Study on the path of implementing basic Russian language teaching in Chinese universities in the era of big data

within the framework of the “Digital China” strategy, Chinese universities offering Russian as a Foreign Language courses are actively utilizing big data technologies to update and improve teaching methods, such as Chaoxing Learning Pass, Rain Classroom, and other educational platforms to enhance learning effectiveness. This paper describes how to assign individualized tasks to students on these educational platforms, such as Chaoxing Learning Pass and Rain Classroom, to achieve the best learning outcomes. It includes the analysis of student learning data and the learning situation using aggregated big data information resources, the restructuring of the learning regime, and the motivation for students’ autonomous learning. In order for teachers to improve the relevance and effectiveness of their instruction, we call upon pioneering educators to fully employ big data technologies to enhance the capabilities of teaching programs, create an effective and personalized learning environment, and foster the all-round development of both teachers and students.

Big Data Platform Chaoxing Learning Pass, Rain Classroom, individualized homework, academic assessment, teacher empowerment