Abstract

Aiming at the problem of computer network courses with more teaching content and rapid knowledge update, the paper builds a computer network adaptive learning system by collecting learning behaviour data in the education process and using the learning analysis technology of big data. The six modules of prediction and intervention can push learning content in a targeted manner, give feedback on learners’ learning effects in time, and recommend next learning strategies, so as to achieve the effect of teaching students in accordance with their aptitude and cultivating students’ independent learning ability.

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