Abstract
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.
Highlights
The information age has become the pronoun of the 21st century, and people’s learning way for English have undergone great changes
Real time performance: the real-time performance of data real-time data platform (DRTDP) determines that DRTDP must complete related services in data transmission and forwarding, which is characterized by low delay and can be processed by the analysis model in time
The results show that the scores of the traditional control group are rising steadily with the recommendation of time, and the multimedia English teaching mode based on flipped classroom can achieve good teaching results over time
Summary
The information age has become the pronoun of the 21st century, and people’s learning way for English have undergone great changes. The definition of the concept of teaching mode given in the literature [7] is teaching mode is commonly known as the big method. Literature [10] believes that big data will bring fundamental changes to modern education, including the implementation of two-way education feedback that cannot be carried out in the past, the realization of customized teaching to realize the individual conditions, and the optimization of content, time, and methods for teaching through probability prediction. According to the literature [12], big data technology can digitize process (including teaching materials and learning activities): the solution of teaching scores will no longer depend on the fuzzy experience of teachers, but based on the description and analysis of massive teaching mode and their solutions.
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