Application Analysis of Nursing Students' Grades in Course Relevance Based on Association Rule Mining Algorithm Apriori

Data mining as a data analysis technology is becoming more and more widely used in the field of education. The article firstly studies the theory of data mining technology under the analysis of AI productivity, proposes an improved algorithm of Apriori to improve the mining speed of association rules, and finally proposes a model of student cultivation in higher vocational colleges and universities based on relevant theoretical research. Under the guidance of the model and assumptions, a higher vocational college in Zhejiang Province is used as the research object to verify the effectiveness of the algorithm and model proposed in this paper and to analyze the relationship between student cultivation, student performance, and student employment. By using association rules and other methods to mine student employment data and calculate the factors affecting student employment, such as the province of the employment unit, the type of city of the employment unit, the student’s major, and the student’s place of origin. From this, it can be concluded that data mining technology can provide many effective data analyses for the cultivation of students in higher vocational colleges and universities through fair and objective statistics and analysis in order to better promote the talent cultivation program of higher vocational colleges and universities.

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Innovative Strategies for Language Education in the Context of Media Convergence - From Traditional to Digital Media

Yang

2024

Applied Mathematics and Nonlinear Sciences

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Based on the special nature of language subjects, if the teaching methods adopted by teachers in the language classroom are not appropriate, it is easy to make the classroom atmosphere boring and depressing, which is not conducive to mobilizing students’ learning initiative. The use of digital media technology is more likely to increase students’ enthusiasm for learning and enhance the teaching impact. To address language education’s shortcomings, this paper utilizes digital media technology to enhance language education through media integration. In order to evaluate the teaching effect of integrating digital media in language teaching, this paper combines the Apriori algorithm and C4.5 algorithm to analyze the knowledge and information about the teaching law and teaching situation from a large number of teaching evaluation results, which is used to judge the effect of the application of digital media in language teaching, after comparing the combination algorithm with the traditional rule-mining algorithm. The Apriori algorithm is applied to secondary school language teaching, incorporating digital media for correlation analysis, and the pre-processed dataset is mined and the quality of language teaching in digital media has a great relationship with the quality of teaching and the content of teaching. In this paper, based on the Apriori-C4.5 mining algorithm, we can analyze the factors associated with teaching effectiveness and propose strategies for digital media application in language education innovation.

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Application Analysis of Nursing Students' Grades in Course Relevance Based on Association Rule Mining Algorithm Apriori

Cited by 4 publications

References 6 publications

Research on Association Rule Mining Algorithm Based on FP-tree

Research on Association Rule Mining Algorithm Based on FP-tree

The Analysis of AI Productivity and Its Implications for the Training of Students in Higher Vocational Colleges

Innovative Strategies for Language Education in the Context of Media Convergence - From Traditional to Digital Media

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