Open AccessResearch on University Computer Teaching Based on Data Mining Learning Model
Author(s) -
Guibing Xu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2173/1/012071
Subject(s) - computer science , big data , construct (python library) , mathematics education , teaching method , computer technology , teaching and learning center , field (mathematics) , data science , artificial intelligence , multimedia , data mining , psychology , mathematics , pure mathematics , programming language
Under the background of the development of big data, the research of learning analysis technology has shifted from theoretical fields to practical application fields such as teaching big data analysis and learning behavior prediction. However, it is worth noting that the wide application of big data technology has led to a large increase in text data, and how to quickly obtain accurate information has become a decisive factor in improving students’ learning ability. Therefore, this article combines the current status of computer teaching in colleges and universities to construct a data mining learning model to evaluate the effects of current college computer teaching methods. On this basis, it helps computer teachers to choose the most reasonable teaching style and teaching methods, and guide students to better master computer skills in order to achieve the best computer teaching effect.