Abstract

With the needs of economic development, many colleges and universities offer German courses. However, because German course has just started in domestic universities, its teaching method is more simply to apply the ordinary German teaching mode, without too much consideration of the characteristics of higher education, and its teaching effect is not satisfactory. Therefore, the purpose of this paper is to make innovative research on German teaching mode in colleges and universities from the perspective of big data(BD). Firstly, this paper discusses the current situation of German teaching mode construction and resources in Chinese universities, and summarizes the main problems existing in contemporary German teaching mode in Chinese universities. The new teaching mode of German in colleges and universities puts the feelings of college students in the main position, guides students to learn actively through behavior guidance, and pays more attention to students’ communicative competence. This teaching mode also utilizes the storage architecture of data warehouse, combined with BD and other related technologies, and realizes the storage and update of various German teaching resources, which meets the innovative needs of universities for German teaching mode. Finally, this treatise compares the innovative modes of teaching German in universities with traditional modes of teaching. Experimental results show that the innovative mode of teaching German in college is recognized and loved by students, and their love for German has increased by about 30%, which plays a significant role in improving students’ enthusiasm for learning German and provides an important reference for the innovative research of German teaching mode in colleges and universities.

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