evaluation perspective, the framework comprehensively assesses students’ online learning performance. Implementation in a real educational scenario demonstrates the framework's effectiveness in providing credible and comprehensive evaluations of students’ learning outcomes, paving the way for a transparent, efficient, and equitable educational environment.

AB - The rapid expansion of online education has highlighted the critical need for a reliable and efficient learning evaluation framework. To address this challenge, we propose a blockchain-powered framework for assessing educational behavior indicators. Leveraging blockchain's tamper-proof and traceable characteristics, the framework ensures the security and authenticity of educational data. By integrating multi-source data from the Shuishan Online platform and adopting a multi-dimensional evaluation perspective, the framework comprehensively assesses students’ online learning performance. Implementation in a real educational scenario demonstrates the framework's effectiveness in providing credible and comprehensive evaluations of students’ learning outcomes, paving the way for a transparent, efficient, and equitable educational environment.

KW - Blockchain

KW - Learning Evaluation

KW - Online Learning

UR - https://www.scopus.com/pages/publications/85205116212

U2 - 10.1007/978-981-97-7707-5_50

DO - 10.1007/978-981-97-7707-5_50

M3 - 会议稿件

AN - SCOPUS:85205116212

SN - 9789819777068

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 604

EP - 612

BT - Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings

A2 - Jin, Cheqing

A2 - Yang, Shiyu

A2 - Shang, Xuequn

A2 - Wang, Haofen

A2 - Zhang, Yong

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 2 August 2024 through 4 August 2024

ER -

Zhang Y, Zhang P, Zhang Y, Jin C , Wang W, Su B. Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework. 在 Jin C, Yang S, Shang X, Wang H, Zhang Y, 编辑, Web Information Systems and Applications - 21st International Conference, WISA 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. 页码 604-612. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-981-97-7707-5_50

Enhancing Online Education Assessment: A Blockchain-Powered Reliable Behavior Indicator Assessment Framework

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此