A Study on the Application of Seq2seq in English Flipped Classroom Teaching in Colleges and Universities

Abstract

Abstract With the rapid development of educational technology, the English teaching mode in colleges and universities faces innovation challenges. As an emerging teaching mode, flipped classroom promotes students’ active learning and improves classroom efficiency by switching the order of pre-course learning and in-class activities.Seq2seq technology, as a significant application of deep learning in natural language processing, is used in flipped classroom to provide new perspectives and methods for English teaching, which is expected to stimulate students’ interest in learning and improve the quality of teaching through technological means. This study aims to examine Seq2Seq2’s ability to enhance the quality of teaching and learning. This study explores the impact of Seq2seq technology on English flipped classroom teaching in colleges and universities. Using an experimental research method, 120 first-year university students were selected as the research subjects and divided into experimental and control groups, applying Seq2seq-assisted flipped classroom teaching and traditional teaching methods respectively. The study used a pre-test and post-test design, and collected students’ English achievement and learning motivation questionnaires to analyze data. Students in the experimental group outperformed the control group in English, with a mean score increase of 6.27 points, and their motivation to learn was also improved. The students in the experimental group showed improvement in vocabulary mastery, reading comprehension, and writing ability. The study shows that applying Seq2seq technology in flipped classroom can effectively improve students’ English learning achievement and learning motivation, which is of great significance for promoting the development of English teaching in colleges and universities.