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Title:
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A SELF DIAGNOSING AND PRESCRIBING E-LEARNING SYSTEM |
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Author(s):
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Azita Bahrami |
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ISBN:
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978-972-8924-93-5 |
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Editors:
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Pedro Isaías, Bebo White and Miguel Baptista Nunes |
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Year:
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2009 |
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Edition:
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1 |
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Keywords:
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Self-Diagnostic and Prescribing E-Learning System, Self-Prescribing System, and Background Concept Graph. |
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Type:
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Full Paper |
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First Page:
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319 |
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Last Page:
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326 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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An e-lesson, related modules, can be represented by a directed acyclic concept graph. An e-lesson may be
designed by Q designers for different learners, which may be represented by Q graphs, G1 . . . Gq. When Q
grows to the limit, the graphs become a collection of all possible modules for many students with varying
knowledge levels. The goal of this paper was to establish graphs as a foundation for building a self diagnosing
and prescribing e-learning system. Two methodologies were devised to respectively establish confidence for
each graph and generate a background graph for every unique module in G1 . . . Gq and to prescribe remedies for
learners failing a module. The remedies were divided into a set of prescriptions based on their levels and
confidences. The foundation is a precursor to a system capable of making ordered prescriptions that minimizes
learners need to learn remedial modules. |
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