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Breaking the Traditional E-Learning Mould: Support for the Learning Preference Approach.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Jacko, Julie A.
Liu, Fang
Kuljis, Jasna
Lines, Lorna
Source :
Human-Computer Interaction. HCI Applications & Services; 2007, p294-301, 8p
Publication Year :
2007

Abstract

The mismatch between ‘traditional‘ educational model and the e-Learning has drawn the research attention on personalized instruction, one of the growing concerns in HCI. This paper presents a framework that can be used as a basis for the identification of an appropriate type of personalization. Our idea is that users who demonstrate particular learning styles, as identified in Felder-Silverman's learning style theory, require a specific e-learning environment that matches their learning preferences. In particular, the framework is formulated to investigate how the different modalities presenting e-Learning content will influence the students' learning quality and experience. The considered learning styles profile in this paper is typical for a science and technology domain student. Through this framework we expect that learning preferences of a certain type of learners could be better supported and consequently their improved learning performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540731092
Database :
Complementary Index
Journal :
Human-Computer Interaction. HCI Applications & Services
Publication Type :
Book
Accession number :
33192015
Full Text :
https://doi.org/10.1007/978-3-540-73111-5_34