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Learning Content and Software Evaluation and Personalisation Problems
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Kurilovas, Eugenijus; Serikoviene, Silvija – Informatics in Education, 2010
The paper aims to analyse several scientific approaches how to evaluate, implement or choose learning content and software suitable for personalised users/learners needs. Learning objects metadata customisation method as well as the Method of multiple criteria evaluation and optimisation of learning software represented by the experts' additive…
Descriptors: Computer Software, Course Content, Evaluation Methods, Electronic Learning