Authors:
Fabio Gasparetti
;
Carla Limongelli
;
Alessandra Milita
;
Filippo Sciarrone
and
Andrea Tarantini
Affiliation:
Roma Tre University, Italy
Keyword(s):
E-learning, Sequencing, Wikipedia.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Educating the Educators
;
e-Learning
;
e-Learning Platforms
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Instructional Design
;
Intelligent Tutoring Systems
;
Learning/Teaching Methodologies and Assessment
;
Simulation and Modeling
;
Simulation Tools and Platforms
Abstract:
With its 5,006,202 articles, 49 millions of registered people and on average 800 new articles per day,
Wikipedia provides a knowledge base for teachers and instructional designers to build didactic materials.
As a matter of fact, teachers often consult this encyclopaedia to arrange, integrate or enrich their courses.
Moreover, with the exponential growth of the Internet, didactic materials are freely available and usable by
teachers, instructional designers and students from Learning Objects Repositories such as Mertlot or Ariadne
and others. On the other hand, designing and delivering a new course is a crucial task for teachers, who have
to face two main problems: building or retrieving and sequencing learning materials. Retrieving or building
learning materials requires a great effort and is time-consuming, while sequencing requires an accurate didactic
project. In this paper we present a sequencing engine of learning materials, embedded in the Wiki Course
Builder system, a system
capable of retrieving and sequencing Wikipedia web pages, taking into account both
the teacher model based on the Grasha teaching styles and on a social didactic approach. The main goal is
to support teachers building on-the-fly courses, i.e., building courses quickly, with a few clicks of the mouse.
An important feature of the system is represented by its ability to allow teachers to interact with the recommended
learning path through a graph-based interface where they can directly modify the proposed learning
path, adding or deleting Wikipedia pages. A first questionnaire has been submitted to a sample of teachers
with encouraging results.
(More)