Age Stereotypes for Personalised Adult Learning on the Use of Computers PROCEEDINGS
Maria Virvou, Katerina Kabassi, Department of Informatics, University of Piraeus, Greece
EdMedia: World Conference on Educational Media and Technology, in Lugano, Switzerland ISBN 978-1-880094-53-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
In this paper we describe an intelligent learning environment that is targeted to users of varying ages ranging from typical school ages to adult professional ages. The learning environment is called PEMALE and aims at helping users to learn how to use an e-mailing system. In order to make decisions about what the students should learn, PEMALE uses a Multi-Criteria Decision Making theory that is combined with a double-stereotype user model. More specifically, the system makes use of a double-stereotype system, where stereotypes are used for giving information about the weight of importance of each criterion for a user belonging to a certain age group depending on the level of his/her expertise. In this way, the information that is related to the users' age plays an important role in the adaptivity of the tutoring.
Virvou, M. & Kabassi, K. (2004). Age Stereotypes for Personalised Adult Learning on the Use of Computers. In L. Cantoni & C. McLoughlin (Eds.), Proceedings of ED-MEDIA 2004--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1683-1688). Lugano, Switzerland: Association for the Advancement of Computing in Education (AACE).
© 2004 AACE