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Journal of Education Reform and Innovation

 (JOERAI)

Face  Volume 1, No.4, 2023  Print version

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DOI: https://doi.org/10.61957/joerai-20230114

Title: Research on the Teaching Effect Evaluation Based on the Big Data and IOT

Author:Wei Tang, Hao Lian, Yifei Wang and Xianghui Xiong

Abstract

In response to the ongoing novel coronavirus pneumonia epidemic, the Ministry of Education has issued guidelines for "suspending classes without stopping school. "Promoting the online training learning achievement certification system is helpful to improve the lifelong learning system and accelerate the construction of a learning society. The department emphasizes the importance of using online platforms for teaching to continue. Implementing an online training learning results certification system can enhance the lifelong learning system and accelerate the construction of a learning society. There are some problems in the evaluation of online learning outcomes, such as unclear concept of informal learning recognition, lack of establishment of recognition system, relatively simple subject of recognition, lack of involvement of stakeholders, ambiguous recognition process, lack of construction of relevant laws and regulations, poor flexibility of recognition methods, and lack of experienced certification personnel. This article proposes a block-chain based learning outcome certification model to address the practical challenges associated with online training learning outcome certification. The proposed model utilizes a "master-slave multi-chain" data link architecture and chameleon hash technology, integrating common smart contract mechanisms and traceability mechanisms. The mannequin serves as a reference for the orderly improvement of casual studying effect certification.
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Keywords: Distance Education; Online Teaching; Effect Evaluation; Promotion Strategy

 

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