Big data based research on the management system framework of ideological and political education in colleges and universities

Author:

Xia Yuejun1

Affiliation:

1. College of Life Science, Jilin Agricultural University, Changchun, Jilin, China

Abstract

Artificial intelligence model combined with data mining technology can mine useful data from college ideological and political education management, and conduct process evaluation and teaching management. Therefore, based on the superiority of data mining technology and artificial intelligence system, this paper improves the traditional algorithm and constructs a university ideological and political education management model based on big data artificial intelligence. Moreover, this study uses a local sensitive hash function to generate representative point sets and uses the generated representative point sets for clustering operations. In order to verify the performance of the algorithm model, a control experiment is designed to compare the algorithm of this paper with traditional data mining methods. It can be seen from the research results that the algorithm model constructed in this paper has good performance and can be applied to practice.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference24 articles.

1. Response Rate and Teaching Effectiveness in Institutional Student Evaluation of Teaching: A Multiple Linear Regression Study[J];Al-Maamari;Higher Education Studies,2015

2. Teaching and Un-Teaching Source Evaluation: Questioning Authority in Information Literacy Instruction[J];Angell;Communications in Information Literacy,2017

3. ‘Spector - the sustainability inspector’: Participatory teaching, learning and evaluation game for architects, architecture students and pupils[J];Brkovic;Facta Universitatis,2016

4. Blended learning versus traditional teaching-learning-setting: Evaluation of cognitive and affective learning outcomes for the inter-professional field of occupational medicine and prevention / Blended Learning versus traditionelles Lehr-Lernsetting: Evaluierung von kognitiven und affektiven Lernergebnissen für das interprofessionelle Arbeitsfeld Arbeitsmedizin und Prävention[J];Eckler;Nephron Clinical Practice,2017

5. Feedback of medical students on teaching and evaluation methodology in Physiology[J];Lalvarmawi;National Journal of Physiology Pharmacy & PharMacology,2015

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