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

  • Yi Zhang,
  • Peiya Zhang,
  • Yanbin Zhang,
  • Cheqing Jin,
  • Wei Wang,
  • Bin Su

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.