Conlan, O., Wade, V. ‘Evaluation of APeLS - an adaptive eLearning service based on the multi-model, metadata-driven approach, Lecture Notes in Computer Science’ in proceedings of the Third International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2004), Eindhoven, The Netherlands, August 2004, edited by De Bra, P., Nejdl, W. , 3137, (2004), Springer, pp 291 - 295
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, metadata-driven approach for producing
rich adaptive eLearning solutions that remain content and domain independent.
Through this independence, the eLearning services developed can utilize
many pedagogical approaches and a variety of models to produce a wide
range of highly flexible solutions. This paper identifies benefits to learners
brought through adopting the multi-model approach gathered over four years of
student evaluation. It briefly describes the evaluation of the Adaptive Personalized
eLearning Service (APeLS), a personalized eLearning service based on a
generic adaptive engine.
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