Enhancing the offer for entrepreneurship education is an important challenge for the nowadays knowledge societies. The eSG project is addressing this issue by analysing the added value that could be contributed by employing serious games (SGs) as a tool for allowing students in particular technology students - To become familiar, mainly through practice, with basic concepts of entrepreneurship and company management. This paper presents the main requirements for the course and SGs obtained by surveying literature, entrepreneurs, students and teachers. We represented the requirements in a table template keeping into account usability, pedagogy, the entrepreneurship skills expressed by state of the art models and three major axes for entrepreneurship education at universities. These table descriptors were then used to assess validity of SGs and choose an appropriate mix for the courses. We have also defined a set of metrics to evaluate the advancement of students during the course. Based on these tools and knowledge, the next steps of the project will involve extensive user testing in the actual courses that are being performed in Genoa, Delft and Barcelona.
The authors present the methodological background to and underlying research design of an ongoing research project on the scientific evaluation of serious games and/or computer-based simulation games (SGs) for advanced learning. The main research questions are: (1) what are the requirements and design principles for a comprehensive social scientific methodology for the evaluation of SGs?; (2) to what extent do SGs contribute to advanced learning?; (3) what factors contribute to or determine this learning?; and (4) to what extent and under what conditions can SG-based learning be transferred to the real world? In the Netherlands between 2005 and 2012, several hundred SG sessions with 12 SGs were evaluated systematically, uniformly and quantitatively to create a dataset, which comprises data on 2488 respondents in higher education or work organizations. The authors present the research model, the quasi-experimental design and the evaluation instruments. This focus in this paper is on the methodology and dataset, which form a sound foundation for forthcoming publications on the empirical results.
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Following the Sector Protocol for Quality Assurance for Practice-Based.Contributors Academy for AI, Games and Media:Mata Haggis Burridge (prof. EG), Qiqi Zhou, Hillevi Boerboom, Maria Pafi (postdoc, WuR), Alexander van Buggenum, Ella Betts, Wilma Franchimon (dir. AGM), Nick van Apeldoorn (Coord.Digireal), Harald Warmelink (Coord. Cradle & MSP Challenge), Magali Patrocínio Gonçalves, Ard Bonewald (MT Games), Marin Hekman, Marie Lhuissier, Carlos Santos (CTO Cradle), Jeremiah van Oosten (MT, games), Kevin Hutchinson, Frank Peters (MT ADS&AI), Bram Heijligers, Joey Relouw, Marnix van Gisbergen (Prof. DMC), Shima Rezaei Rashnoodi (Coord. DMC), Phil de Groot, Igor Mayer (prof. SG), Niels Voskens, Fabio Ferreira da Costa Campos, Tuki Clavero, Jens Hagen, Wilco Boode, Natalia Harazhanka-Pietjouw (PPC), Jacopo Fabrini & Silke Hassreiter.
