Abstract
With the advancement of big data and neural network technology, flipped classroom informatization has shifted the traditional order of knowledge transfer and internalization, emphasizing students’ autonomous learning before class, knowledge absorption, and knowledge completion in class with the assistance of teachers. Students’ internalization and consolidation create the conditions for individualized learning. In foreign teaching, the benefits and feasibility of the flipped classroom have been demonstrated, and it is a promising new teaching model. Although recent research on oral English teaching in Chinese universities has yielded promising results, students’ classroom activity and participation remain low, learning initiative is lacking, and opportunities and time for oral training are insufficient. This article uses flipped classroom, big data, and neural network technology to teach college oral English classes, with the goal of determining whether the flipped classroom model can help students improve their oral English proficiency and self‐learning ability, as well as exploring students’ attitudes toward the flipped classroom model. This paper first proposes a big data and deep neural network‐based algorithm for detecting oral English pronunciation errors, which can be used for self‐correction of students in the flipped classroom mode to improve the quality of oral English teaching. Finally, we also conducted simulation experiments, and the experimental results show that our algorithm is 4.12% better than SVM.
Highlights
A series of teaching reforms [1,2,3] have been carried out, there are still many problems in English teaching in China [4,5,6]
It can be seen from the distribution table that misreading errors account for 77.9% of all pronunciation errors, which is the main type of error
Because the English learning database is relatively small, the underlying network structure used in the W experiment is relatively small
Summary
A series of teaching reforms [1,2,3] have been carried out, there are still many problems in English teaching in China [4,5,6]. Many new inspirations and concepts will be integrated and put into practice in the teaching process of flipped classroom. It stimulates students’ interest in learning, and develops students’ independent learning ability and cooperative research ability. The incorporation of big data and neural network technology into the process of subject teaching innovation, as well as the realization of deep integration between information technology and subject teaching, has become a hot topic of current research in this context. Teaching concepts and teaching activity design continue to innovate and present a diverse development as a result of continuous advancement and in-depth research
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