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Learning Analytics Architecture to Scaffold Learning Experience through Technology-based Methods.

Authors :
Hauge, Jannicke Baalsrud
Stanescu, Ioana
Arnab, Sylvester
Ger, Pablo Moreno
Lim, Theodore
Serrano-Laguna, Angel
Lameras, Petros
Hendrix, Maurice
Kiili, Kristian
Ninaus, Manuel
de Freitas, Sara
Mazzetti, Alessandro
Dahlbom, Anders
Degano, Cristiana
Source :
International Journal of Serious Games; 2015, Vol. 2 Issue 1, p29-44, 16p
Publication Year :
2015

Abstract

The challenge of delivering personalized learning experiences is often increased by the size of classrooms and online learning communities. Serious Games (SGs) are increasingly recognized for their potential to improve education. However, the issues related to their development and their level of effectiveness can be seriously affected when brought too rapidly into growing online learning communities. Deeper insights into how the students are playing is needed to deliver a comprehensive and intelligent learning framework that facilitates better understanding of learners' knowledge, effective assessment of their progress and continuous evaluation and optimization of the environments in which they learn. This paper discusses current SOTA and aims to explore the potential in the use of games and learning analytics towards scaffolding and supporting teaching and learning experience. The conceptual model (ecosystem and architecture) discussed in this paper aims to highlight the key considerations that may advance the current state of learning analytics, adaptive learning and SGs, by leveraging SGs as an suitable medium for gathering data and performing adaptations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23848766
Volume :
2
Issue :
1
Database :
Complementary Index
Journal :
International Journal of Serious Games
Publication Type :
Academic Journal
Accession number :
100990768
Full Text :
https://doi.org/10.17083/ijsg.v2i1.38