Peter Brusilovsky
Rosta Farzan
Jae-wook Ahn
ABSTRACT
This paper explores two ways to help students locate most relevant resources in educational digital libraries. One method gives a more comprehensive access to educational resources, through multiple pathways of information access, including browsing and information visualization. The second method is to access personalized information through social navigation support. This paper presents the details of the Knowledge Sea II system for comprehensive personalized access to educational resources and also presents the results of a classroom study. The study delivered a convincing argument for the importance of providing multiple information presentations modes, showing that only about 10% of all resource accesses were made through the traditional search interface. We have also collected some solid evidence in favor of the social navigation support.
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Index Terms
- Comprehensive personalized information access in an educational digital library
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Reviews
Claudiu Popescu
Improving access to resources in digital libraries is the topic examined in this research paper. Four methods of information access are examined: ad-hoc retrieval, where a ranked list of items is returned; filtered information, based on a user's profile; hypertext browsing; and information visualization of data, which helps the user refine the search. Another technique is called social navigation, which follows the path of other people with the same interest. The authors combine all of the above methods, in a system called "Knowledge Sea." Knowledge Sea is used at the university level for teaching programming languages. The paper discusses the functionality of this platform, especially its contribution to social navigation. Using screen images, the steps taken by a student to perform a search are described. The last half of the paper discusses an evaluation of the system, and presents the results of the authors' research. Numerous statistics are used to offer a comparison of access methods. Social navigation is evaluated through questionnaire answers and log analysis. The paper has 17 references. This paper discusses an important subject: improving information retrieval. The authors present valuable research as a step toward creating better products. The paper will be useful for designers of information retrieval systems. Online Computing Reviews Service
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