An Empirical Study on Continuation Writing in Senior High School English from the Perspective of Deep Learning — Taking the Mid-term Examination in the First Semester of Senior Two in 2024 as an Example
This research is rooted in the theory of deep learning and focuses on the teaching practice of English continuation writing in senior high school. Taking 54 students in a certain class of senior two as the research objects, an in-depth exploration was carried out centering on the mid-term examination of the first semester of senior two in 2024. Through carefully designing and implementing a series of teaching strategies based on deep learning, such as in-depth text interpretation, collaborative interactive writing, and reflective evaluation optimization, the performance of students in continuation writing and their mid-term examination scores were compared and analyzed before and after the implementation of the strategies. The research results show that deep learning strategies significantly improve students’ continuation writing abilities, which are prominently reflected in the rationality of plot construction, the richness of language expression, and the logical coherence. Moreover, the scores of students in the continuation writing section of the mid-term examination have been greatly increased, providing valuable empirical evidence and practical directions for the optimization and innovation of English reading and writing teaching in senior high school.