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- W3215678050 abstract "With the rapid development of Internet technology and educational in form at ionization, there are more and more online reading materials to choose from. But the problem that comes with it is that too many choices will make learners lose themselves in the filtering of information. Get your own reading resources accurately and effectively. The results of English level examination are not only a powerful proof of students' English listening, speaking, reading and writing ability when they graduate from employment, but also a reflection of the level of English teaching in colleges and universities. There are many hidden candidates and If the relevant information is mined and sorted out and fed back to teachers, it will have a positive effect on College English teaching. Many colleges and universities take CET-4 and CET-6 scores as the indicators of students' evaluation and graduation, and take the pass rate of the test as an important content of teachers' teaching evaluation. Among the five parts of English listening, speaking, reading, writing and translating, reading is the most important aspect to improve English learning. Reading materials with appropriate difficulty can improve learners' learning efficiency. Therefore, how to provide learners with personalized reading materials that meet their ability level and learning needs has gradually become the focus of educational technology research. In this paper, decision tree technology is used to analyze college English data, construct decision tree and put forward theoretical construction." @default.
- W3215678050 created "2021-12-06" @default.
- W3215678050 creator A5015716999 @default.
- W3215678050 date "2021-09-24" @default.
- W3215678050 modified "2023-09-27" @default.
- W3215678050 title "Theoretical Construction of the Analysis Model of College English Needs Based on Decision Tree Technology" @default.
- W3215678050 cites W3031451712 @default.
- W3215678050 doi "https://doi.org/10.1145/3482632.3482729" @default.
- W3215678050 hasPublicationYear "2021" @default.
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