DocumentCode
3237979
Title
The Research of Learning Resources System Based on Intelligent Push and Full-stack MVC Architecture
Author
Jun Chen ; Jiegen Zhang ; Chunping Du
Author_Institution
High Performance Comput. Center, Central South Univ., Changsha, China
fYear
2012
fDate
6-8 Nov. 2012
Firstpage
433
Lastpage
436
Abstract
The traditional learning resources system gathered a mass of heterogeneous data. It is deficient in intelligence and personalization. Its development is complicated and long period. Learners acquire desired resources only through tedious frequent search. In view of shortcomings found in traditional learning resources system, this paper applied data mining technologies to the research of intelligent push while using Ruby on Rails´ full-stack MVC architecture for the system development. The system framework and algorithm is designed in this paper. Studies show that the intelligent push technologies and agile development methods can effectively improve the efficiency of learning resources utilization and cut down the development cycle.
Keywords
data mining; learning (artificial intelligence); software architecture; software prototyping; agile development methods; data mining technologies; full-stack MVC architecture; intelligent push MVC architecture; learning resources system; Algorithm design and analysis; Artificial intelligence; Clustering algorithms; Collaboration; Data mining; Databases; Rails; data mining; full-stack MVC architecture; intelligent push; learning resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4673-3072-5
Type
conf
DOI
10.1109/GCIS.2012.71
Filename
6449570
Link To Document