With the continuous development of globalization, communication among countries around the world is increasingly frequent, and multicultural integration has become the mainstream of the development of the current era. Language, as the carrier of multicultural integration, is an important tool to promote international communication and integration, especially English, as an international language with the largest number of users and the widest range, has extensive practicability and communication. With the continuous deepening of China's reform and opening up, communication with foreign countries has become increasingly close. English has become a basic language skill that college students must master proficiently. The transformation of English education is an inevitable trend that conforms to the development of the times. However, in the current process of English teaching in universities, there are outdated educational ideas and methods, and English teaching and cross-cultural awareness cultivation have not been effectively combined, Causing a lack of interest in English among college students, the inability to truly apply learning outcomes to practical situations, and the loss of its true significance in English teaching. This article analyzes the important impact of the current multicultural integration environment on college English teaching, as well as the problems existing in contemporary college English teaching practice, and proposes targeted transformation paths for college English education in the context of multicultural integration.

Under the developing trend of artificial intelligence (AI) technology gradually penetrating all aspects of society, the traditional language education industry is also greatly affected ^[1]. AI technology has had a positive impact on college English teaching, but it also presents challenges and negative impacts. On the positive side, AI technology can provide personalized learning experiences, real-time feedback, and autonomous learning opportunities, and so on. However, it may also lead to a lack of communication between students and humans, resulting in a decline in students’ interpersonal skills, and cause students’ dependence on online learning resources as well as possible risks to student data privacy and security, and other negative impacts. To address these challenges, teachers can adopt the following countermeasures: improving teachers’ skills in the use of AI technology incorporated in the classroom, offering personalized instruction to reduce students’ dependence on AI technologies, emphasizing the cultivation of students’ humanistic literacy and interpersonal communication ability. Additionally, colleges and technology providers should strengthen data security and privacy protection to ensure the safety and confidentiality of student data. By implementing comprehensive measures, we can maximize the advantages of AI technology in college English teaching while overcoming potential issues and challenges.

English writing is an important output skill cultivated in college English courses. And in the age of informationization, college English writing teaching relies on the support of information technology. In order to cope with the solution of this dilemma, Production-Oriented Approach(POA) proposes Teacher-Student Collaborative Assessment (TSCA), which creates a new form of assessment. Through TSCA, teachers can not only alleviate the heavy teaching load, but also fully tap the network resources to efficiently use students' time before, during and after class to maximize and optimize the teaching effect. In this paper, the teaching concept of TSCA is used to conduct writing teaching experiments, to study and analyze the writing ability of students who write effectively, so as to provide insights for the practice of English writing teaching.