Gang Cen, Zeping Yang, Wen Zhou, Tianxiang Feng, and Sifan Wu
Big data, decision making, education informatisation, personalised reading, intelligent recommendation
With the advent of the era of big data, it is possible to measure teenagers’ reading in detail. It is particularly important to rely on big data mining and decision analysis system for data capture and intelligent recommendation. In order to realise personalised reading, promote teenagers’ reading and assist teachers and education managers to make appropriate decisions, a personalised reading education platform named “YunPi” under big data-driven decision- making scheme is designed. Through the analysis of a large number of teenagers’ reading data in a specific area, the visual reading report is generated and fed back to students and teachers for reference. Combined with the analysis of the application scenario of the platform in the future development of personalised reading, it proves that the platform can provide technical support for personalised services. Also, it can help young people improve their reading ability and core literacy, and offer a basis for scientific decision making in reading education.
Important Links:
Go Back
