2020
Authors
Cardoso, P; Morgado, L; Coelho, A;
Publication
ERCIM NEWS
Abstract
The great ambition of using games as the cornerstone of education is hindered by its associated teaching workload. The BEACONING project developed a framework based on an authoring tool for gamified lesson paths, which has been rolled-out in large scale across Europe. It includes stages for planning game-based educational activities, plus their deployment, monitoring, and assessment.
2017
Authors
Beck, D; Allison, C; Morgado, L; Pirker, J; Khosmood, F; Richter, J; Gütl, C;
Publication
iLRN
Abstract
2018
Authors
Beck, D; Allison, C; Morgado, L; Pirker, J; Ríos, AP; Ogle, JT; Richter, J; Gütl, C;
Publication
iLRN
Abstract
2019
Authors
Beck, D; Ríos, AP; Ogle, JT; Economou, D; Mentzelopoulos, M; Morgado, L; Eckhardt, C; Pirker, J; Hristov, RK; Richter, J; Gütl, C; Gardner, M;
Publication
iLRN
Abstract
2016
Authors
Allison, C; Morgado, L; Pirker, J; Beck, D; Richter, J; Gütl, C;
Publication
iLRN
Abstract
2017
Authors
Silva, G; Morgado, L; Cruz, A;
Publication
Immersive Learning Research Network - Third International Conference, iLRN 2017, Coimbra, Portugal, June 26-29, 2017, Proceedings
Abstract
Virtual worlds are widely regarded as a successful approach for professional team training, due to promoting collaboration through user avatars.
Current theoretical models of Computer-Supported Cooperative Work (CSCW) do not account for the specificity of virtual worlds’ affordances for collaboration, particularly regarding non-verbal communication affordances, which led Cruz et al. to propose in iLRN in 2015 a specific protocol to collect data to support the
empirical-grounded refinement of the theoretical treatment of virtual worlds in CSCW. Here, we present the results of applying this protocol to a case study in the training of aircraft maintenance practices. A training simulator platform was built with the Open Simulator platform for this purpose. Through activity observation, collected data provided a set of chains of evidence as proof elements, increasing the amount of empirical data available for future theory development.
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