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

<p>Network culture is a culture based on computer network information technology. With the popularity of “Internet+”, the influence of network culture on college students’ ideological views, behavioral patterns, value orientations and psychological development is also increasing. While Internet culture brings opportunities to higher education ideological and political education, it also makes education work face serious challenges. This paper proposes a collaborative knowledge graph construction method for Civic Education based on Internet + group intelligence. The core of the method is a continuously running loop that contains 3 activities: free exploration, automatic integration, and active feedback. The experimental results show that the knowledge graph fusion algorithm can effectively utilize the structural information of the knowledge graph as well as the semantic information of the nodes to form a high-quality knowledge graph fusion scheme. The collaborative approach based on the “explore-fusion-feedback” loop can improve the scale of group construction of knowledge graphs and the efficiency of individual construction of knowledge graphs, and exhibit better scalability of group scale.</p>
</abstract>

Network culture is a culture based on computer network information technology. With the popularity of “Internet+”, the influence of network culture on college students’ ideological views, behavioral patterns, value orientations and psychological development is also increasing. While Internet culture brings opportunities to higher education ideological and political education, it also makes education work face serious challenges. This paper proposes a collaborative knowledge graph construction method for Civic Education based on Internet + group intelligence. The core of the method is a continuously running loop that contains 3 activities: free exploration, automatic integration, and active feedback. The experimental results show that the knowledge graph fusion algorithm can effectively utilize the structural information of the knowledge graph as well as the semantic information of the nodes to form a high-quality knowledge graph fusion scheme. The collaborative approach based on the “explore-fusion-feedback” loop can improve the scale of group construction of knowledge graphs and the efficiency of individual construction of knowledge graphs, and exhibit better scalability of group scale.

Analysis of the dilemma of higher vocational thinking education in China under the background of “Internet+”

Applied Mathematics and Nonlinear Sciences

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

Network culture is a culture based on computer network information technology. With the popularity of “Internet+”, the influence of network culture on college...

Analysis of the dilemma of higher vocational thinking education in China under the background of “Internet+”

Online veröffentlicht: 02. Juni 2023

Seitenbereich: -

Eingereicht: 21. Juni 2022

Akzeptiert: 17. Okt. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00164

Schlüsselwörter
network culture, ideological and political education, human group intelligence, Internet+, knowledge graph

© 2023 Yanhua Hu et al., published by Sciendo

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

Analysis of the dilemma of higher vocational thinking education in China under the background of “Internet+”

Online veröffentlicht: 02. Juni 2023

Seitenbereich: -

Eingereicht: 21. Juni 2022

Akzeptiert: 17. Okt. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00164

Schlüsselwörternetwork culture, ideological and political education, human group intelligence, Internet+, knowledge graph

© 2023 Yanhua Hu et al., published by Sciendo

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

Schlüsselwörter
network culture, ideological and political education, human group intelligence, Internet+, knowledge graph