Abstract:

Much of the worldwide researches conducted seek to establish the determinants of study results. The idea has been to prove that interest, arousal, valence and learning productivity have a great deal of influence on the results learners are able to achieve. Noteworthy from such researches is the rather close relationship between the interests, arousal, valence and learning productivity with the academic achievements by students. A subject for learning seemingly requires constant adaptation, as experts in the field have noticed, relevant to situational and individual interests. This is needed to stimulate interest, increase learning productivity and sustain a rational level of stress among students. Thereby the authors of the article undertook the development of a highly suitable tool to accomplish such a goal, the Affective, Intelligent, Tutoring System for Passive House Neuromarketing (with the acronym ATHENA). Integration of the self-assessment and self-esteem measurements of students with multimodal biometric and intelligent methodologies and technologies is an ATHENA innovation. This new System custom makes a rational learning process for some specific student. This can be accomplished with biometric technologies by considering the level of interest in some study, its difficulty and the stress level the study course generates. An automatic function, which this System includes, assembles an optimized set of personalized materials aimed at some specific student relevant to a topic of a study module. The partial demonstration of this newly-developed System appears as a case study in this article.

Keywords:

Artificial intelligence, Smart technology, Affective tutoring systems, Student behaviour, academic performances and achievements, Interest in studies, emotion.