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- W4387570091 abstract "With the advancement of information technology, various industries have experienced rapid development, but the education sector has lagged behind in embracing information-driven progress. The majority of educational institutions continue to rely on traditional teaching models, where teachers assess and make instructional decisions based on their personal experiences, akin to the blind men feeling the elephant. Consequently, the need to leverage data technology for learning analysis, implement personalized teaching approaches in Teaching English to Speakers of Other Languages (TESOL), and acknowledge students’ individual differences has become a pressing concern in TESOL research. This paper presents an overview of the development background and significance of data mining technology, the process of data mining, and the mining tools employed in this study. Furthermore, it introduces the creation of a personalized online platform and relevant theories. Subsequently, a controlled experiment was conducted, utilizing students’ online learning behaviors. The experimental group consisted of Grade 7 (1) students, while Grade 7 (2) students formed the control group. Through comparative analysis, it was established that after personalized learning facilitated by a WeChat network platform, the average scores of the experimental group surpassed those of the control group. Notably, significant changes in learning attitudes were observed as well. Initially, only 20 students expressed interest in English learning, whereas during the experiment, this number increased to 39 students demonstrating an interest in English learning." @default.
- W4387570091 created "2023-10-13" @default.
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- W4387570091 date "2023-01-01" @default.
- W4387570091 modified "2023-10-13" @default.
- W4387570091 title "English Learning Analysis and Individualized Teaching Strategies Based on Big Data Technology" @default.
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- W4387570091 doi "https://doi.org/10.1007/978-3-031-38651-0_42" @default.
- W4387570091 hasPublicationYear "2023" @default.
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