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

<p>Along with the application and popularization of information fusion technology in all fields of life, education informatization is also increasing. In this paper, a scale prediction model is introduced based on the Multi-scale Attention Module MAM, composed of CSP-MAM, to detect the position of students in the classroom. Students’ expression changes in the school are identified through face classification, border regression, and face key point localization techniques. Using the data analysis function of the back-end of the information classroom, we obtain students’ classroom interaction information, and with the help of information fusion technology, we fuse the Information of the three classroom dimensions to construct the ideological and political learning evaluation model. In evaluating individual students’ concentration, the frequency of neutral and positive expressions of the five students is 49,960 times higher than that of negative expressions. After the ideological and political informatization teaching, the student’s overall learning effect score is 9.0174, and the three dimensions have been improved by 1.245, 0.9492, and 0.9024, respectively, which shows that the student’s learning concentration and effect under ideological and political informatization education are good.</p>
</abstract>

Along with the application and popularization of information fusion technology in all fields of life, education informatization is also increasing. In this paper, a scale prediction model is introduced based on the Multi-scale Attention Module MAM, composed of CSP-MAM, to detect the position of students in the classroom. Students’ expression changes in the school are identified through face classification, border regression, and face key point localization techniques. Using the data analysis function of the back-end of the information classroom, we obtain students’ classroom interaction information, and with the help of information fusion technology, we fuse the Information of the three classroom dimensions to construct the ideological and political learning evaluation model. In evaluating individual students’ concentration, the frequency of neutral and positive expressions of the five students is 49,960 times higher than that of negative expressions. After the ideological and political informatization teaching, the student’s overall learning effect score is 9.0174, and the three dimensions have been improved by 1.245, 0.9492, and 0.9024, respectively, which shows that the student’s learning concentration and effect under ideological and political informatization education are good.

Information Integration Technology Boosts Informationalized Teaching of Ideological and Political Courses in Colleges and Universities

Applied Mathematics and Nonlinear Sciences

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

Along with the application and popularization of information fusion technology in all fields of life, education informatization is also increasing. In this...

Information Integration Technology Boosts Informationalized Teaching of Ideological and Political Courses in Colleges and Universities

Published Online: Feb 26, 2024

Page range: -

Received: Jan 04, 2024

Accepted: Jan 12, 2024

DOI: https://doi.org/10.2478/amns-2024-0362

Keywords
Multi-scale attention, CSP-MAM, information fusion technology, informationalized teaching

© 2024 Jing Chen, published by Sciendo

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

Information Integration Technology Boosts Informationalized Teaching of Ideological and Political Courses in Colleges and Universities

Published Online: Feb 26, 2024

Page range: -

Received: Jan 04, 2024

Accepted: Jan 12, 2024

DOI: https://doi.org/10.2478/amns-2024-0362

KeywordsMulti-scale attention, CSP-MAM, information fusion technology, informationalized teaching

© 2024 Jing Chen, published by Sciendo

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

Keywords
Multi-scale attention, CSP-MAM, information fusion technology, informationalized teaching