TY - GEN
T1 - Correlations between students' behaviour in learning management systems and their learning style preferences
AU - Graf, Sabine
AU - Liu, Tzu Chien
AU - Kinshuk,
PY - 2008
Y1 - 2008
N2 - Many researches have been conducted with respect to learning styles in technology enhanced learning, especially in the area of adaptive learning. Most of these researches used assumptions about how students with different learning styles behave in a system based on the respective learning style theory. However, most of these theories are developed for traditional learning rather than online learning. In this study, we investigated the behaviour of students in a learning management system and correlated the students' behaviour with their learning style preferences. The resulting correlations confirm that students with different learning styles behave differently in an online course, which gives another evidence for the potential of adaptive learning based on learning styles. Furthermore, our findings can contribute in the development of adaptive systems, making adaptive features more accurate and automatic student modelling more precise by combining the results of this study with the conclusions from literature.
AB - Many researches have been conducted with respect to learning styles in technology enhanced learning, especially in the area of adaptive learning. Most of these researches used assumptions about how students with different learning styles behave in a system based on the respective learning style theory. However, most of these theories are developed for traditional learning rather than online learning. In this study, we investigated the behaviour of students in a learning management system and correlated the students' behaviour with their learning style preferences. The resulting correlations confirm that students with different learning styles behave differently in an online course, which gives another evidence for the potential of adaptive learning based on learning styles. Furthermore, our findings can contribute in the development of adaptive systems, making adaptive features more accurate and automatic student modelling more precise by combining the results of this study with the conclusions from literature.
KW - Behaviour in Learning Management Systems
KW - Learning Styles
KW - Student Modelling
UR - http://www.scopus.com/inward/record.url?scp=84856951050&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856951050&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84856951050
SN - 9789868473522
T3 - Proceedings - ICCE 2008: 16th International Conference on Computers in Education
SP - 65
EP - 72
BT - Proceedings - ICCE 2008
T2 - 16th International Conference on Computers in Education, ICCE 2008
Y2 - 27 October 2008 through 31 October 2008
ER -