The Construction of Teaching Resource System of Fine Arts Based on Big Data









Abstract

In recent years, the number of built in fine arts teaching resource and click-through rates increased rapidly, but many resources database based on the traditional online learning system, teaching paths of a single, one-sided emphasis on “hits”, reduced to “material center” and other issues, and students before that the huge resource repository is difficult to find suitable for their own learning resources and learning route, this study by collecting large amounts of log data, based on the technology of data mining in the fine arts professional learning in the process of learning behavior data, through the study of artificial intelligence algorithm analysis to construct characteristic model, to recommend learning path, the object, Effectively use the established online learning system to improve the learning efficiency of learners.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL