Decision models in the design of adaptive educational hypermedia systems

Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design in Adaptive Educational Hypermedia Systems (AEHS) with either guidance for the direct definition of adaptation rules or semi-automated mechanisms that generate the AM through the implicit definition o...

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Main Authors: Sampson, Demetrios, Karampiperis, P.
Format: Book Chapter
Published: IGI Global 2011
Online Access:http://hdl.handle.net/20.500.11937/33500
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author Sampson, Demetrios
Karampiperis, P.
author_facet Sampson, Demetrios
Karampiperis, P.
author_sort Sampson, Demetrios
building Curtin Institutional Repository
collection Online Access
description Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design in Adaptive Educational Hypermedia Systems (AEHS) with either guidance for the direct definition of adaptation rules or semi-automated mechanisms that generate the AM through the implicit definition of such rules. The main drawback of the direct definition of adaptation rules is that there can be cases during the run-time execution of AEHS where no adaptation decision can be made, due to insufficiency and/or inconsistency of the pre-defined adaptation rule sets. The goal of the semi-automated, decisionbased approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the above mentioned problem. However, such approaches still miss a commonly accepted framework for evaluating their performance. In this chapter, we review the design approaches for the definition of the AM in AEHS and discuss a set of performance evaluation metrics proposed by the literature for validating the use of decision-based approaches. © 2012, IGI Global.
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spelling curtin-20.500.11937-335002017-10-02T02:28:10Z Decision models in the design of adaptive educational hypermedia systems Sampson, Demetrios Karampiperis, P. Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design in Adaptive Educational Hypermedia Systems (AEHS) with either guidance for the direct definition of adaptation rules or semi-automated mechanisms that generate the AM through the implicit definition of such rules. The main drawback of the direct definition of adaptation rules is that there can be cases during the run-time execution of AEHS where no adaptation decision can be made, due to insufficiency and/or inconsistency of the pre-defined adaptation rule sets. The goal of the semi-automated, decisionbased approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the above mentioned problem. However, such approaches still miss a commonly accepted framework for evaluating their performance. In this chapter, we review the design approaches for the definition of the AM in AEHS and discuss a set of performance evaluation metrics proposed by the literature for validating the use of decision-based approaches. © 2012, IGI Global. 2011 Book Chapter http://hdl.handle.net/20.500.11937/33500 10.4018/978-1-60960-842-2.ch001 IGI Global restricted
spellingShingle Sampson, Demetrios
Karampiperis, P.
Decision models in the design of adaptive educational hypermedia systems
title Decision models in the design of adaptive educational hypermedia systems
title_full Decision models in the design of adaptive educational hypermedia systems
title_fullStr Decision models in the design of adaptive educational hypermedia systems
title_full_unstemmed Decision models in the design of adaptive educational hypermedia systems
title_short Decision models in the design of adaptive educational hypermedia systems
title_sort decision models in the design of adaptive educational hypermedia systems
url http://hdl.handle.net/20.500.11937/33500