Machine Learning Model-Based English Project Learning and Functional Research

Abstract

Under the background of the rapid development of machine learning and information technology, traditional classroom mode is gradually replaced by media classroom. To tackle abstract and incomprehensible problems and restricted practical teaching in practical teaching, online classroom design principle is utilized to embody the classroom optimization and design principle of English language teaching from the perspective of machine learning based on English project learning. Based on the advantages of digitization, deep learning algorithm is used to establish classroom application model by information input. Besides, English language and relevant language application scenarios are presented from the perspective of machinery. The simulated textbook contents and relevant extended knowledge points are displayed in classrooms by online teaching. The current advantages of Internet communication are combined with machine learning algorithms for field simulations and calculations on the relevant course content of English subjects. The actual operation process in the English learning process is realized through the online form of the network. It ensures the stability and transmission accuracy of online classrooms, reduces information omission and loss during data transmission, and obtains the optimal solution for data simulation in real-time scenarios. Relevant researches demonstrate that machine learning combined with online classroom design breaks through the face-to-face book teaching in traditional classrooms by the dynamic demonstration of life and actual work scenes and entity innovations as well as design. Besides, it stimulates students’ interest in English courses, enhances the overall learning rate, promotes more significant effects of English project learning, and is conducive to the cultivation of comprehensive language talents in the new age.