Research on Application Strategies of Artificial Intelligence in Intelligent Teaching of Ideological and Political Education in Higher Vocational Colleges

With the rapid development of artificial intelligence technology, the education sector is undergoing unprecedented changes. Ideological and political theory courses in higher vocational colleges, which are crucial for cultivating students' correct values and improving their ideological and moral qualities, also face new opportunities and challenges. This paper begins with the current application status of artificial intelligence technology in the teaching of ideological and political courses in higher vocational colleges, analyzes application strategies in teaching content, methods, and evaluation, and proposes strategies such as constructing intelligent teaching platforms, developing personalized learning systems, updating teaching content intelligently, diversifying teaching methods, implementing intelligent assessment and feedback systems, and building smart campus environments. The aim is to provide references and insights for intelligent teaching in ideological and political courses in higher vocational colleges.

Authors

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1145/3708394.3708448
Citations
1
Primary Topic
Ideological and Political Education
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Application Strategies of Artificial Intelligence in Intelligent Teaching of Ideological and Political Education in Higher Vocational Colleges

Quan Zhou, Shuang Chen, Song Feng
1 citations
Ideological and Political Education
2.10
article

Research on Application Strategies of Artificial Intelligence in Intelligent Teaching of Ideological and Political Education in Higher Vocational Colleges

Quan Zhou, Shuang Chen, Song Feng
article en
1 citations

Abstract

With the rapid development of artificial intelligence technology, the education sector is undergoing unprecedented changes. Ideological and political theory courses in higher vocational colleges, which are crucial for cultivating students' correct values and improving their ideological and moral qualities, also face new opportunities and challenges. This paper begins with the current application status of artificial intelligence technology in the teaching of ideological and political courses in higher vocational colleges, analyzes application strategies in teaching content, methods, and evaluation, and proposes strategies such as constructing intelligent teaching platforms, developing personalized learning systems, updating teaching content intelligently, diversifying teaching methods, implementing intelligent assessment and feedback systems, and building smart campus environments. The aim is to provide references and insights for intelligent teaching in ideological and political courses in higher vocational colleges.

Quality Education
Openalex Percentile: Top 9%
Ideological and Political Education
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Application Strategies of Artificial Intelligence in Intelligent Teaching of Ideological and Political Education in Higher Vocational Colleges — Quan Zhou, Shuang Chen, et al. · (2024) | TGRS Research Map | TGRS