Academic Diagnosis in College English Teaching Supported By Data Mining

2021 ◽  
Author(s):  
Qiaoe Ni ◽  
Weiwei Zeng
Keyword(s):  
Data Mining ◽  
College English ◽  
English Teaching

Research on data mining equipment for teaching English writing based on application

2020 ◽  
pp. 1-7
Author(s):  
Bo Li ◽  
Zheqian Su
Keyword(s):  
Data Mining ◽  
Structural Design ◽  
College Teaching ◽  
Mining Equipment ◽  
Writing Ability ◽  
College English ◽  
English Teaching ◽  
English Writing ◽  
Teaching Guide ◽  
Correlation Factors

“College English teaching guide” puts in forth unique challenges and needs for College teaching skills of English. It is pressing to cultivate innovative talents with quality writing in English. Teaching in English, as a subject to check the mastery of students’ English knowledge. The successful instructional project of English writing is an assurance and support smooth growth of English writing. It can make education get double the efforts, and allow the students development.’ writing ability y, but in fact, the current situation of structural design of writing English in college is not optimistic. With the rise of “Web in addition to”, varying backgrounds have experienced emotional changes. “Web in addition to training” has become a pattern of advancement, which has brought new chances and difficulties for the educating and learning of College English composition. This research first describes the research status of data mining and College English writing at places of abroad and input the future the content of research and methods of research. Taking college English writing teaching as the research object, the association rules algorithm in data mining is applied to analyze the correlation factors of students’ writing performance and provide decision-making suggestions for teachers’ teaching.

scholarly journals Research on college English teaching based on data mining technology

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Jinhui Duan ◽  
Rui Gao
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Data Conversion ◽  
Tree Model ◽  
Mining Technology ◽  
Processing Technologies ◽  
College English ◽  
English Teaching ◽  
School Teaching

AbstractTo improve the efficiency and quality of college English teaching, we analyzed the feasibility and application process of data mining technology in college English teaching. The entire process of data classification mining was fully realized. A new teaching program was proposed. The object and target of data mining were determined. Online surveys were used to collect data. Data integration, data cleaning, data conversion, data reduction and other pre-processing technologies were adopted. The decision tree was generated by using the C4.5 algorithm, and the pruning was carried out. The result analysis decision tree model was completed. A detailed survey of the students' English learning in University was made in detail. The results showed that the qualified rate of students' English performance was increased from 20–30% to 50–60%. Therefore, the classification rules provide theoretical support for the school teaching decision. This method can improve the quality of English teaching.

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