Ambiente virtual de aprendizagem: estruturação de roteiro para curso online

O presente trabalho visa descrever os passos para desenvolvimento de um curso e sua estrutura em ambiente virtual de aprendizagem Moodle. Para tanto, a pesquisa consistiu na aplicação de conteúdos de enfermagem para oferecimento de curso online em workshop internacional para grupo de estudantes de graduação e licenciatura em enfermagem do Brasil e de Portugal. Durante a pesquisa foram registradas etapas distintas, desde o planejamento do curso passando pela construção e transformação dos conteúdos, até a disponibilização aos estudantes. As atividades interativas e conteúdos foram elaborados pelos professores com participação de equipe técnica. No trabalho são apresentados procedimentos específicos e papéis a serem desempenhados por professores, especialistas, estudantes e técnicos. Os resultados do desenvolvimento e oferecimento do curso online apontaram alguns aspectos a serem aperfeiçoados no processo de trabalho, no formato dos conteúdos e na utilização das ferramentas.

Semi-supervised learning guided by the modularity measure in complex networks

Semi-supervised learning techniques have gained increasing attention in the machine learning community, as a result of two main factors: (1) the available data is exponentially increasing; (2) the task of data labeling is cumbersome and expensive, involving human experts in the process. In this paper, we propose a network-based semi-supervised learning method inspired by the modularity greedy algorithm, which was originally applied for unsupervised learning. Changes have been made in the process of modularity maximization in a way to adapt the model to propagate labels throughout the network. Furthermore, a network reduction technique is introduced, as well as an extensive analysis of its impact on the network. Computer simulations are performed for artificial and real-world databases, providing a numerical quantitative basis for the performance of the proposed method.

Intelligent tutoring system for distance education

This study aims to develop and implement a tool called intelligent tutoring system in an online course to help a formative evaluation in order to improve student learning. According to Bloom et al. (1971,117) formative evaluation is a systematic evaluation to improve the process of teaching and learning. The intelligent tutoring system may provide a timely and high quality feedback that not only informs the correctness of the solution to the problem, but also informs students about the accuracy of the response relative to their current knowledge about the solution. Constructive and supportive feedback should be given to students to reveal the right and wrong answers immediately after taking the test. Feedback about the right answers is a form to reinforce positive behaviors. Identifying possible errors and relating them to the instructional material may help student to strengthen the content under consideration. The remedial suggestion should be given in each answer with detaileddescription with regards the materials and instructional procedures before taking next step. The main idea is to inform students about what they have learned and what they still have to learn. The open-source LMS called Moodle was extended to accomplish the formative evaluation, high-quality feedback, and the communal knowledge presented here with a short online financial math course that is being offered at a large University in Brazil. The preliminary results shows that the intelligent tutoring system using high quality feedback helped students to improve their knowledge about the solution to the problems based on the errors of their past cohorts. The results and suggestion for future work are presented and discussed.