User-centred and evidence-based design of smart games for poor text comprehenders: the TERENCE experience
by Fernando De la Prieta; Tania Di Mascio; Rosella Gennari; Ivana Marenzi; Pierpaolo Vittorini
International Journal of Technology Enhanced Learning (IJTEL), Vol. 6, No. 3, 2014

Abstract: More than 10% of children in the age range 7-11 turn out to be poor text comprehenders: they have difficulties in reasoning about events of a story. TERENCE is the first adaptive learning system with stories and companion smart games, for reasoning about stories, and developed for primary-school poor comprehenders. The development of TERENCE followed both the user-centred and the evidence-based design methodologies, by placing users at the centre of the development process and by choosing a design because of evidence of its effectiveness for the users. This paper presents the TERENCE smart games: it explains how such methodologies were used for iteratively designing and evaluating incrementally improved versions of the TERENCE smart games.

Online publication date: Mon, 30-Mar-2015

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