Performance evaluation of adaptive content selection in AEHS
Adaptive content selection is recognized as a challenging research issue in adaptive educational hypermedia systems (AEHS). Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design by providing AEHS designers with either guidance for the direct definition o...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/12944 |
| _version_ | 1848748216732876800 |
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| author | Karampiperis, P. Sampson, Demetrios |
| author_facet | Karampiperis, P. Sampson, Demetrios |
| author_sort | Karampiperis, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Adaptive content selection is recognized as a challenging research issue in adaptive educational hypermedia systems (AEHS). Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design by providing AEHS designers with either guidance for the direct definition of adaptation rules, or semi-automated mechanisms which generate the AM via the implicit definition of such rules. The goal of the semi-automated, decision-based approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the insufficiency and/or inconsistency problems of the defined adaptation rule sets. Although such approaches bare the potential to provide efficient AMs, they still miss a commonly accepted framework for evaluating their performance. In this paper, we propose an evaluation framework suitable for validating the performance decision-based approaches in adaptive learning objects selection in AEHS and demonstrate the use of this framework in the case of our proposed decision-based approach for estimating the desired AEHS response. © Springer-Verlag Berlin Heidelberg 2011. |
| first_indexed | 2025-11-14T07:01:31Z |
| format | Conference Paper |
| id | curtin-20.500.11937-12944 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:01:31Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-129442017-10-02T02:28:09Z Performance evaluation of adaptive content selection in AEHS Karampiperis, P. Sampson, Demetrios Adaptive content selection is recognized as a challenging research issue in adaptive educational hypermedia systems (AEHS). Several efforts have been reported in literature aiming to support the Adaptation Model (AM) design by providing AEHS designers with either guidance for the direct definition of adaptation rules, or semi-automated mechanisms which generate the AM via the implicit definition of such rules. The goal of the semi-automated, decision-based approaches is to generate a continuous decision function that estimates the desired AEHS response, aiming to overcome the insufficiency and/or inconsistency problems of the defined adaptation rule sets. Although such approaches bare the potential to provide efficient AMs, they still miss a commonly accepted framework for evaluating their performance. In this paper, we propose an evaluation framework suitable for validating the performance decision-based approaches in adaptive learning objects selection in AEHS and demonstrate the use of this framework in the case of our proposed decision-based approach for estimating the desired AEHS response. © Springer-Verlag Berlin Heidelberg 2011. 2011 Conference Paper http://hdl.handle.net/20.500.11937/12944 10.1007/978-3-642-22158-3_19 restricted |
| spellingShingle | Karampiperis, P. Sampson, Demetrios Performance evaluation of adaptive content selection in AEHS |
| title | Performance evaluation of adaptive content selection in AEHS |
| title_full | Performance evaluation of adaptive content selection in AEHS |
| title_fullStr | Performance evaluation of adaptive content selection in AEHS |
| title_full_unstemmed | Performance evaluation of adaptive content selection in AEHS |
| title_short | Performance evaluation of adaptive content selection in AEHS |
| title_sort | performance evaluation of adaptive content selection in aehs |
| url | http://hdl.handle.net/20.500.11937/12944 |