User Navigational Behavior in e-Learning Virtual Environments

In this paper we describe the navigational behavior of the students of a e-learning virtual environment, in order to determine whether such navigational patterns are related to the academic performance achieved by the students or not, and which behaviors can be identified as more successful. As an e...

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Vydané v:IEEE/WIC/ACM International Conference on web intelligence s. 243 - 249
Hlavní autori: Carbo, Joan Marc, Mor, Enric, Minguillon, Julia
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Washington, DC, USA IEEE Computer Society 19.09.2005
IEEE
Edícia:ACM Conferences
Predmet:
Applied computing > Document management and text processing > Document preparation > Multi > mixed media creation
Applied computing > Education
Computer science
Content management
Electronic learning
Environmental management
Human-centered computing > Human computer interaction (HCI)
Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Hypertext > hypermedia
Information systems > Information retrieval > Users and interactive retrieval > Personalization
Information systems > World Wide Web > Web searching and information discovery > Personalization
Internet
Navigation
Pattern analysis
Performance analysis
Virtual environment
Web mining
ISBN:076952415X, 9780769524153
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Popis
Shrnutí:In this paper we describe the navigational behavior of the students of a e-learning virtual environment, in order to determine whether such navigational patterns are related to the academic performance achieved by the students or not, and which behaviors can be identified as more successful. As an example, a subset of students taking a degree in Computer Science in a completely virtual online university are selected as the matter of study. Three levels of analysis are described: a session level, where students perform a few actions in a single session logged to the virtual campus; a course level, where all single sessions are joined to form a course navigational pattern; and a life-long learning level, where students enroll in several subjects each academic semester. A simple experiment is outlined for the course level to demonstrate the possibilities of such analysis in a virtual e-learning environment. This experiment shows that the information collected in this level is useful for understanding user behavior and the relationship with his or her academic achievements, and that some intuitive ideas about the relevance of specific user actions or particularities can be also better explained.
Bibliografia:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:076952415X
9780769524153
DOI:10.1109/WI.2005.155