2 research outputs found
E-learning with docugames: AE2 Commander
Mark Brogan and Martin Masek teach and research in the School of Computer and Security Science at Edith Cowan University. Dr Brogan teaches and researches enterprise information management and digital recordkeeping. With Associate Professor Karen Murcia, Dr Masek coordinates research activity in ECU\u27s Research Centre for Transformational Games. 1 This paper describes outcomes from user acceptance testing of AE2 Commander 2 - a docugame released as alpha software in April 2011 by ECU\u27s Research Centre for Transformational Games. Docugames form a genre of serious games that employ digitised copy of historical sources as part of the game narrative. The design and development of AE2 Commander began in 2009, when the authors received an Ian MacLean Award 3 from the National Archives of Australia (NAA) to build an authentic role-play game based on the exploits of the World War I Australian submarine AE2. The design brief required the designers to develop a strategy for incorporating digitised copy of archival records held by the NAA and to measure the e-learning and engagement outcomes that were achieved with the docugame format. In an earlier Archives and Manuscripts article, the authors introduced the methods and technologies of computer game design and development used to produce AE2 Commander. 4 This paper reviews the learning outcomes that have been achieved with the game and the player reaction to the inclusion of authentic digital recreations of historical source records. The topic is significant within the context of e-learning, but also more generally, as many cultural heritage institutions seek new ways of engaging audiences through the leveraging of serious games
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MASELTOV Deliverable D7.1.1: Incidental Learning Framework
This is the first steps towards creating an ‘Incidental learning framework’, and it is a work in progress.
It is intended that the Incidental learning framework will facilitate the creation of technology rich learning opportunities for immigrants within cities. The framework will be a descriptive mechanism that permits analysis, a generative tool to support software system design, and it will facilitate the communication of learning design ideas both visually and textually. The framework focuses on incidental learning i.e. learning that is spontaneous and unplanned, in the knowledge domains of interest to the MASELTOV project including health care, culture, and language and information access. However, it provides links and triggers to structured and reflective learning to back up and deepen learning that happens incidentally.
This document describes the initial version of the Incidental Learning Framework, presents a few examples of its use, and describes some conclusions and recommendations for work towards the next version of the framework including
• Using the framework to develop it,
• Extending the literature review,
• Gathering evidence about immigrants day-to-day lives,
• Running design workshop(s) using the framework