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


Baalsrud Hauge, Jannicke Madeleine , Stanescu, Ioana A. , Arnab, S. , Ger, Pablo Moreno , Lim, Theodore , Serrano-Laguna, Angel , Lameras, P. , Hendrix, Maurice , Kiili, Kristian , Ninaus, Manuel , de Freitas, Sara , Mazzetti, Alessandro , Dahlbom, Anders and Degano, Cristiano (2015) Learning Analytics Architecture to Scaffold Learning Experience through Technology-based Method. International Journal of Serious Games, volume 2 (1): 29-44


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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.



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Item TypeArticle
TitleLearning Analytics Architecture to Scaffold Learning Experience through Technology-based Method
AuthorsBaalsrud Hauge, Jannicke Madeleine
Stanescu, Ioana A.
Arnab, S. (profile-link for ) http://orcid.org/0000-0002-4939-7382
Ger, Pablo Moreno
Lim, Theodore
Serrano-Laguna, Angel
Lameras, P. (profile-link for )
Hendrix, Maurice
Kiili, Kristian
Ninaus, Manuel
de Freitas, Sara
Mazzetti, Alessandro
Dahlbom, Anders
Degano, Cristiano
Uncontrolled KeywordsSerious games;learning analytics; game mechanics; scaffolded learning
Departments Engineering and Computing/SGI - Serious Games Institute
University
Identifiers
DOI10.17083/ijsg.v2i1.38
Publisher statementThis paper is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License http://creativecommons.org/licenses/by-nc-nd/4.0/ .
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Deposited on 24-Feb-2015 in Research - Coventry.
Last modified on 19-Sep-2016

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