2004
DOI: 10.1007/978-3-540-27780-4_35
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Evaluation of APeLS – An Adaptive eLearning Service Based on the Multi-model, Metadata-Driven Approach

Abstract: Abstract. The evaluation of learner and tutor feedback is essential in the production of high quality personalized eLearning services. There are few evaluations available in the Adaptive Hypermedia domain relative to the amount of research interest this domain is attracting. Many of the papers in this domain focus on the technological design of systems without justifying the designs through the lessons learned from evaluations. This paper evaluates the usability and effectiveness of using the multi-model, meta… Show more

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Cited by 51 publications
(42 citation statements)
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“…A drawback of the system is the fact that the particular retrieval strategy is encoded into the system rather than separated from the adaptive engine. In Conlan, et al (2002) and Conlan and Wade (2004), a multi-modal, metadata-driven approach is proposed in order to provide this separation of concerns. Most importantly, the approach introduces an additional model called the narrative model, which encodes a set of generic strategies for presenting concepts.…”
Section: Metadata-based Approachesmentioning
confidence: 99%
See 2 more Smart Citations
“…A drawback of the system is the fact that the particular retrieval strategy is encoded into the system rather than separated from the adaptive engine. In Conlan, et al (2002) and Conlan and Wade (2004), a multi-modal, metadata-driven approach is proposed in order to provide this separation of concerns. Most importantly, the approach introduces an additional model called the narrative model, which encodes a set of generic strategies for presenting concepts.…”
Section: Metadata-based Approachesmentioning
confidence: 99%
“…The implemented APeLS system executes the narrative by consolidating models in an Adaptive Engine (see Figure 5). (Conlan, et al, 2002) and Conlan and Wade (2004) In terms of retrieval adaptation, the narrative contains the rules for which concepts should be selected, how they should be sequenced and which candidate content group should be considered for content retrieval. All adaptation hence occurs on the concept-level, enabling the narrative to be independent from the actual content.…”
Section: Metadata-based Approachesmentioning
confidence: 99%
See 1 more Smart Citation
“…The motivation behind personalising content was the need to provide a learning environment to suit each person's learning capabilities. Adaptive eLearning systems are currently being designed and several existing elearning tools are being incorporated with this feature [4,13,5]. But most of them use predefined or adaptive tests [14] to decide the learning path, making them static adaptation models.…”
Section: Application Of the Proposed Research Workmentioning
confidence: 99%
“…The user-model is used to represent attributes such as Prior Knowledge, User Preferences, Cognitive and Learning Style, Aims and Goals etc. Successful second generation AHS include APeLS [6], KnowledgeTree [7], various prototype systems based on the AHA! architecture and KBS-Hyperbook [8].…”
Section: State Of the Artmentioning
confidence: 99%