Authors:
Carlo De Medio
1
;
Fabio Gasparetti
2
;
Carla Limongelli
2
;
Filippo Sciarrone
2
and
Marco Temperini
1
Affiliations:
1
Sapienza University of Rome, Italy
;
2
Roma Tre University, Italy
Keyword(s):
E-learning, Data Mining, Wikipedia.
Related
Ontology
Subjects/Areas/Topics:
Authoring Tools and Content Development
;
Computer-Supported Education
;
e-Learning
;
Information Technologies Supporting Learning
;
Instructional Design
;
Learning/Teaching Methodologies and Assessment
Abstract:
Selecting and sequencing a set of Learning Objects (LOs) to build a course may turn out to be quite a challenging
task. In this paper we focus on such an aspect, related to the verification and respect of the relationships of
pedagogical dependence existing between two LOs added to a course (meaning that if a given LO has another
one as “pre-requisite”, then any sequencing of the LOs in the course will need to have the latter LO taken by
the learners before of the former). In our approach the sequencing of LOs in the course can still be managed
by the instructor, basing on her/his taste and preferences, yet s/he can also be helped by a set of suggestions,
related to the pre-requisite relationships existing among the LOs selected for the course. Such suggestions
(such relationships, in effect) can be computed automatically and provide the instructor with significant help
and guidance. We show a light-weight formalization of the LO, and how it can be “represented” by a set of
WikiPedia
Pages (“topics”); then we show how such set of topics, together with a set of relevant hypotheses we
previously defined, can help establish the dependence relationship existing between two LOs. In this endeavor
we exploit the classification in categories available for the WikiPedia topics, and obtain interesting results for
our framework, in terms of precision and recall of the dependence relationships.
(More)