College English is one of the basic core courses for college students in China. This course involves many difficult concepts and grammatical structures, which is very difficult for most students. The starting point of any teaching plan is to determine whether teaching is needed to specify what teaching should accomplish. Therefore, the needs of students are the key to the success of College English teaching. The traditional college English teaching does not consider the students' individual learning ability and feedback, which will lead to the students' lack of key knowledge and make them lose interest in English. This paper discusses the cognitive and motivational effects of animation teaching agent and alternative delivery system (simple flashing arrow with audio) when college English level students learn English relative clauses in big data and multimedia environment. This study also examined the cognitive efficiency of the two media systems in English grammar teaching. Therefore, the platform can improve students' autonomous learning ability and English ability. The results show that: in 2020, 601 papers with "artificial intelligence" and 526 papers with "English Teaching" as keywords will be published the most.

Huan Liu. Path of College English Teaching Reform under the Background of Big Data. International Journal of Educational Innovation and Science (2021), Vol. 2, Issue 4: 8-14. https://doi.org/10.38007/IJEIS.2021.020402.

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