TY - JOUR
T1 - A Rough Set Based Approach to Find Learners' Key Personality Attributes in an E-Learning Environment
AU - Qinghua Zheng, Qinghua
AU - wu, Xiyuan
AU - li, Haifei
PY - 2008/10
Y1 - 2008/10
N2 - One of the challenges in personalized e-learning research is how to find the unique learning strategies according to a learner's personality characteristic. A learner's personality characteristic may have many attributes, and all of them may not have equal values. Correlation analysis, regression analysis, discriminator function, and educational psychology have been used to find solutions, but these methods have their shortcomings. This article proposes an improved approach based on rough set theory to find the key personality attributes and evaluates the importance of these attributes. The approach has been successfully used in the actual e-learning environment for a major research university in China.
AB - One of the challenges in personalized e-learning research is how to find the unique learning strategies according to a learner's personality characteristic. A learner's personality characteristic may have many attributes, and all of them may not have equal values. Correlation analysis, regression analysis, discriminator function, and educational psychology have been used to find solutions, but these methods have their shortcomings. This article proposes an improved approach based on rough set theory to find the key personality attributes and evaluates the importance of these attributes. The approach has been successfully used in the actual e-learning environment for a major research university in China.
KW - dimension reduction
KW - learning strategy
KW - personality characteristic
KW - personalized e-learning
KW - rough set
UR - https://www.scopus.com/pages/publications/85001864995
U2 - 10.4018/jwltt.2008100102
DO - 10.4018/jwltt.2008100102
M3 - 文章
AN - SCOPUS:85001864995
SN - 1548-1093
VL - 3
SP - 29
EP - 56
JO - International Journal of Web-Based Learning and Teaching Technologies (IJWLTT)
JF - International Journal of Web-Based Learning and Teaching Technologies (IJWLTT)
IS - 4
ER -