Resumo

MANCERA VALETTS, Laura Patricia; BALDIRIS NAVARRO, Silvia Margarita  e  BETANCUR CHICUE, Viviana. Indicators of ADHD symptoms in virtual learning context using machine learning technics. Rev. esc.adm.neg [online]. 2015, n.79, pp.22-37. ISSN 0120-8160.

This paper presents a user model for students performing virtual learning processes. This model is used to infer the presence of Attention Deficit Hyperactivity Disorder (ADHD) indicators in a student. The user model is built considering three user characteristics, which can be also used as variables in different contexts. These variables are: behavioral conduct (BC), executive functions performance (EFP), and emotional state (ES). For inferring the ADHD symptomatic profile of a student and hislher emotional alterations, these features are used as input in a set of classification rules. Based on the testing of the proposed model, training examples are obtained. These examples are used to prepare a classification machine learning algorithm for performing, and improving, the task of profiling a student. The proposed user model can provide the first step to adapt learning resources in e-learning platforms to people with attention problems, specifically, young-adult students with ADHD.

Palavras-chave : Attention deficit hyperactivity disorder; adaptive hypermedia system; virtual learning platform; user modeling; machine learning technics; classification rules.

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