Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Towards understanding learning behavior patterns in social adaptive personalized e-learning systems

Tools
- Tools
+ Tools

Shi, Lei, Cristea, Alexandra I., Awan, M. S. K. (Malik Shahzad K.), Hendrix, Maurice and Stewart, Craig (2013) Towards understanding learning behavior patterns in social adaptive personalized e-learning systems. In: 19th Americas Conference on Information Systems, Chicago, Illinois, USA, 15-17 Aug 2013. Published in: Proceedings of the 19th Americas Conference on Information Systems (AMCIS 2013) ISBN 9780615559070.

[img]
Preview
PDF
WRAP_0582421-cs-090316-sl-amcis2013.pdf - Accepted Version - Requires a PDF viewer.

Download (828Kb) | Preview
Official URL: http://aisel.aisnet.org/amcis2013/ISEducation/Roun...

Request Changes to record.

Abstract

Implicit user modeling has always long since played an important role in supporting personalized web-based e-learning environments and is increasingly important in other learning environments such as serious games. Its main concern is to unobtrusively and ubiquitously learn from a learner’s previous experiences and characteristics, in order to adapt the services to their personal needs. An empirical investigation for understanding learning behavior patterns forms the basis for establishing stronger implicit user modeling mechanisms and this study aims to get a better insight into types of learning behavior. The proposed usage of data mining and visualization elicited some interesting learning behavior patterns. We analyzed these from two perspectives: action frequency and action sequences, based on an expert-designed classification of behavior patterns that helped rank the various action categories according to significance from a user’s perspective. The initial results of the study are promising and suggest possible directions for further improving implicit user modeling.

Item Type: Conference Item (Paper)
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Interactive multimedia, World Wide Web, Web-based instruction -- Design, Education -- Computer network resources, Educational technology
Journal or Publication Title: Proceedings of the 19th Americas Conference on Information Systems (AMCIS 2013)
Publisher: AMCIS
ISBN: 9780615559070
Official Date: May 2013
Dates:
DateEvent
May 2013Available
3 May 2013Accepted
Status: Peer Reviewed
Publication Status: Published
Funder: Seventh Framework Programme (European Commission) (FP7), European Union. Lifelong Learning Programme
Grant number: 269963, 288587 (FP7) ; 511640 (EULLP)
Conference Paper Type: Paper
Title of Event: 19th Americas Conference on Information Systems
Type of Event: Conference
Location of Event: Chicago, Illinois, USA
Date(s) of Event: 15-17 Aug 2013
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us