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Journal of Computers in Education

Erschienen in:

30.08.2018

Adaptive game-based learning in multi-agent educational settings

verfasst von: Dorothea Tsatsou, Nicholas Vretos, Petros Daras

Erschienen in: Journal of Computers in Education | Ausgabe 2/2019

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Abstract

The traditional educational paradigm has been nowadays transformed to tech-aided personalised learning, tailored to individual learning styles and needs, applicable in any environment. Such an educational framework should provide capabilities for adaptive, affective and interactive learning, taking advantage of technological means to recognize the learners’ performance, behaviour and progress over the learning process. A novel methodology is proposed to model an educational framework able to represent and optimally foster these needs, along with a methodology for non-linearly adapting networked learning objectives. In addition, the framework is supported with an ontology that enables personalised and contextualised decision-making over learning activities on autonomous devices, enabling their dynamic modularisation during the learning process.

Vorheriger Artikel Research trends and applications of technology-supported peer assessment: a review of selected journal publications from 2007 to 2016

Nächster Artikel Selection of E-learning websites using a novel Proximity Indexed Value (PIV) MCDM method

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Titel: Adaptive game-based learning in multi-agent educational settings
verfasst von: Dorothea Tsatsou
Nicholas Vretos
Petros Daras
Publikationsdatum: 30.08.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Computers in Education / Ausgabe 2/2019
Print ISSN: 2197-9987
Elektronische ISSN: 2197-9995
DOI: https://doi.org/10.1007/s40692-018-0118-9

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