@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",
}
