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International Journal of Educational Curriculum Management and Research, 2023, 4(3); doi: 10.38007/IJECMR.2023.040316.

Study on the Teaching Effect Evaluation Based on the Big Data and IOT

Author(s)

Wei Tang, Hao Lian, Yifei Wang, Xianghui Xiong

Corresponding Author:
Hao Lian
Affiliation(s)

Xi'an Physical Education University, Xi’an, Shaanxi, China

Abstract

To prevent and control the novel coronavirus pneumonia epidemic, the Ministry of Education has issued guidelines for "suspending classes without stopping school". They have called for the use of online platforms for teaching to continue. Implementing an online training learning results certification system can help improve the lifelong learning system and accelerate the construction of a learning society. This article proposes a block-chain based learning outcome certification model to address the practical challenges of online training learning outcome certification. It utilizes a "master-slave multi-chain" data link architecture and chameleon hash technology, integrating common, smart contract, and traceability mechanisms. This mannequin serves as a reference for the orderly improvement of casual studying effect certification.

Keywords

Distance Education, Online Teaching, Effect Evaluation, Promotion Strategy

Cite This Paper

Wei Tang, Hao Lian, Yifei Wang, Xianghui Xiong. Study on the Teaching Effect Evaluation Based on the Big Data and IOT. International Journal of Educational Curriculum Management and Research (2023), Vol. 4, Issue 3: 143-152. https://doi.org/10.38007/IJECMR.2023.040316.

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