Research on Dongguan Party History in Political Education Using Big Data and Artificial Intelligent

DOI

10.2991/978-94-6463-568-3_39How to use a DOI?

Keywords

Natural Language Processing; Artificial Intelligent; Educational Technology; Big Data

Abstract

The current research on ideological and political education has increasingly focused on the utilisation of contemporary technological resources to enhance the efficacy of pedagogical practices, particularly in the context of big data and artificial intelligence applications. However, the extant research is not without shortcomings. These include insufficient integration of resources, a lack of personalised education and an ineffective use of local resources with distinctive characteristics. In this work, the objective of this study is to investigate how the ideological and political education model can be innovated through the strategic integration of resources pertaining to the history of the Party in Dongguan. An AI-based intelligent teaching platform has been constructed, comprising the following stages: firstly, the platform automatically parses and organises text resources pertaining to the history of the Party in Dongguan through the utilisation of natural language processing technology; secondly, the machine learning algorithm is employed to conduct a comprehensive analysis and classification of the educational content, thus facilitating subsequent personalised recommendations and content optimisation. In order to enhance students’ motivation to learn, the platform employs deep learning models to dynamically adjust pedagogical strategies and generate content that aligns with students’ individual learning rhythms and preferences. Concurrently, through the utilisation of big data analysis, real-time monitoring and evaluation of students’ learning behaviours and effects, data-driven precision education interventions are made available.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Feifeng Liu
AU  - Yuan Xu
PY  - 2024
DA  - 2024/11/27
TI  - Research on Dongguan Party History in Political Education Using Big Data and Artificial Intelligent
BT  - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
PB  - Atlantis Press
SP  - 320
EP  - 326
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-568-3_39
DO  - 10.2991/978-94-6463-568-3_39
ID  - Liu2024
ER  -