Information Analysis of Advanced Mathematics Education-Adaptive Algorithm Based on Big Data

With the rapid development of artificial intelligence (AI) concept technology, it promotes the innovation of educational concept. Mostly for the education information analysis in the class of mathematics in the university, it should be based on a big data-driven system to promote the quality of teac...

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Vydáno v:Mathematical problems in engineering Ročník 2022; s. 1 - 9
Hlavní autor: Tan, Jiabo
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 27.03.2022
John Wiley & Sons, Inc
Témata:
Adaptive algorithms
Artificial intelligence
Big Data
Colleges & universities
Curricula
Data analysis
Data integration
Data mining
Design techniques
Education
Homework
Information management
Information resources
Knowledge
Learning
Linear programming
Mathematical analysis
Mathematical problems
Mathematicians
Mathematics education
Optimization algorithms
Particle swarm optimization
Production planning
Resource scheduling
Scheduling
Statistical analysis
Students
Swarm intelligence
Teaching methods
ISSN:1024-123X, 1563-5147
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Shrnutí:With the rapid development of artificial intelligence (AI) concept technology, it promotes the innovation of educational concept. Mostly for the education information analysis in the class of mathematics in the university, it should be based on a big data-driven system to promote the quality of teaching in the classroom. In the method of teaching math in university, teachers should take full advantage of the benefits of a big data-driven system powered by AI, grow a good teaching model for students, promote education through big data, progressively teach students according to their aptitude, develop in a tailored direction, increase teaching quality and effectiveness, and finally create more great talents for our country. For the sake of improving the resource sharing and the management level of the curriculum which teaches advanced knowledge about mathematics teaching, based on a particle swarm optimization algorithm, an advanced math teaching system is proposed in this paper. The fusion model that can be used in the teaching process of math in university is constructed, the adaptive scheduling of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching resources is realized by an optimization algorithm used for fusion particle swarm, the autocorrelation feature of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching resources is extracted, and the adaptive optimization of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching resource fusion is realized by fuzzy correlation feature matching and statistical analysis. In the process of particle swarm optimization, the combination of statistical features is studied and managed, the resource scheduling and information fusion are realized, and the management capability of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching is promoted, and the experimental results demonstrate that the designed system has a high integration of teaching information resources and strong information scheduling ability and improved the management level of the curriculum which teaches advanced knowledge about mathematics complementary teaching.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2022/7796681