Design of the Mixed Oral English Teaching Method Based on the Hierarchical Aggregation Algorithm

Abstract

As a key skill for language learners, oral communication ability is one of the most important factors to measure one person’s overall quality. Being a widely used language, English has become an important communicative medium worldwide. Oral English teaching is an important part of the whole process of English learning and is generally an emerging topic for the education circle. However, the traditional oral English teaching model has no significant effect on improving oral English performance. Therefore, this paper studies the mixed oral English teaching model under the guidance of core qualities. The connotation of core literacy of oral English is analyzed and the general framework of the core literacy system of oral English is constructed. Then, the relationship between the four elements of English subject core literacy is examined based on the classification of the spoken English teaching resources. Next, the integration of spoken English teaching resources is realized and the oral English knowledge ontology and the cultural differences between Chinese and Western analysis are explored. Finally, a task-based oral English teaching hybrid model is developed. The experimental results show that there is a significant difference in the oral English level of the students before and after the experiment. The model can improve the overall quality and overall performance of English learning for our society.