Multiagent Culture Algorithm-Based Interactive Design of College English Online Teaching Process

Abstract

Traditional educational techniques and conceptions no longer match the need of the society for talent training. It is due to the fact that educational reforms are deepening and more open interactive teaching models have begun to be gradually implemented in college English instruction. The method’s innovation and reform can not only fully respect the students’ dominating position but also entice students to devote themselves to the English classroom with greater zeal which is helpful in allowing for deeper knowledge discovery and thinking. This study has the motive to examine the interactive teaching mode’s application tactics in college English classrooms, particularly with the goal of improving the effectiveness of English classroom teaching and promoting the high-quality growth of today’s college students. Furthermore, in order to improve the interactivity of online English teaching in colleges and universities, this research proposes an intelligent conversation system based on multiagents to aid in the improvement of online teaching. Finally, using a public discourse corpus dataset for implementation, the proposed model proves to have better performance than existing state of the art approaches.