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Methods described in this paper use these inputs in order to extract specific information about the learner (outputs).
In this method, information about the learner is extracted from his/her communication with a Non Player Character (NPC).
In fact, researchers, teachers or game creators can simply integrate one of these services inside an educational game for extracting useful information about the learner.
The goal of this method is to follow the path of the learner during the game play, record the learner's trajectory towards a goal and then interpret and infer information about the learner.
In fact, each path has a specific meaning and leads to specific information about the learner (Moreno-Ger et al. 2008; Noguez et al. 2009; Rebolledo-Mendez et al. 2009; Kopeinik et al. 2012).
We considered invalid those responses that were incomplete and contained only information about the learner's degree of visual impairment.
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In fact, to design an educative and didactic plan and to provide useful tools, activities and tasks, teachers and educators need to collect information about the learners.
It is argued that in the needs analysis process, the present situation analysis (PSA), that is, personal information about the learners and factors which may affect their learning, is just as if not more important than, the target situation analysis (TSA), that is, professional information about the learners in terms of their future language requirements.
These traces are interpreted to infer further information about the learners.
Most of these educational games include mechanism to extract specific information about the learners.
Moreover, Perturbation Modeling is used to extract information about the learners in an unobtrusive way (Champagnat et al. 2010; Rebolledo-Mendez et al. 2008; Cheng et al. 2009; Fareed et al. 2010).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com