DOAJ Open Access 2023

Design and Analysis of Education Personalized Recommendation System under Vision of System Science Communication

Manyin Shi Fang Luo Hanping Ke Shiliang Zhang

Abstrak

Guided by system science, we propose a cognitive model based on graph theory and explore personalized recommendation algorithms based on a deep knowledge point tracking model by integrating the learning characteristics, prior knowledge, and learning ability of learners. Recommendation of the knowledge point is provided by combining the deep knowledge point tracking model and cognitive model, and personalized curriculum recommendation is provided by combining a knowledge point tracking model and graph theory. A dynamic personalized learning path is recommended by combining the knowledge point network and a student model. Then, teaching resources are recommended, and learning efficiency is improved.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (4)

Manyin Shi

Fang Luo

Hanping Ke

Shiliang Zhang

Format Sitasi

APA MLA BibTeX

Shi, M., Luo, F., Ke, H., Zhang, S. (2023). Design and Analysis of Education Personalized Recommendation System under Vision of System Science Communication. https://doi.org/10.3390/engproc2023038091

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.3390/engproc2023038091
Akses: Open Access ✓