Study on Evaluation of Execution Capability Based on Artificial Intelligence CIPP Model

A Case Study from Henan Agricultural

Authors

DOI:

https://doi.org/10.4108/eetsis.5234

Keywords:

artificial intelligence, university ideology and politics, evaluation, competence level, CIPP model

Abstract

INTRODUCTION: The rapid change in artificial intelligence has evaluated ideological and political education ability in colleges and universities as a significant challenge.

OBJECTIVES: To assess the level of competence of universities in ideological and political education to determine the effectiveness and efficacy of educational programs and to provide a basis for improving and upgrading academic competence.

METHODS: Based on the CIPP model, the author constructed an index system and selected a suitable evaluation model to conduct a study on the evaluation of ideological and political competence of colleges and universities in the context of Artificial Intelligence, which helps to understand the background conditions, resource allocation, teaching activities and quality of teaching of educational programs, as well as the level of ideological and political literacy of the students and their achievements.

RESULTS: The evaluation results show that this kind of evaluation research helps to improve and enhance the capacity of ideological and political education in colleges and universities, and at the same time, it can dig into the implementation effect of the educational program, find problems and shortcomings, and promote the continuous improvement of the educational program.

CONCLUSION: Through evaluation, the quality and level of ideological and political education in colleges and universities can improve students' ideological and political literacy and sense of social responsibility. In addition, based on this, it makes the development of ideological and political ability in colleges and universities can be better adapted to the era of artificial intelligence.

References

Zeng, Meng, Ying Liu, and Geng Zhou. "Construction and Coping Strategies of Ideological and Political Education Evaluation System under the Background of Intelligent Internet of Things." Mobile Information Systems 2022 (2022).

Duan, Xiaoyun, Xiang Gao, and Shuchen Yang. "Research On The Construction Path And Evaluation System Of" Ideological And Political Course" Of Management Specialty In Applied Colleges And Universities Under The Background Of Internet." E3S Web of Conferences. vol. 236. eDP Sciences, 2021.

Lu, Linbao, and Long'E. Dai. "Innovative development and research of network ideological and political education under the internet background. "Innovative development and research of network ideological and political education under the background of the internet." The Sixth International Conference on Information Management and Technology. 2021.

Li, Feipeng, and Huijun Fu. "Study on college English teaching based on the concept of ideological and political education in all courses." Creative Education 11.7 (2020): 997-1007.

Xia, Yuejun. "Big data-based research on the management system framework of ideological and political education in colleges and universities." Journal of Intelligent & Fuzzy Systems 40.2 (2021): 3777-3786.

Men, Shuyuan, and Chao Yuan. "The Ideological and Political Education in Colleges and Universities Based on the Concept of Cooperative Education." 2021. 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers. 2021.

Zhang Wuji, Pan Junke. Research on the Innovation Path of Ideological and Political Education in Colleges and Universities in the Era of Big Data[J]. Journal of Jiamusi Vocational College,2023,39(06):25-27.

Lu, WeiPing, DeCai Huo, and Sibo Jia. "Analysis of Key Factors of College Students' Ideological and Political Education Based on Complex Network." Journal of Sensors 2022 (2022).

Yang Xiju,Luo Wang,Wang Haihua. Research on the mechanism of improving the teaching ability of teachers in applied local undergraduate colleges and universities under the perspective of connotative development[J/OL]. China Education Technology Equipment:1-4[2023-10-24].

Wang Dayang,Lu Qiuting,Zhang Changan. Analysis of countermeasures to enhance the ability of network ideological and political education of college counselors[J]. Jilin Education,2023(08):7-10.

Xiao, Hao. "RETRACTED: Evaluation System of Ideological and Political Education Innovation Ability Based on Computer Technology." Journal of Physics: Conference Series. Vol. 1744. No. 3. IOP Publishing, 2021.

Sopha, Satja, and Alexander Nanni. "The cipp model: applications in language program evaluation. "Journal of Asia TEFL 16.4 (2019): 1360.

Ebtesam, E., and Scott Foster. "Implementation of CIPP model for quality evaluation at Zawia University. "International Journal of Applied Linguistics and English Literature 8.5 (2019).

Fang Yue, Tao Shiqi, Tao Qunshan. Research on the evaluation of classroom teaching of pharmacy management based on background evaluation-input evaluation-process evaluation-outcome evaluation model[J/OL]. Journal of Anhui University of Traditional Chinese Medicine:1-6[2023-10-24].http://kns.cnki.net/kcms/detail/34.1324.R.20230905.1655.002.html.

Zhang, Baojing, Vinothraj Velmayil, and V. Sivakumar. "A deep learning model for innovative evaluation of ideological and political learning." Progress in Artificial Intelligence 12.2 (2023): 119-131.

Hu, Rong, and Jingwen Hu. "Construction and analysis of college students' entrepreneurship guidance model from the ideological and political education perspective under big data." Mobile Information Systems 2022 (2022).

Jia, Junling. "Sentiment Grading and Evaluation of Network Resources of Ideological and Political Education in Colleges and Universities: a Research Based on Artificial Intelligence." Journal of Environmental and Public Health 2022 (2022).

Xiaoli, Lei. "An Internet-based Evaluation Model for the Reform Effect of Ideological and Political Education in Normal College." 2021 2nd International Conference on Computers, Information Processing and Advanced Education. 2021.

Yao, Yanxia, and Jianwen Xia. "Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning." Computational Intelligence and Neuroscience 2022 (2022).

Labrín, Caterina, and Francisco Urdinez. "Principal component analysis." R for Political Data Science. Chapman and Hall/CRC, 2020. 375-393.

WANG Hongde,WANG Xiaohan. Risk analysis of sudden tunnel change surrounding rock state based on PCA-Dufferin equation[J]. Journal of Dalian Jiaotong University,2023,44(04):86-93.DOI:10.13291/j.cnki.djdxac.2023.04.014.

Chen, H., Zhang, Q., Wang, Z. L., Liang, C. & Huang, L. Z.. (2023). Research on a comprehensive water quality evaluation based on principal component analysis and cluster analysis. Science and Technology Innovation and Application (26), 88-92. doi:10.19981/j.CN23-1581/G3.2023.26.020.

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Published

15-03-2024

How to Cite

1.
Dong H. Study on Evaluation of Execution Capability Based on Artificial Intelligence CIPP Model: A Case Study from Henan Agricultural. EAI Endorsed Scal Inf Syst [Internet]. 2024 Mar. 15 [cited 2024 May 19];11(4). Available from: https://publications.eai.eu/index.php/sis/article/view/5234

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