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Intelligent Algorithm-based Online Aided Learning System for Ideological and Political Education in Computer Major Courses

Authors:

Jie Ding,

Guotao Zhao,

Jun Lu,

Jian YouAuthors Info & Claims

AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

Pages 2690 - 2696

https://doi.org/10.1145/3495018.3501164

Published: 14 March 2022 Publication History

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

Intelligent Algorithm-based Online Aided Learning System for Ideological and Political Education in Computer Major Courses

Pages 2690 - 2696

Abstract
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Abstract

In order to improve the online auxiliary learning ability of ideological and political courses for computer majors, and to improve the network management and informatization level of online auxiliary information for ideological and political courses for computer majors, this paper puts forward the design method of online auxiliary learning system for ideological and political courses for computer majors based on intelligent algorithm. The system is divided into general structure design, algorithm design and software development design. The semantic extraction method is used to retrieve the information of online auxiliary learning of ideological and political courses for computer majors, and the semantic correlation feature quantity of online auxiliary information of ideological and political courses for computer majors is extracted. The similarity feature analysis model of online auxiliary learning of ideological and political courses for computer majors is constructed. The XML model and Zigbee technology are adopted. The network modular design and the networking control design of Internet of Things are realized. RFID radio frequency tags are used to identify the two-dimensional code tags of online auxiliary information of computer professional courses. Through the software development and network modular design under XML model and Zigbee technology, the online auxiliary information of computer professional courses is realized. The test shows that the designed online auxiliary learning system of ideological and political courses for computer majors has good output stability, and the local sharing level of online auxiliary information of ideological and political courses for computer majors is high.

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Liu Y(2024)Research on the Design and Effectiveness Analysis of Artificial Intelligence-Driven Intelligent Teaching and Assisting System for Civics and Political Science CoursesApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-27089:1Online publication date: 4-Oct-2024
https://doi.org/10.2478/amns-2024-2708
Lei X(2022)Resource Sharing Algorithm of Ideological and Political Course Based on Random ForestMathematical Problems in Engineering10.1155/2022/87651662022(1-8)Online publication date: 21-May-2022
https://doi.org/10.1155/2022/8765166

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

October 2021

3136 pages

ISBN:9781450385046

DOI:10.1145/3495018

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 March 2022

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

October 23 - 25, 2021

Manchester, United Kingdom

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Liu Y(2024)Research on the Design and Effectiveness Analysis of Artificial Intelligence-Driven Intelligent Teaching and Assisting System for Civics and Political Science CoursesApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-27089:1Online publication date: 4-Oct-2024
https://doi.org/10.2478/amns-2024-2708
Lei X(2022)Resource Sharing Algorithm of Ideological and Political Course Based on Random ForestMathematical Problems in Engineering10.1155/2022/87651662022(1-8)Online publication date: 21-May-2022
https://doi.org/10.1155/2022/8765166

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Online and offline teaching connection system of college ideological and political education based on deep learning

Course Reform Incorporating Ideological and Political Education in Computer Organization and Design

Ideological motives, digital divides, and political polarization: How do political party preference and values correspond with the political use of social media?

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