3 research outputs found

    Modelagem autom?tica e din?mica de estilos de aprendizagem em sistemas adaptativos e inteligentes para educa??o a dist?ncia: estudo comparativo entre duas abordagens

    Get PDF
    Nos ?ltimos dez anos muitos pesquisadores t?m realizado estudos sobre assist?ncia personalizada e inteligente em Ambientes Educacionais a Dist?ncia, baseada na identifica??o dos Estilos de Aprendizagem. Sabe-se que o aprendizado ? algo extremamente particular, pois cada estudante possui estilos pr?prios e pode sofrer mudan?as diante de situa??es diversas como, por exemplo, objetivo, motiva??o, personalidade, etc. Por isso, o conceito de adaptabilidade do conte?do did?tico tem se tornado de grande import?ncia na personaliza??o do Sistema de Gerenciamento de Aprendizagem (SGA). Diante desse fato, Dor?a (2012) prop?e uma abordagem de Sistema Adaptativo e Inteligente para Educa??o (SAIE), utilizando t?cnicas probabil?sticas e Intelig?ncia Artificial (IA), capaz de detectar e adaptar, de maneira din?mica e autom?tica, os estilos de aprendizagem do estudante, considerando o Modelo de Estilo de Aprendizagem Felder-Silverman?s. Ap?s pesquisa detalhada, foram propostas algumas adapta??es baseadas na abordagem original, alterando o funcionamento de dois componentes espec?ficos: o M?dulo Pedag?gico e o Componente de Modelagem do Estudante. Al?m disso, prop?e-se uma nova estrutura do Modelo Estudante, contemplando o hist?rico de desempenho do aluno nos processos avaliativos. Por conseguinte, realizaram-se testes para avaliar os impactos de tais mudan?as por meio uma compara??o estat?stica utilizando o m?todo T-Pareado. Pelos resultados obtidos, as ideias deste trabalho proporcionaram uma melhora m?dia de 6,07% no desempenho avaliativo do estudante e uma redu??o m?dia de 68,27% nos problemas de aprendizagem, demonstrando efici?ncia e efic?cia da proposta.Disserta??o (Mestrado Profissional) ? Programa de P?s-Gradua??o em Educa??o, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2015.Since last decade many researchers have been conducting studies on personalized and intelligent assistance in distance education based on identification of learning styles. It is known that learning is something very particular because each student has their own styles and are subject to change on a variety of situations such as goal, motivation, personality, etc. Therefore, this study discusses the concept of adaptability of educational content as a way to provide customization of Learning Management System (LMS). Through probabilistic techniques and Artificial Intelligence (AI), Dor?a (2012) proposed a approach Adaptive and Intelligent System for Education (AIES) able to dynamically and automatically detect, select and adapt learning objects based on the student?s profile through Felder-Silverman Learning Styles Model (FSLSM). After detailed study, it has been proposed some adaptations based on this approach, thereby altering the operation of two specific components: the Pedagogical Module and the Student Modeling Component. In addition, it is proposed a new structure Model Student, considering learner performance history in the evaluation processes. Therefore, it carried out tests to assess the impacts of such changes through a statistical comparison by T-Paired method. From the results, the ideas in this work provides an average improvement of 6.07% in the performance evaluation of the student and an average reduction of 68.27% in the learning problems, demonstrating proposal of efficiency and effectiveness

    The dynamics of complex systems. Studies and applications in computer science and biology

    Get PDF
    Our research has focused on the study of complex dynamics and on their use in both information security and bioinformatics. Our first work has been on chaotic discrete dynamical systems, and links have been established between these dynamics on the one hand, and either random or complex behaviors. Applications on information security are on the pseudorandom numbers generation, hash functions, informationhiding, and on security aspects on wireless sensor networks. On the bioinformatics level, we have applied our studies of complex systems to theevolution of genomes and to protein folding
    corecore