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

Authors :
Jannicke Madeleine Baalsrud Hauge
Ioana A. Stanescu
Sylvester Arnab
Pablo Moreno Ger
Theodore Lim
Angel Serrano-Laguna
Petros Lameras
Maurice Hendrix
Kristian Kiili
Manuel Ninaus
Sara de Freitas
Alessandro Mazzetti
Anders Dahlbom
Cristiana Degano
Source :
International Journal of Serious Games, Vol 2, Iss 1 (2015)
Publication Year :
2015
Publisher :
Serious Games Society, 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.

Details

Language :
English
ISSN :
23848766
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
International Journal of Serious Games
Publication Type :
Academic Journal
Accession number :
edsdoj.8470ee68b2604d6798e9a266d0b97d68
Document Type :
article
Full Text :
https://doi.org/10.17083/ijsg.v2i1.38