DocumentCode
2714885
Title
Meta-knowledge acquisition strategies in asynchronous learning frameworks
Author
Garner, Brian J.
Author_Institution
Dept. of Comput. & Math., Deakin Univ., Geelong, Vic., Australia
fYear
2000
fDate
2000
Firstpage
247
Lastpage
248
Abstract
The prospect of customised learning “shells”, tailored dynamically to the requirements of individual students, has stimulated contemporary research into knowledge mediation, and the associated meta-knowledge acquisition strategies, of actual learning contexts within asynchronous learning frameworks. Recent elaboration (McKay and Garner, 1999) of the complexities of visual learning, through the study of cognitive skill performance in both text and graphics environments, demonstrated an interactive effect between cognitive style and instructional format. The inclusion of multiple instruction paradigms in any computerised learning/course authoring process, however, inevitably requires the dynamic evaluation of task knowledge-level requirements to respond to individual cognitive styles and to deduce the student´s knowledge acquisition requirements. Meta-knowledge acquisition strategies are thus essential to provide the mechanisms for dynamic knowledge analysis and for knowledge-mediated instruction processes
Keywords
human factors; intelligent tutoring systems; knowledge acquisition; user interfaces; asynchronous learning frameworks; cognitive style; computerised course authoring; customised learning shells; human computer interaction; instructional format; intelligent tutoring systems; knowledge mediation; knowledge-mediated instruction; meta-knowledge acquisition; student requirements; visual learning; Computer aided instruction; Computer graphics; Control systems; Expert systems; Feedback; Intelligent systems; Knowledge acquisition; Management training; Mathematics; Mediation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2000. IWALT 2000. Proceedings. International Workshop on
Conference_Location
Palmerston North
Print_ISBN
0-7695-0653-4
Type
conf
DOI
10.1109/IWALT.2000.890622
Filename
890622
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