Vocabulary Instruction for Chinese Middle School Students Empowered by GPT

Abstract

The purpose of this paper is to explore how GPT (Generative Pretraining Transformer) technology can play a role in teaching English vocabulary to Chinese secondary school students. First, with the differences in students' vocabulary mastery levels, it is often difficult for traditional teaching methods to provide personalized learning support for each student, while GPT can provide customized, interactive and scalable vocabulary learning solutions. Second, this paper provides an in-depth analysis of the specific applications of GPT in vocabulary teaching, including how students can interact with GPT to understand the meaning of words, practice in sentences, and participate in simulated conversations. In addition, GPT is able to provide follow-up learning suggestions based on students' progress, helping students to make continuous progress in the process of vocabulary learning. Finally, the paper highlights the potential impact of GPT on vocabulary instruction, particularly in terms of improving students' long-term memory of vocabulary learning and enhancing flexibility and accessibility of learning. By combining with traditional teaching methods, GPT provides teachers with a richer set of pedagogical tools to promote a more personalized and interactive education and to meet the diverse needs of secondary school students in vocabulary acquisition. Overall, GPT technology can effectively improve Chinese secondary school students' English vocabulary acquisition and memorization and promote the transformation of vocabulary teaching mode.