As educational institutions increasingly rely on data-driven decision-making, the need to manage and protect sensitive student data becomes more critical. Traditional centralized data systems expose educational organizations to significant risks, including breaches, unauthorized access, and misuse. With the growing use of big data and learning analytics in shaping personalized learning experiences, ensuring the privacy of student information has become a central concern. This paper explores the potential of integrating blockchain technology with anonymization techniques as a means to securely manage and analyze educational data while preserving student privacy. Blockchain’s decentralized, immutable ledger can provide an effective solution for maintaining the integrity and transparency of anonymized educational data. By utilizing blockchain to securely store anonymized data, educational institutions can analyze student performance, engagement, and learning behaviors while safeguarding personal identities. This approach ensures that data analysis can be performed without compromising privacy, thus enhancing the trust between students, educators, and institutions. The integration of blockchain and anonymization also offers a path to compliance with privacy laws such as the General Data Protection Regulation (GDPR). Anonymizing student data before its use for analysis allows institutions to harness the full potential of learning analytics and predictive modeling while adhering to privacy regulations. Furthermore, this combination creates a secure environment for data sharing between institutions, researchers, and employers, facilitating collaborative learning and cross-institutional research without exposing sensitive information. Blockchain’s ability to provide interoperability between educational data systems enhances the potential for secure, anonymized data sharing across borders, making it a valuable tool for global education initiatives. Additionally, the use of anonymized data can drive the creation of personalized learning pathways, tailoring education to the needs of individual students while protecting their privacy. While the integration of blockchain and anonymization into educational systems presents challenges—such as technical complexity, cost, and scalability—this paper discusses strategies to overcome these barriers. Approaches such as adopting open-source platforms and fostering collaboration between institutions can help ensure that these privacy-preserving solutions are feasible and accessible to institutions of all sizes. Blockchain-based anonymization presents a promising, innovative solution to the challenges of securing and analyzing educational data. By safeguarding data privacy, ensuring regulatory compliance, and enabling secure data sharing, this approach has the potential to transform educational data management, offering a more equitable, transparent, and secure educational environment.

Keywords: Blockchain, anonymization, educational analytics, data privacy, learning analytics, student data security, personalized learning.