Evaluation of quality and personalisation of VR/AR/MR learning systems
ABSTRACT The paper aims to analyse the problem of quality evaluation and personalisation of virtual reality/augmented reality/mixed reality (VR/AR/MR) First of all, systematic review of relevant scientific literature on the research topic was conducted. After that, findings of the systematic review concerning evaluation of quality and personalisation of VR/AR/MR learning environments are presented. The author's VR/AR/MR learning systems/environments quality evaluation and personalisation framework is also presented in the paper. Evaluation of quality of VR/AR/MR platforms/environments should be based on (a) applying both expert centred (top down) and user centred (bottom up) quality evaluation methods and (b) separating 'internal quality' criteria, and 'quality in use' criteria in the set of quality criteria (model) Personalisation of VR/AR/MR platforms/environments should be based on learners' models/profiles using students' learning styles, intelligent technologies, and Semantic Web applications.
Behav. Inf. Technol.