David Buzatto
Junia Coutinho Anacleto
Ana Luiza Dias
ABSTRACT
This paper presents some proposals to formalize the creation of Learning Objects (LO) that define rules concerned to the content organization and/or the set of metadata used to describe and to document the LOs. This paper presents Cognitor (COGNItive strategies-based EdiTOR), a common-sense aided framework for a certain Pattern Language that aims to help educators create and contextualize e-Learning content as hyper documents, considering cognitive, pedagogical and cultural issues, packaging the LOs according to SCORM (Sharable Content Object Reference Model) standard, the most known and probably most used standard for LO creation. The LOs created by Cognitor are intended to be easy to share and reuse, mainly because Cognitor helps editors fill out the LO metadata using concepts that are culturally contextualized on the main target learner's culture through suggestions coming from a common sense knowledge base that are used to support filling in specific metadata fields.
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Digital Library
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Index Terms
- Providing culturally contextualized metadata to promote sharing and reuse of learning objects
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Reviews
Symeon D. Retalis
Buzatto, Anacleto, and Dias present Cognitor, a cognitive strategies-based editor. Cognitor is an e-learning course-content authoring tool that produces sharable content object reference model (SCORM)-based packages for learning object (LO) metadata. As the authors explain, "Cognitor helps editors fill out the LO metadata using ... suggestions coming from a common sense knowledge base"; the fact that it provides an LO editor is innovative. A significant number of values for the LO metadata elements have to be specified, and the editor is often asked to fill in these values in a set of form-based windows. As the paper proposes, semi-automating this process can lead to less expensive, quicker LO development. In a corresponding paper, Brooks, Cooke, and Vassileva outline their initial research on acquiring, describing, and using LO metadata [1]. The main weakness of the paper is Section 5.4 on systematic evaluation; although three users validated Cognitor's metadata editor, Buzatto, Anacleto, and Dias neither provide profiles of the users nor go into specific details of the experiment. In conclusion, this is an interesting and easy-to-read paper that contains valuable ideas on how to facilitate the task of filling in forms about the metadata of SCORM LOs. Online Computing Reviews Service
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