Ontology-driven Incremental Annotation of Educational Content for Instruction Planning

  • Authors:

  • Apple W. P. Fok;Horace H. S. Ip

  • Affiliations:

  • Centre for Innovative Applications of Internet and Multimedia Technologies (AIMtech), Image Computing Group, Department of Computer Science, City University of Hong Kong, applefok@cs.cityu.edu.hk;Centre for Innovative Applications of Internet and Multimedia Technologies (AIMtech), Image Computing Group, Department of Computer Science, City University of Hong Kong, applefok@cs.cityu.edu.hk

  • Venue:
  • Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
  • Year:
  • 2005

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Abstract

Amidst the millions of pages available on the Web, it contains an invaluable educational resources pool for planning episodes of learning approach for instructions and guided learning. The un-structured nature and the lack of suitably annotated materials make retrieving the relevant learning contents that meet different pedagogical needs a difficult and time-consuming task. In this paper, we propose a framework as well as the design of a Personalized Instruction planner (PIP) that searches and annotates potentially useful learning content. Our approach is based on an ontology-driven and incremental approach to the annotation of educational content using the multi-agents infrastructure of a Personalized Education System (PES). The PIP which is a subsystem of the PES is composed of three software agents whose roles is to search, retrieve and classify potentially useful learning objects for personalized education guided by multiple ontologies that taxonomize subject domain, instructional design or pedagogy and content.