<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Data mining (DM) technology is increasingly used in higher education, especially imaging education. The IEKMM model connects knowledge, problems, and abilities, addressing asymmetrical relationships and supporting network reasoning tasks. The SSME model preserves IEKMM’s semantic information, enhancing instruction quality and efficiency, and advancing personalized learning initiatives. Findings reveal that the distributed representation of entities and relationships, trained using the SSME (Semantic Symbol Mapping Embedding) model, effectively preserves the original semantic information of the IEKMM. This provides a foundation for implementing knowledge maps in educational settings and is crucial for advancing personalized learning initiatives.</p>
</abstract>

Data mining (DM) technology is increasingly used in higher education, especially imaging education. The IEKMM model connects knowledge, problems, and abilities, addressing asymmetrical relationships and supporting network reasoning tasks. The SSME model preserves IEKMM’s semantic information, enhancing instruction quality and efficiency, and advancing personalized learning initiatives. Findings reveal that the distributed representation of entities and relationships, trained using the SSME (Semantic Symbol Mapping Embedding) model, effectively preserves the original semantic information of the IEKMM. This provides a foundation for implementing knowledge maps in educational settings and is crucial for advancing personalized learning initiatives.

Construction of Image Education Knowledge Map Model Based on Data Mining Technology

School of Art and Design, Shanghai University of Engineering Science1*, Songjiang District

Faculty of Social Sciences and Liberal Arts, UCSI University

Boen Huier Information Technology (Shanghai) Co., Ltd. Jiading District

Shanghai Digital Hole Visual Technology Co., Ltd. Songjiang District

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Data mining (DM) technology is increasingly used in higher education, especially imaging education. The IEKMM model connects knowledge, problems, and...

Construction of Image Education Knowledge Map Model Based on Data Mining Technology

Pubblicato online: 10 lug 2024

Pagine: -

Ricevuto: 31 mar 2024

Accettato: 20 giu 2024

DOI: https://doi.org/10.2478/amns-2024-1837

Parole chiave
DM, Image education, Knowledge map, Machine learning

© 2024 Liu Hongbo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Construction of Image Education Knowledge Map Model Based on Data Mining Technology

Pubblicato online: 10 lug 2024

Pagine: -

Ricevuto: 31 mar 2024

Accettato: 20 giu 2024

DOI: https://doi.org/10.2478/amns-2024-1837

Parole chiaveDM, Image education, Knowledge map, Machine learning

© 2024 Liu Hongbo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
DM, Image education, Knowledge map, Machine learning