With the deepening and development of world education reform, the theory of multiple intelligences has been increasingly accepted and recognized by international and domestic educators with its outstanding advantages and positive effects. Quality education has been implemented in our country for many years, and domestic education reforms have also made some achievements. This article mainly introduces BP neural network(BPNN) and hill climbing algorithm(HCA). Based on the big data, this paper uses artificial intelligence(AI) to detect college English(CE) teaching and establishes a mathematical model of potential pre- and post-test. The mountain climbing algorithm is used to solve the problem, and it also identifies the status quo of AI in CE teaching, and corrects model parameters through past data to improve teaching quality. The results found that the BPNN and the HCA have increased the effect of college English teaching by 33%, and increased students' interest in learning English. However, our country's artificial intelligence has not been established in CE teaching, so that the use of AI cannot be fully carried out.

Yun Li. Artificial Intelligence in College English Teaching under the Background of Big Data. International Journal of Big Data Intelligent Technology (2022), Vol. 3, Issue 2: 1-7. https://doi.org/10.38007/IJBDIT.2022.030201.

[1] Dong Bing. Research on the Application of Project-based Learning in College English Teaching in the Internet+Era. Science and Education Wenhui, 2016, 000(006):173-174.

[2] Hong Changchun. A Study on the Construction of College English Ecological Teaching Mode in the Age of Artificial Intelligence. Foreign Language Audiovisual Teaching, 2018, 000(006): 29-34.

[3] Shuli, Zou. Designing and Practice of a College English Teaching Platform Based on Artificial Intelligence. Journal of Computational and Theoretical Nanoscience, 2017, 14(1):104-108. DOI:10.1166/jctn.2017.6133

[4] Liu Yongfen, Lai Xiaoyan, Li Panpan. Research on the Python Case Teaching in the Background of Artificial Intelligence. Computer Age, 2019, 000(004):89-92. DOI:CNKI:SUN:JSJS.0.2019-04-027

[5] Chan M T , Chan J T , Gelowitz C , et al. Application of Video Game Artificial Intelligence Techniques for Design of a Simulation Software System for Transportation Engineering Education. The international journal of engineering education, 2016, 32(1B):542-552.

[6] Lin P H , Wooders A , Wang T Y , et al. Artificial Intelligence, the Missing Piece of Online Education?. IEEE Engineering Management Review, 2018, 46(3):25-28. DOI:10.1109/EMR.2018.2868068

[7] Farah A, Guesmi T, Abdallah H H. A New Method for the Coordinated Design of Power System Damping Controllers. Engineering Applications of Artificial Intelligence, 2017, 64(sep.):325-339.

[8] Porayska-Pomsta, Ka?ka. AI as a Methodology for Supporting Educational Praxis and Teacher Metacognition. International Journal of Artificial Intelligence in Education, 2016, 26(2):1-22. DOI:10.1007/s40593-016-0101-4

[9] Aleven V, Roll I, Mclaren B M, et al. Help Helps, but Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, 2016, 26(1):205-223. DOI:10.1007/s40593-015-0089-1

[10] Mostafavi B, Barnes T. Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements. International Journal of Artificial Intelligence in Education, 2016, 27(1):1-32. DOI:10.1007/s40593-016-0112-1

[11] Liu P H, He S B. Analysis of Teaching Reform Mode Based on Cognitive Computing System - An Example of Dragon Boat Teaching. Cognitive Systems Research, 2018, 52(DEC.):978-984. DOI:10.1016/j.cogsys.2018.09.013

[12] Bai Huijuan. Research on the Application of Flipped Classroom in College English Teaching. Journal of Hubei Correspondence University, 2016, 029(013):146-147.