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 |
Full Text |
|
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 |
|