Towards understanding learning behavior patterns in social adaptive personalized e-learning systems

Shi, Lei; Cristea, A.I.; Awan, M.S.K.; Stewart, Craig; Hendrix, Maurice

Towards understanding learning behavior patterns in social adaptive personalized e-learning systems

Shi, Lei; Cristea, A.I.; Awan, M.S.K.; Stewart, Craig; Hendrix, Maurice

Authors

Lei Shi

Professor Alexandra Cristea alexandra.i.cristea@durham.ac.uk
Professor

M.S.K. Awan

Craig Stewart

Maurice Hendrix

Abstract

Implicit user modeling has always long since played an important role in supporting personalized web-based e-learning environments and is increasingly important in other learning environments such as serious games. Its main concern is to unobtrusively and ubiquitously learn from a learner’s previous experiences and characteristics, in order to adapt the services to their personal needs. An empirical investigation for understanding learning behavior patterns forms the basis for establishing stronger implicit user modeling mechanisms and this study aims to get a better insight into types of learning behavior. The proposed usage of data mining and visualization elicited some interesting learning behavior patterns. We analyzed these from two perspectives: action frequency and action sequences, based on an expert-designed classification of behavior patterns that helped rank the various action categories according to significance from a user’s perspective. The initial results of the study are promising and suggest possible directions for further improving implicit user modeling

Citation

Shi, L., Cristea, A., Awan, M., Stewart, C., & Hendrix, M. (2013). Towards understanding learning behavior patterns in social adaptive personalized e-learning systems. In Hyperconnected World: Anything, Anywhere, Anytime; Proceedings of the 19th Americas Conference on Information Systems (AMCIS 2013) (1-10)

Conference Name	19th Americas Conference on Information Systems
Conference Location	Chicago
Acceptance Date	May 3, 2013
Online Publication Date	May 30, 2013
Publication Date	May 30, 2013
Deposit Date	Jul 11, 2018
Publicly Available Date	Jul 31, 2018
Publisher	Association for Information Systems
Volume	5
Pages	1-10
Book Title	Hyperconnected World: Anything, Anywhere, Anytime; Proceedings of the 19th Americas Conference on Information Systems (AMCIS 2013).
Keywords	Adaptive hypermedia, implicit user modeling, learning behavior pattern, educational data mining, data, e-learning, games
Publisher URL	http://aisel.aisnet.org/amcis2013/ISEducation/RoundTablePresentations/6/
Related Public URLs	http://wrap.warwick.ac.uk/54709/