IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Modeling for Learning

Modeling for Learning
View Sample PDF
Author(s): Josianne Basque (LICEF Research Center, Tèle-Universitè, Canada)and Béatrice Pudelko (LICEF Research Center, Tèle-Universitè, Canada)
Copyright: 2010
Pages: 19
Source title: Visual Knowledge Modeling for Semantic Web Technologies: Models and Ontologies
Source Author(s)/Editor(s): Gilbert Paquette (LICEF Research Center, Canada)
DOI: 10.4018/978-1-61520-839-5.ch016

Purchase

View Modeling for Learning on the publisher's website for pricing and purchasing information.

Abstract

Some years ago, we have introduced in the pedagogical scenario of a distance university course a learning activity consisting at having students create their own knowledge models with the knowledge modeling software MOT developed by Paquette (2002). At the same time, was initiated a series of studies1 aiming at evaluating the learning benefits and exploring the meditating effect of the use of this tool in the learning process, both in individual or collaborative conditions, as well as in face-to-face or distance educational settings. In our research, MOT is mainly used as a mean to support students’ text comprehension, but we also proposed this tool to professionals engaged in a vocational university program to help them reflect on how the curriculum knowledge domain is instantiated in their own professional practice. In addition, we provided training sessions to faculties and produced some documentation (available on the web) on the educational uses of knowledge model- ing software in higher education (Pudelko & Basque, 2005).

Related Content

R. Sundar, P. Balaji Srikaanth, Darshana A. Naik, V. P. Murugan, Madhavi Karumudi, Sampath Boopathi. © 2024. 26 pages.
Kamalendu Pal. © 2024. 26 pages.
Hayder Luis Endo Pérez, Amed Abel Leiva Mederos, José Antonio Senso-Ruíz, Ghislain Auguste Atemezing, Daniel Gálvez Lio, Jose Luis Sánchez-Chávez, Alfredo Simón Cueva. © 2024. 13 pages.
Graveth Uzoma Ejekwu, Samson Ajodo, O. Mashood Lawal, Oluwafemi S. Balogun. © 2024. 20 pages.
Marwa Ben Arab, Mouna Rekik, Lotfi Krichen. © 2024. 18 pages.
J. Vimala Devi, Rajesh Vyankatesh Argiddi, P. Renuka, K. Janagi, B. S. Hari, S. Boopathi. © 2024. 24 pages.
Marius Iulian Mihailescu, Stefania Loredana Nita. © 2024. 45 pages.
Body Bottom