Author(s)

Wen Pan ¹

Affiliation(s)

¹ Noncommissioned Officer Academy of Pap, Hangzhou, Zhejiang, China

Corresponding Author

Wen Pan

ABSTRACT

This paper aims to develop a comprehensive knowledge graph dataset for database curriculum based on the fusion of multi-source educational data, addressing the pressing need for efficient and systematic knowledge management in the education sector. By integrating diverse teaching data from textbooks, online courses, learning management systems, and more, advanced data fusion technologies are employed to facilitate precise extraction of knowledge points and construction of relationships. The validity of this knowledge graph is substantiated through link prediction experiments. This research not only enhances the utilization of educational data resources but also lays a robust foundation for applications such as personalized instruction, intelligent recommendations, and learning path planning—significantly contributing to the advancement of intelligent and accurate teaching methodologies in database courses.

KEYWORDS

Multi-source education data, Database course, Knowledge graph, Link prediction

CITE THIS PAPER

Wen Pan, Development of a Knowledge Graph for Database Courses through the Integration of Multi-source Educational Data. Journal of Artificial Intelligence Practice (2024) Vol. 7: 186-194. DOI: http://dx.doi.org/10.23977/jaip.2024.070323.

REFERENCES

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