Construction of Ecological model of English Experimental Teaching in Universities based on Generative Artificial Intelligence Technology

Abstract

Introduction:In the current era of continuous development of modern technologies, educational work should keep up with the trend of the times. New technologies should be introduced and applied to practical educational work to create personalized classrooms. While attracting students' attention, it can also enrich the content of classroom teaching and improve the quality and efficiency of learning. In view of the actual situation of classroom teaching, an ecological model of English experimental teaching should be constructed, with generative artificial intelligence technology applied to it, so as to create brand-new English classrooms and focus on cultivating students' autonomous learning ability and exploratory learning ability.

Objectives:Generative artificial intelligence technology has certain reasoning logic and creative thinking, and it can simulate the way humans think. In the construction of college English classrooms, this technology can be utilized for teaching design, personalized tutoring and so on to achieve the expected teaching results and prompt students to gradually improve the construction of their personal language systems during the process of classroom learning.

Methods: Literature analysis method: Through the systematic sorting and analysis of relevant research literature at home and abroad, the application status, advantages and disadvantages of generative AI in personalized language learning path design are summarized. Key reference journals, academic conference papers and practical cases, to provide theoretical support and research perspectives for this topic;Investigation and research method: adopt the form of questionnaire and interview to collect the experience and suggestions of students and teachers on the use of generative AI-assisted learning path, evaluate the actual effect of the method from both quantitative and qualitative aspects, and optimize the research plan accordingly;Action research method: Taking the actual teaching situation as the research scenario, the generative AI technology is applied to different types of courses, through continuous observation and adjustment, record the key links and results in the improvement process, to provide practical basis for the promotion and application of the project results; Ecological model construction strategy of English experimental teaching in universities based on generative artificial intelligence technology.

Results: During the process of technology application, it empowers the development of foreign language education, realizes personalized learning, and effectively improves the quality and efficiency of learning. The AI system can track the learning progress of each student in real time, flexibly adjust the difficulty of courses and exercises, break the limitations of traditional education, and better meet the actual needs of different students; students can improve their oral communication abilities through real conversations when they practice after class, which also alleviates the work pressure on teachers.

Conclusions: In order to better promote the development of English teaching, currently, generative artificial intelligence technology is applied to English classroom teaching. An experimental teaching ecological model is constructed, a blended learning plan is designed, an intelligent tutoring system is introduced, the construction of the teacher-student interaction platform is strengthened, and students' autonomous learning abilities are cultivated, so as to achieve the expected teaching results.