Constructing Knowledge Graph in Blockchain Teaching Program Using Formal Concept Analysis

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.

@article{Mansurova2024,
  title     = {Constructing Knowledge Graph in Blockchain Teaching Program Using Formal Concept Analysis},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {10},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Madina Mansurova and Assel Ospan and Dinara Zhaisanova},
  doi       = {10.14569/IJACSA.2024.0151072},
  url       = {https://doi.org/10.14569/IJACSA.2024.0151072}
}