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Journal Issue
Volume 9 Issue 1, ECEL 2010 special issue / Apr 2011  pp1‑114

Editor: Carlos Vaz de Carvalho

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An Automated Individual Feedback and Marking System: An Empirical Study  pp1‑14

Trevor Barker

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Semi‑Automatic Grading of Students’ Answers Written in Free Text  pp15‑22

Nuno Escudeiro, Paula Escudeiro, Augusto Cruz

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Enhanced Approach of Automatic Creation of Test Items to foster Modern Learning Setting  pp23‑38

Christian Gutl, Klaus Lankmayr, Joachim Weinhofer, Margit Hofler

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Methodology for Evaluating Quality and Reusability of Learning Objects  pp39‑51

Eugenijus Kurilovas, Virginija Bireniene, Silvija Serikoviene

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Fluidity in the Networked Society ‑ Self‑initiated learning as a Digital Literacy Competence  pp52‑62

Karin Tweddell Levinsen

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Discovering Student Web Usage Profiles Using Markov Chains  pp63‑74

Alice Marques, Orlando Belo

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Abstract

Nowadays, Web based platforms are quite common in any university, supporting a very diversified set of applications and services. Ranging from personal management to student evaluation processes, Web based platforms are doing a great job providing a very flexible way of working, promote student enrolment, and making access to academic information simple and in an universal way. Students can do their regular tasks anywhere, anytime. Sooner or latter, it was expected that organizations, and universities in particular, begin to think and act towards better educational platforms, more user‑friendly and effective, where students find easily what they search about a specific topic or subject. Profiling is one of the several techniques that we can use to discover what students use to do, by establishing their user navigation patterns on Web based platforms, and knowing better how they explore and search the sites’ pages that they visit. With these profiles Web based platforms administrators can personalize sites according with the preferences and behaviour of the students, promoting easy navigation functionalities and better abilities to response to their needs. In this article we will present the application of Markov chains in the establishment of such profiles for a target eLearning oriented Web site, presenting the system we implemented and its functionalities to do that, as well describing the entire process of discovering student profiles on an eLearning Web based platform. 

 

Keywords: web based elearning platforms, web usage profiling, Clickstream analysis, Markov chains, Navigation paths analysis

 

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Assessing Student Transitions in an Online Learning Environment  pp75‑86

Minoru Nakayama, Hiroh Yamamoto

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Science, Sport and Technology ‑ a Contribution to Educational Challenges  pp87‑97

Kelly O’Hara, Paula Reis, Dulce Esteves, Rui Brás, Luísa Branco

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From Soap Opera to Research Methods Teaching: Developing an Interactive Website/DVD to Teach Research in Health and Social Care  pp98‑104

Abigail Sabey, Sue Horrocks

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A Different Vision in eLearning: Metaphors  pp105‑114

Nazime Tuncay, Ioana Andreea Stanescu, Mustafa Tuncay

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