PoS - Proceedings of Science
Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session V - Date Analysis
A Recommendation System Based on the Education Big Data for E-learning
L. Ni*, L. Yanshen and L. Yi
Full text: pdf
Pre-published on: July 17, 2017
Published on: September 06, 2017
Abstract
In order to enable learners to filter the electronic learning materials in the context of education big data, a recommendation system based on the education big data for E-learning is presented
in this paper. This paper introduces the basic theory of the membership relations among the learning contents attributes, and establishes the theoretical model of recommendation model based on education big data. The model is built through three steps: setting up the primary fuzzy recommendation demand set, setting up the advanced fuzzy recommendation requirements set and designing a fuzzy recommendation algorithm. And also, this model has designed the framework and functional architecture of the fuzzy recommendation system for learning content. According to the learners' learning situation, the system can select proper learning content and inform learners of the real-time information. The system improves the efficiency of the job selection, and solves the technical problem of the design of the electronic job system in the construction of E-book package. The model is stable, reliable and easy to use.
DOI: https://doi.org/10.22323/1.299.0091
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.