Rage: Realising an Applied Gaming Eco-system

Project Details

Layman's description

RAGE enables deploying new approaches, methods and tools that support social and educational stakeholders at reducing huge EU labour market mismatches, by using Applied Gaming solutions for speeding-up the creation of a modernised skilled workforce. The sustainability of this market innovation is fostered by the transfer of advanced technologies and know-how to accelerate growth of the EU Applied Game studios ecosystem and secure a competitive supply of skills building gaming products and services.

Extended description

RAGE enables deploying new approaches, methods and tools that support social and educational stakeholders at reducing huge EU labour market mismatches, by using Applied Gaming solutions for speeding-up the creation of a modernised skilled workforce. The sustainability of this market innovation is fostered by the transfer of advanced technologies and know-how to accelerate growth of the EU Applied Game studios ecosystem and secure a competitive supply of skills building gaming products and services.
StatusFinished
Effective start/end date1/02/15 → 31/07/19
View all
View less

Access Project

Activities

  • 1 Oral presentation

Self-debriefing or Teacher-debriefing on a Game for Learning IT Communication Skills?

Rob Nadolski (Speaker)

5 Oct 2018

Activity: Talk or presentation types › Oral presentation › Academic

Research Output

Artificial intelligence moving serious gaming: Presenting reusable game AI components

Westera, W., Prada, R., Mascarenhas, S., Santos, P. A., Dias, J., Guimarães, M., Georgiadis, K., Nyamsuren, E., Bahreini, K., Yumak, Z., Christyowidiasmoro, C., Dascalu, M., Gutu-Robu, G. & Ruseti, S., Jan 2020, In : Education and Information Technologies. 25, 1, p. 351-380 30 p.

Research output: Contribution to journal › Article › Academic › peer-review

Open Access
    • 27 Downloads (Pure)

    Validation of a Cyberbullying Serious Game Using Game Analytics

    Calvo-Morata, A., Rotaru, D. C., Alonso-Fernández, C., Freire-Morán, M., Martínez-Ortiz, I. & Fernández-Manjón, B., 2020, In : IEEE Transactions on Learning Technologies. 13, 1, p. 186-197 12 p.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    File
    • 61 Downloads (Pure)

    A fuzzy logic approach to reliable real-time recognition of facial emotions

    Bahreini, K., van der Vegt, W. & Westera, W., Jul 2019, In : Multimedia Tools and Applications. 78, 14, p. 18943–18966

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    • 1 Downloads (Pure)