The RAGE Software Asset Model and Metadata Model

Georgiev, A., Grigorov, A., Bontchev, B., Boytchev, P., Stefanov, K., Bahreini, K., Nyamsuren, E., Van der Vegt, W., Westera, W., Prada, R., Hollins, Paul ORCID: 0000-0003-1739-9882 and Moreno, P. (2016) The RAGE Software Asset Model and Metadata Model. In: Marsh, Tim, Ma, Minhua, Oliveira, Manuel Fradinho, Hauge, Jannicke Baalsrud and Gobel, Stefan, (eds.) Serious Games, Proceedings of the Second Joint International Conference, JCSG 2016, Brisbane, QLD, Australia, September 26–27. Lecture Notes in Computer Science (9894). Springer International Publishing, Cham, Switzerland, pp. 191-203.

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Abstract

Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities – from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions – technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.

Item Type: Book Section
Uncontrolled Keywords: serious games, software assets, game assets, asset model, asset metadata, metadata editor, gamification
Divisions: University of Bolton Research Centres > Institute for Educational Cybernetics
Depositing User: Tracey Gill
Date Deposited: 20 Feb 2017 18:22
Last Modified: 08 Mar 2018 09:16
Identification Number: 10.1007/978-3-319-45841-0_18
URI: http://ubir.bolton.ac.uk/id/eprint/1093

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