Optimization Strategy for Blended Teaching Resources of College English Reading Based on Network and New Media Technology,ERICDATA高等教育知識庫
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篇名
Optimization Strategy for Blended Teaching Resources of College English Reading Based on Network and New Media Technology
並列篇名
Optimization Strategy for Blended Teaching Resources of College English Reading Based on Network and New Media Technology
作者 Tian-Hua LuGuang-Hua Li
英文摘要

The blended learning model combining online and offline teaching has been widely promoted in universities due to its greater flexibility and richer course resources. The main research content of this article is to focus on online teaching content, fully utilize fragmented time of students, and recommend reasonable online English learning and reading resources for students. Firstly, the real needs of students for English reading resources were investigated and analyzed from the perspective of students. Through interviews or questionnaires with students from different majors, genders, and learning scenarios, the needs of students were analyzed in depth. Then, a personalized online English reading resource recommendation model based on multi-source fusion was established. The model is divided into four levels: data collection module, multi-source information fusion module, information aggregation module, and application layer module. Finally, in order to verify the effectiveness of the method proposed in this article, real school students were selected as the target audience for recommendation. A model was used to obtain the demand profile of English reading resources from students, and then targeted reading resources were provided. The recommendation results met the requirements of the strategy design in this article.

 

起訖頁 225-239
關鍵詞 online readingintelligent algorithmsdata analysis
刊名 電腦學刊  
期數 202406 (35:3期)
DOI 10.53106/199115992024063503016   複製DOI
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