We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

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

Shi, Lei and Cristea, A. I. and Awan, M. S. K. (Malik Shahzad K.) and Hendrix, Maurice and Stewart, Craig (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). , pp. 1-10.


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

Item Type:Book chapter
Keywords:Adaptive hypermedia, implicit user modeling, learning behavior pattern, educational data mining, data, e-learning, games
Full text:(AM) Accepted Manuscript
Download PDF
Publisher Web site:
Date accepted:03 May 2013
Date deposited:31 July 2018
Date of first online publication:30 May 2013
Date first made open access:No date available

Save or Share this output

Look up in GoogleScholar