Research on Vocational Student Personalized Learning Recommended Model

DOI

10.2991/icemit-15.2015.166How to use a DOI?

Keywords

resource overload, collaborative filtering, learning progress predictive, e-learning model, personalized learning

Abstract

With the rapid development of Internet technology, E-learning as a new learning model has been favorable for most higher education, but the overload problems for network learning resources make students difficult to get more available learning resources. This paper discusses the characteristics of vocational students. This paper describes relationship between students and learning resources based on the collaborative filtering, learning progress and forecast recommendation algorithm. This paper presents a personalized learning recommendation models, so that the students could easy extend and migrate expertise to get in personalized learning. At last the optimization models for recommendation algorithms and feedback data are proposed.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - YingHua Zha
AU  - QisHen Zhu
PY  - 2015/10
DA  - 2015/10
TI  - Research on Vocational Student Personalized Learning Recommended Model
BT  - Proceedings of the International Conference on Education, Management and Information Technology
PB  - Atlantis Press
SP  - 800
EP  - 805
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemit-15.2015.166
DO  - 10.2991/icemit-15.2015.166
ID  - Zha2015/10
ER  -