Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form
D-Scholarship @ Pitt Banner and Links to Homepage

Using numeric optimization to refine semantic user model integration of educational systems

Yudelson, M and Brusilovsky, P and Mitrovic, A and Mathews, M (2010) Using numeric optimization to refine semantic user model integration of educational systems. In: UNSPECIFIED.

[img] PDF
Submitted Version
Restricted to University of Pittsburgh users only
Available under License : See the attached license file.
Download (82kB) | Request a Copy
[img] Plain Text (licence)
Available under License : See the attached license file.
Download (1kB)

Abstract

Nowadays, it is a common practice to use several educational systems in one domain. In this situation, each of the systems should be able to provide the best user modeling based on the integrated data about the user. However, differences in domain conceptualization complicate the ability of the systems to understand each other's user models and necessitate the use of labor intensive and time consuming alignment procedures that require involvement of knowledge engineers. While the latter are best at detecting associative links between the user model items, they fail to reliably identify the strengths of these associations. In this paper, we are proposing a method to improve the user model mapping by using a numerical optimization procedure. Our results show that numerical weight optimization helped to decrease the amount of manual work and improved the target model accuracy.

Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Yudelson, M
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Mitrovic, A
Mathews, M
Date: 1 December 2010
Date Type: Publication
Journal or Publication Title: Educational Data Mining 2010 - 3rd International Conference on Educational Data Mining
Page Range: 221 - 230
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9780615375298
Related URLs:
Date Deposited: 06 Jul 2011 15:03
Last Modified: 04 Feb 2019 15:58
URI: http://d-scholarship.pitt.edu/id/eprint/5958

Metrics

Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item