Preparation of Topical Reading Lists from the Link Structure of Wikipedia

Author

Wissner-Gross, Alexander D.

Author_Institution

Dept. of Phys., Harvard Univ., Cambridge, MA

fYear

2006

fDate

5-7 July 2006

Firstpage

825

Lastpage

829

Abstract

Personalized reading preparation poses an important challenge for education and continuing education. Using a PageRank derivative and graph distance ordering, we show that personalized background reading lists can be generated automatically from the link structure of Wikipedia. We examine the operation of our new tool in professional, student, and interdisciplinary researcher learning models. Additionally, we present desktop and mobile interfaces for the generated reading lists

Keywords

Web sites; educational administrative data processing; graph theory; portals; user interfaces; PageRank derivative; Wikipedia link structure; continuing education; desktop reading interface; graph distance ordering; interdisciplinary researcher learning model; mobile reading interface; personalized background reading list; personalized reading preparation; professional learning model; student learning model; topical reading list; Books; Computer industry; Continuing education; Educational institutions; Helicopters; Job shop scheduling; Natural languages; Physics education; Search engines; Wikipedia;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2006. Sixth International Conference on

Conference_Location

Kerkrade

Print_ISBN

0-7695-2632-2

Type

conf

DOI

10.1109/ICALT.2006.1652568

Filename

1652568