Revolutionizing student course selection: Exploring the application prospects and challenges of blockchain token voting technology
- URL: http://arxiv.org/abs/2404.14000v1
- Date: Mon, 22 Apr 2024 09:06:28 GMT
- Title: Revolutionizing student course selection: Exploring the application prospects and challenges of blockchain token voting technology
- Authors: Tiansu Hu, Yuzhao Song, Linjing Zhang, Xiaoya Zhou,
- Abstract summary: This paper explores the utilization of blockchain token voting technology in student course selection systems.
The advantages of blockchain technology, including consensus mechanisms and smart contracts, are discussed in detail.
The technology offers advantages such as transparency, fairness, data security and privacy protection, and system efficiency improvement.
- Score: 0.38570000254272757
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This paper explores the utilization of blockchain token voting technology in student course selection systems. The current course selection systems face various issues, which can be mitigated through the implementation of blockchain technology. The advantages of blockchain technology, including consensus mechanisms and smart contracts, are discussed in detail. The token voting mechanism, encompassing concepts, token issuance and distribution, and voting rules and procedures, is also explained. The system design takes into account the system architecture, user roles and permissions, course information on the blockchain, student course selection voting process, and course selection result statistics and public display. The technology offers advantages such as transparency, fairness, data security and privacy protection, and system efficiency improvement. However, it also poses several challenges, such as technological and regulatory hurdles. The prospects for the application of blockchain token voting technology in student course selection systems and its potential impact on other fields are summarized. Overall, the utilization of blockchain token voting technology in student course selection systems holds promising future implications, which could revolutionize the education sector.
Related papers
- Research on Data Right Confirmation Mechanism of Federated Learning based on Blockchain [0.069060054915724]
Federated learning can solve the privacy protection problem in distributed data mining and machine learning.
This paper proposes a data ownership confirmation mechanism based on blockchain and smart contract.
arXiv Detail & Related papers (2024-09-13T02:02:18Z) - IT Strategic alignment in the decentralized finance (DeFi): CBDC and digital currencies [49.1574468325115]
Decentralized finance (DeFi) is a disruptive-based financial infrastructure.
This paper seeks to answer two main questions 1) What are the common IT elements in the DeFi?
And 2) How the elements to the IT strategic alignment in DeFi?
arXiv Detail & Related papers (2024-05-17T10:19:20Z) - Blockchains for Internet of Things: Fundamentals, Applications, and Challenges [38.29453164670072]
Not every blockchain system is suitable for specific IoT applications.
Public blockchains are not suitable for storing sensitive data.
We explore the blockchain's application in three pivotal IoT areas: edge AI, communications, and healthcare.
arXiv Detail & Related papers (2024-05-08T04:25:57Z) - Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities.
Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy.
This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
arXiv Detail & Related papers (2024-03-28T07:08:26Z) - Generative AI-enabled Blockchain Networks: Fundamentals, Applications,
and Case Study [73.87110604150315]
Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology.
In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
arXiv Detail & Related papers (2024-01-28T10:46:17Z) - Anonymous voting scheme using quantum assisted blockchain [0.39146761527401425]
We propose an anonymous voting scheme based on quantum assisted blockchain.
The voting scheme is auditable and can be implemented using the currently available technology.
arXiv Detail & Related papers (2022-06-07T11:07:28Z) - Design, Implementation, and Evaluation of Blockchain-Based Trusted
Achievement Record System for Students in Higher Education [0.0]
This study introduces a blockchain-based achievement record system that produces a verifiable record of achievements.
We present the design and implementation of the system and its components and tools.
We evaluate the system through a number of studies to measure the system's usability, effectiveness, performance, and cost.
arXiv Detail & Related papers (2022-04-26T19:07:15Z) - Social Choice Around the Block: On the Computational Social Choice of
Blockchain [7.310043452300736]
The present paper argues for the importance of computational social choice in blockchain research.
It identifies a few challenges at the interface of the two fields that illustrate the strong potential for cross-fertilization between them.
arXiv Detail & Related papers (2022-03-15T10:56:10Z) - SoK: Blockchain Governance [13.95507600720467]
The topic of blockchain governance is a fertile domain for a thorough systematization.
We start by distilling a comprehensive array of properties for sound governance systems.
While all properties are satisfied, even partially, by at least one system, no system that most of them.
arXiv Detail & Related papers (2022-01-18T18:38:26Z) - Federated Learning for Open Banking [42.05232310057235]
In the near future, it is foreseeable to have decentralized data ownership in the finance sector using federated learning.
This chapter will discuss the possible challenges for applying federated learning in the context of open banking.
arXiv Detail & Related papers (2021-08-24T14:06:16Z) - Quantum-resistance in blockchain networks [46.63333997460008]
This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Quantum Computing (CQC), and Tecnologico de Monterrey to identify and eliminate quantum threats in blockchain networks.
The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms.
arXiv Detail & Related papers (2021-06-11T23:39:25Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.