Evaluation Index System of Ideological and Political Teaching in Colleges and Universities Based on Data Mining under the Background of Big Data
The big data age has given rise to a new approach for evaluating PIE in colleges and institutions. It is conducive for promoting the development of teaching evaluation in universities and colleges, as well as improving the overall quality of political and ideological education (PIE) in universities...
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| Veröffentlicht in: | Computational intelligence and neuroscience 2022-07, Vol.2022, p.1-9 |
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| description | The big data age has given rise to a new approach for evaluating PIE in colleges and institutions. It is conducive for promoting the development of teaching evaluation in universities and colleges, as well as improving the overall quality of political and ideological education (PIE) in universities and colleges, by using the big data idea and data mining theory to study the Evaluation Index System (EIS) of PIE in universities and colleges. The PIE EIS in universities and colleges is a critical component in achieving PIE Evaluation. It is the main carrier and intuitive manifestation of the evaluation standards of teaching. It clearly defines the content, scope, and scale of the evaluation of political and ideological theory teaching. By using the decision tree algorithm in data mining, it can help process data, complete the data feedback, and determine the indicators of each level of EIS for PIE in universities and colleges. Finally, the effect of this EIS is judged by experiment. The result shows that more than 40% of students are satisfied with the quality of political and ideological course teaching, 36.8% are satisfied with the analysis of the implementation of political and ideological classes in schools, and overall are satisfied with the political and ideological teaching in universities and colleges. |
| doi_str_mv | 10.1155/2022/4286656 |
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It is conducive for promoting the development of teaching evaluation in universities and colleges, as well as improving the overall quality of political and ideological education (PIE) in universities and colleges, by using the big data idea and data mining theory to study the Evaluation Index System (EIS) of PIE in universities and colleges. The PIE EIS in universities and colleges is a critical component in achieving PIE Evaluation. It is the main carrier and intuitive manifestation of the evaluation standards of teaching. It clearly defines the content, scope, and scale of the evaluation of political and ideological theory teaching. By using the decision tree algorithm in data mining, it can help process data, complete the data feedback, and determine the indicators of each level of EIS for PIE in universities and colleges. Finally, the effect of this EIS is judged by experiment. The result shows that more than 40% of students are satisfied with the quality of political and ideological course teaching, 36.8% are satisfied with the analysis of the implementation of political and ideological classes in schools, and overall are satisfied with the political and ideological teaching in universities and colleges.</description><identifier>ISSN: 1687-5265</identifier><identifier>EISSN: 1687-5273</identifier><identifier>DOI: 10.1155/2022/4286656</identifier><identifier>PMID: 35865501</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Algorithms ; Artificial intelligence ; Big Data ; Colleges & universities ; Critical components ; Data mining ; Datasets ; Decision making ; Decision theory ; Decision trees ; Forecasts and trends ; Ideology ; Study and teaching ; Teaching</subject><ispartof>Computational intelligence and neuroscience, 2022-07, Vol.2022, p.1-9</ispartof><rights>Copyright © 2022 Zongzheng Shen.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>Copyright © 2022 Zongzheng Shen. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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It is conducive for promoting the development of teaching evaluation in universities and colleges, as well as improving the overall quality of political and ideological education (PIE) in universities and colleges, by using the big data idea and data mining theory to study the Evaluation Index System (EIS) of PIE in universities and colleges. The PIE EIS in universities and colleges is a critical component in achieving PIE Evaluation. It is the main carrier and intuitive manifestation of the evaluation standards of teaching. It clearly defines the content, scope, and scale of the evaluation of political and ideological theory teaching. By using the decision tree algorithm in data mining, it can help process data, complete the data feedback, and determine the indicators of each level of EIS for PIE in universities and colleges. Finally, the effect of this EIS is judged by experiment. 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It is conducive for promoting the development of teaching evaluation in universities and colleges, as well as improving the overall quality of political and ideological education (PIE) in universities and colleges, by using the big data idea and data mining theory to study the Evaluation Index System (EIS) of PIE in universities and colleges. The PIE EIS in universities and colleges is a critical component in achieving PIE Evaluation. It is the main carrier and intuitive manifestation of the evaluation standards of teaching. It clearly defines the content, scope, and scale of the evaluation of political and ideological theory teaching. By using the decision tree algorithm in data mining, it can help process data, complete the data feedback, and determine the indicators of each level of EIS for PIE in universities and colleges. Finally, the effect of this EIS is judged by experiment. 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| subjects | Algorithms Artificial intelligence Big Data Colleges & universities Critical components Data mining Datasets Decision making Decision theory Decision trees Forecasts and trends Ideology Study and teaching Teaching |
| title | Evaluation Index System of Ideological and Political Teaching in Colleges and Universities Based on Data Mining under the Background of Big Data |
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