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This article tries to analyze the value behind the data, students' learning styles, learning behaviors and learning strategies through a systematic study of the technology required in the Big data and formative assessment. Besides, track and record the whole process of the students' learning activities by Cloud Computing and Big data technology. It aims at establishing a new learner-center model of college foreign language learning and provides theoretical support for cultivating college students' ability in autonomous learning and lifelong learning. It is of theoretical significance for the intensive study of autonomous learning. Study results can be applied to the teaching practice of college foreign language and find support for data-driven accurate teaching. Study results can also diversify the foreign language teaching process, improve the college students' comprehensive application abilities and meet the needs of teachers and students to some extent.
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