Title Personalizuotų mokomųjų scenarijų tinkamumo, priimtinumo ir naudojamumo vertinimas /
Translation of Title Evaluation of suitability, acceptance and use of personalised learning scenarios.
Authors Kurilova, Julija ; Kurilov, Jevgenij ; Minkevičius, Saulius
DOI 10.15388/LMR.B.2017.08
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Is Part of Lietuvos matematikos rinkinys. Ser. B.. Vilnius : Matematikos ir informatikos institutas. 2017, T. 58, p. 45-50.. ISSN 0132-2818. eISSN 2335-898X
Keywords [eng] personalised learning scenarios ; evaluation, probabilistic suitability indexes ; acceptance and use ; UTAUT model ; learning components
Abstract [eng] The paper aims to present a methodology (i.e. model and method) to evaluate suitability, acceptance and use of personalised learning scenarios. High-quality learning scenarios should consist of the learning components (i.e. learning objects, learning activities, and learning environment) optimised to particular students according to their personal needs, e.g. learning styles. In the paper, optimised learning scenarios mean learning scenarios composed of the components having the highest probabilistic suitability indexes to particular students according to Felder–Silverman learning styles model. Personalised learning scenarios evaluation methodology presented in the paper is based on (1) probabilistic suitability indexes to identify learning components suitability to particular students needs according to their learning styles, and (2) Educational Technology Acceptance & Satisfaction Model (ETAS-M) based on well-known Unified Theory on Acceptance and Use of Technology (UTAUT) model.
Published Vilnius : Matematikos ir informatikos institutas
Type Journal article
Language Lithuanian
Publication date 2017
CC license CC license description