Constructing Knowledge Graph in Blockchain Teaching Program Using Formal Concept Analysis

Mansurova M. Ospan A. Zhaisanova D.
2024 Science and Information Organization

International Journal of Advanced Computer Science and Applications
2024 #15 Issue 10 707 - 720 pp.

The rapid evolution of blockchain technology calls for innovative educational frameworks to effectively convey its complex principles and applications. This paper investigates the use of Formal Concept Analysis (FCA) for constructing knowledge graphs as part of a blockchain teaching program. FCA, grounded in lattice theory, provides a mathematical foundation for analyzing relationships between concepts, making it an ideal tool for organizing and visualizing knowledge structure within blockchain education. This study aims to develop an interactive, context-based graph that captures the intricate interrelations among blockchain topics. The methodology includes mapping key blockchain concepts and their applications into a structured graph, which enhances both the understanding and the systematic delivery of educational content. The research demonstrates that FCA not only facilitates the creation of scalable and adaptable educational materials but also enhances students’ conceptual understanding by presenting the interconnected nature of blockchain concepts in an accessible format. Knowledge graph aids in identifying interconnected learning outcomes that cover overlapping subjects. It serves as a valueable resource for educators focusing on cryptocurrencies, making it easier to create a thorough list of key topics related to particular cryptocurrency characteristics.

blockchain education , curriculum optimization , formal concept analysis , interactive learning tools , Knowledge graph

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Department of Artificial Intelligence and Big Data-Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan

Department of Artificial Intelligence and Big Data-Faculty of Information Technology

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