TY - GEN
T1 - Analysis of felder-silverman index of learning styles by a data-driven statistical approach
AU - Viola, Silvia Rita
AU - Graf, Sabine
AU - Kinshuk,
AU - Leo, Tommaso
N1 - Funding Information:
The support of this research by the National Science Foundation (CHE8504737) is gratefully acknowledged. We thank the University of Massachusetts Computing Center for generous allocation of computer time. The authors also express appreciation to Professor John Ragle for many helpful discussions.
PY - 2006
Y1 - 2006
N2 - In this paper a data driven analysis of Felder-Silverman Index of Learning Styles (ILS) is given. Results, obtained by Multiple Correspondence Analysis and cross-validated by correlation analysis, show the consistent dependencies between some styles; some latent dimensions present in data, that are unexpected, are discussed. Results are then compared with the ones given by literature concerning validity and reliability of ILS questionnaire. Both the results and the comparisons show the effectiveness of data driven methods for patterns extraction even when unexpected dependencies are found and the importance of coherence and consistency of mathematical representation of data with respect to the methods selected for an effective, precise and accurate modeling.
AB - In this paper a data driven analysis of Felder-Silverman Index of Learning Styles (ILS) is given. Results, obtained by Multiple Correspondence Analysis and cross-validated by correlation analysis, show the consistent dependencies between some styles; some latent dimensions present in data, that are unexpected, are discussed. Results are then compared with the ones given by literature concerning validity and reliability of ILS questionnaire. Both the results and the comparisons show the effectiveness of data driven methods for patterns extraction even when unexpected dependencies are found and the importance of coherence and consistency of mathematical representation of data with respect to the methods selected for an effective, precise and accurate modeling.
UR - http://www.scopus.com/inward/record.url?scp=46249107412&partnerID=8YFLogxK
U2 - 10.1109/ISM.2006.30
DO - 10.1109/ISM.2006.30
M3 - Published Conference contribution
AN - SCOPUS:46249107412
SN - 0769527469
SN - 9780769527468
T3 - ISM 2006 - 8th IEEE International Symposium on Multimedia
SP - 959
EP - 964
BT - ISM 2006 - 8th IEEE International Symposium on Multimedia
T2 - ISM 2006 - 8th IEEE International Symposium on Multimedia
Y2 - 11 December 2006 through 13 December 2006
ER -