Research on college English teaching based on data mining technology
Abstract To 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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-11-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-021-02071-6 |
| _version_ | 1819014960237248512 |
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| author | Jinhui Duan Rui Gao |
| author_facet | Jinhui Duan Rui Gao |
| author_sort | Jinhui Duan |
| collection | DOAJ |
| description | Abstract To 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. |
| first_indexed | 2024-12-21T02:24:08Z |
| format | Article |
| id | doaj.art-8d078d60bcad44d6b371adbf3adcb11e |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-21T02:24:08Z |
| publishDate | 2021-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-8d078d60bcad44d6b371adbf3adcb11e2022-12-21T19:19:02ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992021-11-012021111210.1186/s13638-021-02071-6Research on college English teaching based on data mining technologyJinhui Duan0Rui Gao1Kunming University of Science and Technology Oxbridge CollegeDigital Hollywood University Graduate SchoolAbstract To 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.https://doi.org/10.1186/s13638-021-02071-6Data miningClassificationDecision treeClassification rules |
| spellingShingle | Jinhui Duan Rui Gao Research on college English teaching based on data mining technology EURASIP Journal on Wireless Communications and Networking Data mining Classification Decision tree Classification rules |
| title | Research on college English teaching based on data mining technology |
| title_full | Research on college English teaching based on data mining technology |
| title_fullStr | Research on college English teaching based on data mining technology |
| title_full_unstemmed | Research on college English teaching based on data mining technology |
| title_short | Research on college English teaching based on data mining technology |
| title_sort | research on college english teaching based on data mining technology |
| topic | Data mining Classification Decision tree Classification rules |
| url | https://doi.org/10.1186/s13638-021-02071-6 |
| work_keys_str_mv | AT jinhuiduan researchoncollegeenglishteachingbasedondataminingtechnology AT ruigao researchoncollegeenglishteachingbasedondataminingtechnology |