An Integrated Approach for Automatic Aggregation of Learning Knowledge Objects
Amal Zouaq, University of Montreal, Canada ; Roger Nkambou, University of Quebec at Montreal, Canada ; Claude Frasson, University of Montreal, Canada
IJELLO Volume 3, Number 1, ISSN 1552-2237 Publisher: Informing Science Institute
This paper presents the Knowledge Puzzle, an ontology-based platform designed to facilitate domain knowledge acquisition from textual documents for knowledge-based systems. First, the Knowledge Puzzle Platform performs an automatic generation of a domain ontology from documents’ content through natural language processing and machine learning technologies. Second, it employs a new content model, the Knowledge Puzzle Content Model, which aims to model learning material from annotated content. Annotations are performed semi-automatically based on IBM’s Unstructured Information Management Architecture and are stored in an Organizational memory (OM) as knowledge fragments. The organizational memory is used as a knowledge base for a training environment (an Intelligent Tutoring System or an e-Learning environment). The main objective of these annotations is to enable the automatic aggregation of Learning Knowledge Objects (LKOs) guided by instructional strategies, which are provided through SWRL rules. Finally, a methodology is proposed to generate SCORM-compliant learning objects from these LKOs.
Zouaq, A., Nkambou, R. & Frasson, C. (2007). An Integrated Approach for Automatic Aggregation of Learning Knowledge Objects. Interdisciplinary Journal of E-Learning and Learning Objects, 3(1), 135-162. Informing Science Institute.
ReferencesView References & Citations Map
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.Suggest Corrections to References
Cited ByView References & Citations Map
Adaptation criteria for the personalised delivery of learning materials: A multi-stage empirical investigation
Stefan Thalmann, University of Innsbruck School of Management Information Systems
Australasian Journal of Educational Technology Vol. 30, No. 1 (Apr 03, 2014)
Shouhong Wang, University of Massachusetts Dartmouth, United States
Interdisciplinary Journal of E-Learning and Learning Objects Vol. 5, No. 1 (Jan 01, 2009) pp. 419–433
Yevgen Biletskiy, Michael Wojcenovic & Hamidreza Baghi, University of New Brunswick, Canada
Interdisciplinary Journal of E-Learning and Learning Objects Vol. 5, No. 1 (Jan 01, 2009) pp. 169–180
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact firstname.lastname@example.org.