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Design of Intelligent Financial Education Assistant System Based on Blockchain

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e-Learning, e-Education, and Online Training (eLEOT 2022)

Abstract

The traditional financial education assistant system has the problems of long response speed and poor anti-interference effect of financial education information transmission. Therefore, an intelligent financial education assistant system based on blockchain is designed. Collect intelligent financial education data according to the data warehouse technology, analyze the collected intelligent financial education data through statistical analysis methods, build an auxiliary decision-making model based on the comprehensive financial data, and use the blockchain to realize the design of intelligent financial education auxiliary system, so as to realize the data conversion of intelligent financial education. The experimental results show that the average response speed of the intelligent financial education assistant system and the other two intelligent financial education assistant systems are 60.530 s, 67.220 s and 68.133 s respectively; When the noise intensity is 50 dB, 80 dB and 120 dB, the design system always has a high education information transmission accuracy, which shows that the design system can improve the Financial Education Assistance Effect of the intelligent financial education assistance system, and that the intelligent financial education assistance system integrated with the blockchain technology has better performance.

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Funding

2022 Liaoning University of Science and Technology College Students’ Innovation and Entrepreneurship Training Project “Step into the Cloud - Smart Cloud Financial Business Practice” (202211430016).

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Correspondence to Wen Tang .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tang, W., Zhang, Z. (2022). Design of Intelligent Financial Education Assistant System Based on Blockchain. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_6

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  • DOI: https://doi.org/10.1007/978-3-031-21161-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21160-7

  • Online ISBN: 978-3-031-21161-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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