Weighting and Ranking the E-learning Resources

Author

Yen, Neil Y. ; Hou, Franz F. ; Chao, Louis R. ; Shih, Timothy K.

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Taipei, Taiwan

fYear

2009

fDate

15-17 July 2009

Firstpage

701

Lastpage

703

Abstract

The use of learning objects is necessary in distance learning environment. Lots of repositories provide only search service for the users. Users have to sift and collect the learning objects they really need. In previous works, we have constructed the reusability tree based on CORDRA architecture for the repository users. In this paper, we further collect and record the citation numbers of learning objects and then propose a formula to calculate the weight for each learning object. The basic concept is based on the social network of Web 2.0 and takes Google Page Rank mechanism into consideration. After getting weight values, we also integrate the similarity mechanism into our formula and rank these learning objects.

Keywords

Internet; citation analysis; computer aided instruction; distance learning; information filters; search engines; CORDRA architecture; Google Page Rank mechanism; Web 2.0; distance learning environment; e-learning resource ranking; e-learning resource weighting; learning object citation number; recommendation system; reusability tree; Chaos; Computer aided instruction; Computer science; Computer science education; Data mining; Educational technology; Electronic learning; Management information systems; Social network services; User interfaces; learning objects; ranking; reusability tree; web mining; weighting mechanism;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on

Conference_Location

Riga

Print_ISBN

978-0-7695-3711-5

Electronic_ISBN

978-0-7695-3711-5

Type

conf

DOI

10.1109/ICALT.2009.36

Filename

5194342