Integrating Blockchain and Cloud-Native Microservices in Education Management Systems: A PRISMA-Based Systematic Review
List of Authors
  • Fiona Ang, Tang Lin

Keyword
  • Blockchain-Based Education Systems, Microservices Architecture, Secure Academic Records, Distributed Learning Platforms, Educational Data Management

Abstract
  • This study examines the integration of blockchain technology and cloud-native microservices in education, highlighting their potential benefits alongside associated challenges. Guided by the PRISMA framework, the research adopts a systematic and transparent approach to reviewing existing literature. Relevant studies were retrieved from major academic databases, including Web of Science, IEEE Xplore, ACM Digital Library, ScienceDirect, SpringerLink, and Scopus, covering publications from January 2018 to February 2024. A total of 145 peer-reviewed articles were analyzed through a systematic literature review (SLR). The findings indicate that blockchain technology significantly enhances the security, transparency, and integrity of educational records and credentials through decentralized and immutable ledger mechanisms. However, large-scale adoption remains constrained by technical complexity, scalability limitations, and limited stakeholder awareness. In contrast, cloud-native microservices architectures offer scalability, flexibility, and system resilience, enabling personalized and adaptive educational platforms. Nonetheless, challenges persist in managing distributed systems, maintaining robust security, and optimizing performance. Overall, the study suggests that the combined adoption of blockchain and cloud-native microservices can substantially improve the security, transparency, and flexibility of educational systems. Addressing technical, organizational, and cultural barriers is critical for successful implementation. Future research should prioritize interoperable and adaptable solutions that integrate seamlessly with existing educational infrastructures to ensure ethical and effective deployment.

Reference
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