Classification Tree Models in the Precision Teaching of Foreign Languages
Authors: 
Ran Li, Qiaoying MingAuthors Info & Claims
Ran Li, Qiaoying MingAuthors Info & ClaimsPages 1536 - 1540
Abstract
Precision teaching involves the observation, description, documenting and analysis of the process of teaching and learning through the utilization of measuring and drawing tools. However, in the precision teaching of foreign languages, the embedding of techniques for data surveying, mapping and visualization is still inadequate, lacking the data decision tools with high operationality. Targeted at the above-mentioned practical issues, this article summarizes the traits and training sets and builds the learner, learning process and teaching process classification tree models applicable in the precision teaching of foreign languages, expounding the corresponding functions and application, to provide the feasible data visualization and data decision tools for the precision teaching of foreign languages.
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Published In
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 November 2021
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- Research-article
- Research
- Refereed limited
Funding Sources
- This work was financially supported by the 2020 Annual Project fund of the 13th Five-Year Plan of Shaanxi Provincial Education Science
Conference
ICISCAE 2021
ICISCAE 2021: 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education
September 24 - 26, 2021
Dalian, China
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