Combining big data with innovative education on online ideology and politics for college students
This paper proposes new methods and approaches to online ideological and political education for college students. Firstly, a network ideological and political intelligence platform is constructed based on the functional stratification characteristics of big data. Then, the ideological and political...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00312 |
| _version_ | 1797340800016711680 |
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| author | Fan Qi |
| author_facet | Fan Qi |
| author_sort | Fan Qi |
| collection | DOAJ |
| description | This paper proposes new methods and approaches to online ideological and political education for college students. Firstly, a network ideological and political intelligence platform is constructed based on the functional stratification characteristics of big data. Then, the ideological and political contents are clustered and filtered, and the contents are divided into several teaching fields according to the nature of various events. Based on this, the “incentive compatibility” mechanism based on “interest cluster” analysis is used to cluster and model users interested in the topic, to recommend relevant online content to similar groups. Finally, we analyzed the problems of online ideological and political education in colleges and universities in China and proposed countermeasures. Only 52.3% of colleges and universities have substantial recognition of the construction work results. 75% of the first batch of pilot colleges and universities have funding sources with the Ministry of Education and the schools themselves, 45% of colleges and universities have special funds of over 1 million, and the remaining 55% have special funds below 200,000. For further improvement, college students’ online ideological and political construction needs to be paid attention to and carried out. |
| first_indexed | 2024-03-08T10:08:35Z |
| format | Article |
| id | doaj.art-410c357cb7ec4254823821c03c9fbf54 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:08:35Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-410c357cb7ec4254823821c03c9fbf542024-01-29T08:52:31ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00312Combining big data with innovative education on online ideology and politics for college studentsFan Qi01School of Creative Design, Dongguan City University, Dongguan, Guangdong, 523419, China.This paper proposes new methods and approaches to online ideological and political education for college students. Firstly, a network ideological and political intelligence platform is constructed based on the functional stratification characteristics of big data. Then, the ideological and political contents are clustered and filtered, and the contents are divided into several teaching fields according to the nature of various events. Based on this, the “incentive compatibility” mechanism based on “interest cluster” analysis is used to cluster and model users interested in the topic, to recommend relevant online content to similar groups. Finally, we analyzed the problems of online ideological and political education in colleges and universities in China and proposed countermeasures. Only 52.3% of colleges and universities have substantial recognition of the construction work results. 75% of the first batch of pilot colleges and universities have funding sources with the Ministry of Education and the schools themselves, 45% of colleges and universities have special funds of over 1 million, and the remaining 55% have special funds below 200,000. For further improvement, college students’ online ideological and political construction needs to be paid attention to and carried out.https://doi.org/10.2478/amns.2023.2.00312big dataonline ideology and politicsincentive compatibilitycluster screeninginterest clusters97b20 |
| spellingShingle | Fan Qi Combining big data with innovative education on online ideology and politics for college students Applied Mathematics and Nonlinear Sciences big data online ideology and politics incentive compatibility cluster screening interest clusters 97b20 |
| title | Combining big data with innovative education on online ideology and politics for college students |
| title_full | Combining big data with innovative education on online ideology and politics for college students |
| title_fullStr | Combining big data with innovative education on online ideology and politics for college students |
| title_full_unstemmed | Combining big data with innovative education on online ideology and politics for college students |
| title_short | Combining big data with innovative education on online ideology and politics for college students |
| title_sort | combining big data with innovative education on online ideology and politics for college students |
| topic | big data online ideology and politics incentive compatibility cluster screening interest clusters 97b20 |
| url | https://doi.org/10.2478/amns.2023.2.00312 |
| work_keys_str_mv | AT fanqi combiningbigdatawithinnovativeeducationononlineideologyandpoliticsforcollegestudents |