Computer Science and Educational Software Design

Developing educational software requires thinking, problematizing, representing, modeling, implementing and analyzing pedagogical objectives and issues, as well as conceptual models and software architectures. Computer scientists face the difficulty of understanding the particular issues and phenomena to be taken into account in educational software projects and of avoiding a naïve technocentered perspective. On the other hand, actors with backgrounds in human or social sciences face the difficulty of understanding software design and implementation issues, and how computer scientists engage in these tasks.

Tchounikine argues that these difficulties cannot be solved by building a kind of 'general theory' or 'general engineering methodology' to be adopted by all actors for all projects: educational software projects may correspond to very different realities, and may be conducted within very different perspectives and with very different matters of concern. Thus the issue of understanding each others' perspectives and elaborating some common ground is to be considered in context, within the considered project or perspective. To this end, he provides the reader with a framework and means for actively taking into account the relationships between pedagogical settings and software, and for working together in a multidisciplinary way to develop educational software.

Pierre Tchounikine, PhD, is Full Professor of Computer Science at the University of Grenoble (France). He is presently leader of Grenoble's multidisciplinary research team (40 persons) edicated to Technology Enhanced Learning (TEL). He has been involved in the construction and leadership of the European Network for Excellence Kaleidoscope (over 1.000 researchers from different disciplines involved in TEL) and is now leading Grenoble's participation to the Stellar European network. He serves in the International Society for the Learning Sciences educational committee (since 2008) and has been member of the Artificial Intelligence and Education executive committee (2003-2011). As a Computer Science re-searcher involved for 20 years in the TEL field, reviewer of many articles and projects, supervisor and reviewer of many PhD theses, he has developed a specific interest in analyzing and conceptualizing the relations and issues related to the Computer Science dimensions of TEL seen as a multidisciplinary field.