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Research on Application Platform of College English Teaching Based on Hadoop Data Bus

  • Lei Shen,
  • Meichun Yang,
  • Wentong Zhang,
  • Haie Jia

摘要

We have studied the application platform of college English teaching based on Hadoop data bus. The working principle of college English teaching application research is to use artificial intelligence (AI) to analyze the content of each curriculum plan for learners, and then use this information to create a personalized learning plan with customized exercises. These customized courses are provided through interactive video lectures driven by artificial intelligence, which are synchronized with students’ personal devices or computers so that they can learn at their own pace. The research is divided into four parts: (1) Investigation of existing Hadoop based applications; (2) Develop a prototype application to collect and analyze big data using MapReduce framework in Hadoop; (3) Analyze performance characteristics, such as scalability and throughput; (4) Comparison with other frameworks (such as RDBMS).