Author:
Lauri Lahti
Affiliation:
Helsinki University of Technology (TKK), Finland
Keyword(s):
Semantic navigation, Intelligent tutoring system, Concept map, Wikipedia, Ranking.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Context Dependent Learning
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Learning/Teaching Methodologies and Assessment
;
Managing Quality in e-Learning
;
Pedagogy Enhancement with e-Learning
;
Social Context and Learning Environments
;
Ubiquitous Learning
;
Web-Based Learning, Wikis and Blogs
Abstract:
We propose a new semi-automated method for generating personalized learning paths from the Wikipedia online encyclopedia by following inter-article hyperlink chains based on various rankings that are retrieved from the statistics of the articles. Alternative perspectives for learning topics are achieved when the next hyperlink to access is selected based on hierarchy of hyperlinks, repetition of hyperlink terms, article size, viewing rate, editing rate, or user-defined weighted mixture of them all. We have implemented the method in a prototype enabling the learner to build independently concept maps following her needs and consideration. A list of related concepts is shown in a desired type of ranking to label new nodes (titles of target articles for current hyperlinks) accompanied with parsed explanation phrases from the sentences surrounding each hyperlink to label directed arcs connecting nodes. In experiments the alternative ranking schemes well supported various learning needs s
uggesting new pedagogical networking practices.
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