Issue |
ITM Web Conf.
Volume 60, 2024
2023 5th International Conference on Advanced Information Science and System (AISS 2023)
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Article Number | 00005 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/itmconf/20246000005 | |
Published online | 09 January 2024 |
Incentive Mechanism of Online Leaning Based on Blockchain
1 College of Information Science and Engineering, Hunan Women’s University, Changsha 410004, China
2 School of Computer Science, Hunan First Normal University, Changsha 410205, China
3 College of Computer Science and Engineering, Changsha University, Changsha 41000, China
4 The First Surveying and Mapping Institute of Hunan Province, Changsha 410114, China
* Corresponding author: zhiminl@ qq.com, liu_shukun@163.com
Incentive mechanism plays an important role in online education. In order to better play the role of the incentive mechanism, it must rely on contemporary information technology, such as blockchain technology, big data technology and so on. In this paper an incentive mechanism based on blockchain technology is proposed with which can establish a good trust relationship between multiple learning resource nodes and improve data security during the process of online education. A structure of online learning resource chain is proposed in this paper also. And a dynamic optimization framework of learning resource chain by analyzing a series of problems faced in the process of online education is formed. The private chain of learning resource is constructed on the basis of the design of incentive smart contract. The learners and the builders of learning resources can obtain the dynamic rewards by performing a smart method of contract. The experimental results show that the incentive method based on blockchain can well mobilize participants’ enthusiasm for resource construction and dynamic improvement of resource quality, and effectively solve a series of problems in the learning process.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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