Practical Innovation of Students’ Civic Education Model Based on Artificial Intelligence Technology

被引：0

作者：

Lu Y. ^{[1
]}

机构：

[1] School of Computer Engineering, Jinling Institute of Technology, Jiangsu, Nanjing

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Artificial Intelligence; Behavior Recognition; Civic Education; Learning Experience;

D O I：

10.2478/amns-2024-0827

中图分类号：

学科分类号：

摘要：

Integrating Artificial Intelligence (AI) into education, particularly civic education, represents a transformative shift. This study explores the innovative fusion of AI with teaching methodologies, aiming to enhance educational outcomes and foster comprehensive student development. We construct a multidimensional civic education framework by employing theoretical and empirical approaches, examining the dynamics between educators, students, content, and pedagogical strategies. We assess student academic performance and behavior by utilizing the Multi-Task Classroom Behavior Recognition Network (MCBRN) and multivariate analysis of variance (ANOVA). Our findings reveal that the AI-enhanced teaching model significantly boosts student engagement and learning achievements in the experimental group, with behavior recognition accuracy reaching 96.9%. Moreover, these students demonstrated superior examination scores and overall competency levels compared to the control group (P<0.05), highlighting the effectiveness of this novel approach in elevating the quality of civic education through personalized and efficient learning experiences. © 2023 Yao Lu, published by Sciendo.

引用

共 16 条

[1]

Ahmad S.F., Alam M.M., Rahmat M.K., Mubarik M.S., Hyder S.I., Academic and administrative role of artificial intelligence in education, Sustainability, 14, (2022)

[2]

Cui F., Wang J., Analysis on the collaborative path of ideological and political education with artificial intelligence, Journal of International Education and Development, (2021)

[3]

Chen X.J., Research on the Integration Method of Ideological and Political Course Resources Based on Mobile Learning, 2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI), (2020)

[4]

Xia Y., Big data based research on the management system framework of ideological and political education in colleges and universities, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology, 40, 2, (2021)

[5]

Che S., Wang M., Zhang Y., Research on the Strategies of College Students’ Ideological and Political Education under the Internet Background, 2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), (2020)

[6]

Wang Y., Retraction note: analysis on the construction of ideological and political education system for college students based on mobile artificial intelligence terminal, Soft Computing, 27, 1, (2023)

[7]

An K., Exploration of intelligent teaching methods for ideological and political education in colleges and universities under the background of “mass entrepreneurship and innovation, International Journal of Antennas and Propagation, (2022)

[8]

Zhong J., Exploring and researching ideological and political education of college students’ psychological quality for the development of artificial intelligence, (2021)

[9]

Yinxiang Z., Multimedia teaching of ideological and political education based on artificial intelligence, Agro Food Industry Hi Tech, 28, 1, pp. 683-687, (2017)

[10]

Yunfang Z., Yuexi W., Interactive Teaching Path Analysis of Higher Vocational Ideological and Political Courses Based on Artificial Intelligence Algorithms, 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), (2019)

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