Oral English teaching is the weakest link in multimedia English teaching at this stage. English teachers are constantly exploring effective approaches to improve oral English Teaching in their own educational practice. The big data multimedia English teaching mode conforms to embark on the historical stage. Firstly, this paper constructs the big data architecture of English teaching model mining and divides the construction of the teaching model into three parts: data mining, teaching model evaluation, and improvement optimization. Data mining uses the advanced DBN network to send data into the DBN-DELM network, which significantly improves the accuracy of the multimedia assisted English construction model. The simulation results show that teaching mode construction based on big data can effectively improve students’ interest in English learning; attitude; and oral English level including pronunciation, pronunciation and intonation, dialogue and communication, and oral expression and improve students’ group cooperation and communication ability, autonomous learning ability, evaluation consciousness, and ability.

中文翻译：

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大数据网络环境下多媒体辅助英语教学模式的构建

英语口语教学是现阶段多媒体英语教学中最薄弱的环节。英语教师在自身的教育实践中不断探索提高英语口语教学的有效途径。大数据多媒体英语教学模式顺应走上历史舞台。本文首先构建了英语教学模式挖掘的大数据架构，将教学模式的构建分为数据挖掘、教学模式评价、改进优化三部分。数据挖掘使用先进的DBN网络将数据送入DBN-DELM网络，显着提高了多媒体辅助英语构建模型的准确率。仿真结果表明，基于大数据的教学模式构建能够有效提高学生的英语学习兴趣；态度; 和口语水平包括发音、发音和语调、对话和交流、口头表达，提高学生的小组合作和交流能力、自主学习能力、评价意识和能力。