DocumentCode
3656346
Title
Modelling Learner´s Personality Profile through Analysis of Annotation Digital Traces in Learning Environment
Author
Nizar Omheni;Anis Kalboussi;Omar Mazhoud;Ahmed Hadjkacem
Author_Institution
Higher Inst. of Comput. &
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
66
Lastpage
67
Abstract
The researchers in education are interested to observing and modelling the learner, and adapting their learning experience accordingly. When learners read and interact actively with their reading materials, they do unselfconscious activities like annotation practices which can be key feature to their personalities. Annotation practices require the reader to be active with the document, to think critically and to make specific annotations in the margins of the text. In this paper we propose modeling learner´s personality by referring to their annotations. The experiments show the significant role of annotation activity to reflect certain learner´ personality traits.
Keywords
"Feature extraction","Psychology","Computational modeling","Writing","Adaptation models","Analytical models","Standards"
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
Type
conf
DOI
10.1109/ICALT.2015.76
Filename
7265264
Link To Document