Author(s)

Shuguang Cui, Haixia Wang

Corresponding Author

Haixia Wang

ABSTRACT

Data-driven personalized learning is gradually becoming a reality. Personalized learning service aims to meet learners' personalized, precise and intelligent learning needs. Online recommendation system can automatically identify learners' personalized needs and actively recommend learning paths that meet users' needs, thus improving the personalized service level of online learning system. As national applied high-quality technical talents, higher vocational students' individualized development not only meets their own development needs, but also caters to the development direction of social talent needs. Online learning systems usually contain a lot of learning content, and it is often difficult for learners to find the learning path that best meets their needs. Therefore, under the background of big data era, personalized learning of higher vocational students is an important topic worth exploring. This paper discusses the personalized and accurate recommendation strategy of higher vocational students' learning content driven by big data.

KEYWORDS

Higher vocational students; Personalized recommendation; Big data