DocumentCode
483338
Title
Research on Personalized Sports Teaching Network Resources System
Author
Qi, Luo ; Wang, Bin
Author_Institution
Sch. of Phys. Educ., Central China Normal Univ., Wuhan
fYear
2009
fDate
23-25 Jan. 2009
Firstpage
929
Lastpage
931
Abstract
With the quick development and the combination of modern education technology, multimedia technology and network technology, multimedia network curriculum based on Internet will become the major resource of future education. Network curriculum refers to the content of courses and teaching activities of a certain discipline displayed by the network. It not only helps to enhance students´ initiatives and ability but also facilitates to realize the individualized teaching and learning by laying emphasis on the importance of learner focused method, to combine the classroom teaching with the extracurricular learning though network, curriculum extends classroom teaching and helps to solve the existing problems in current mode of classroom teaching. Basing on it, technologies of personality, data mining and adaptive filtering are applied in the paper, while the model of personalized sports teaching network resources system (PSTNRS) is proposed. The resultmanifests that PSTNRS can support sports teaching better.
Keywords
Internet; adaptive filters; data mining; educational courses; educational technology; multimedia systems; sport; PSTNRS; adaptive filtering; data mining; education technology; extracurricular learning; learner focused method; multimedia network curriculum; multimedia technology; network technology; personalized sports teaching network resources system; Adaptive filters; Data mining; Education; Educational technology; Feedback; IP networks; Information filtering; Information filters; Multimedia systems; Paper technology; Adaptive Filtering; Data mining; Personality; Sports Teaching Network Resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location
Moscow
Print_ISBN
978-0-7695-3543-2
Type
conf
DOI
10.1109/WKDD.2009.237
Filename
4772086
Link To Document