Metadata Technology Integration in Libraries

This chapter explores metadata technology integration as a panacea for effective learning in the 21st century libraries. The high influx of information resources into libraries necessitated a shift from printed to digitally web-based form of preserving and describing information, which affected users' access to information. This implies direct involvement of librarians in the cycle of influencers of open educational resources. In the review, ontology of metadata and repositories of learning object have demonstrated how UNESCO's proclamation about open educational resources has stimulated visible accessibility to information globally. Various ways of including librarians in the push for inclusive access to education have been highlighted.

WHAT STUDENTS IN THE FIRST GRADES OF ELEMENTARY SCHOOL KNOW ABOUT TABLES

The definition of table has not been introduced in Brazilian textbooks for the early years of elementary school. We see that charts and databases have been named tables but are not approached in the same way. This makes it impossible for students to differentiate between them, which may cause learning difficulties. Therefore, it is essential that we reflect on students' knowledge about table, which is an instrument that systematizes information so that they can visualize reality. Thus, the aim of this study was to analyze the knowledge students from the 1st to 5th grade of elementary school have about representations in tables. To this end, 325 students (6 to 10 years old from 19 classes from different public schools in Greater Recife) participated. Students were asked to answer six activities individually, four of interpretation of a single and a double entry table with qualitative and quantitative variables, and two activities involving the construction of a table from a database or set of figures that needed to be classified. The results show that students’ performance progress in all activities, and that they present better performance in table interpretation than in table construction. Since the 1st grade the students were able to construct tables with one variable, however, to construct a table with two variables showed to be very difficult even for the 5th graders. In all grades the students had difficulties to make decisions based on the data presented, what is the function of table representation. This may be due to the absence of teaching practices focused on the table as a learning object. Abstract: Portuguese A definição de tabela não foi introduzida nos livros didáticos brasileiros dos anos iniciais do Ensino Fundamental. Observamos que quadros e bancos de dados vêm sendo nomeados de tabelas e não são abordados da mesma maneira. Isso causa uma indiferenciação entre os mesmos e dificulta a aprendizagem. Então, é fundamental refletir sobre os conhecimentos dos alunos sobre tabelas, uma vez que essas têm a função de sistematizar informações para que se possa ter uma visão da realidade. Assim, o objetivo desse estudo foi analisar o conhecimento de alunos do 1º ao 5º ano do Ensino Fundamental sobre representações em tabelas. Para tal, participaram 325 alunos (6 a 10 anos de idade de 19 turmas de diferentes escolas públicas do Grande Recife). Foi solicitado aos alunos que individualmente respondessem seis atividades, quatro de interpretação de tabelas simples e de dupla entrada, com variáveis qualitativas e quantitativas e duas atividades envolvendo construção de tabelas, a partir de um banco de dados ou de um conjunto de figuras que precisavam ser classificadas. Os resultados mostram que o desempenho dos alunos evolui em todas as atividades, e que eles apresentam melhor desempenho na interpretação de tabelas do que na construção de tabelas. De o 1º ano os alunos conseguiram construir tabelas com uma variável, porém, construir uma tabela com duas variáveis mostrou-se muito difícil mesmo para os alunos do 5º ano. Em todas os anos os alunos tiveram dificuldade em tomar decisões a partir dos dados apresentados e compreender a função das representações em tabelas. Tais dificuldades podem ser em função da ausência de práticas de ensino focadas na tabela como objeto de aprendizagem.

Desenvolvimento e aplicação de um objeto de aprendizagem m-learning para crianças da educação infantil

Este trabalho visa inferir se a utilização de tecnologia da informação como instrumento de apoio ao ensino-aprendizagem pode influenciar e ajudar na identificação de formas geométricas básicas e ligeira indicação das cores primárias na educação infantil. Foi proposto e desenvolvido um jogo para tablet (objeto de aprendizagem), aplicado e observado em turmas do maternal e jardim de infância. Neste artigo são descritas as etapas da implementação, a descrição das interfaces a fim de identificar a adequação desta proposta, que como resultado considerou-se adequado para as crianças da turma do jardim de infância, mostrando verbalmente que fixaram o conteúdo proposto. This work aims to infer whether the use of information technology as a support tool for teaching-learning can influence and help in the identification of basic geometric shapes and slight indication of primary colors in early childhood education. A tablet game (learning object) was proposed and developed, applied and observed in kindergarten and nursery classes. This article describes the stages of implementation, the description of the interfaces in order to identify the suitability of this proposal, which as a result was considered appropriate for the children of the kindergarten class, showing verbally that they fixed the proposed content.

A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients

Purpose The aim of this study was to assess the feasibility of the development and training of a deep learning object detection model for automating the assessment of fiducial marker migration and tracking of the prostate in radiotherapy patients. Methods and Materials A fiducial marker detection model was trained on the YOLO v2 detection framework using approximately 20,000 pelvis kV projection images with fiducial markers labelled. The ability of the trained model to detect marker positions was validated by tracking the motion of markers in a respiratory phantom and comparing detection data with the expected displacement from a reference position. Marker migration was then assessed in 14 prostate radiotherapy patients using the detector for comparison with previously conducted studies. This was done by determining variations in intermarker distance between the first and subsequent fractions in each patient. Results On completion of training, a detection model was developed that operated at a 96% detection efficacy and with a root mean square error of 0.3 pixels. By determining the displacement from a reference position in a respiratory phantom, experimentally and with the detector it was found that the detector was able to compute displacements with a mean accuracy of 97.8% when compared to the actual values. Interfraction marker migration was measured in 14 patients and the average and maximum ± standard deviation marker migration were found to be 2.0±0.9 mm and 2.3±0.9 mm, respectively. Conclusion This study demonstrates the benefits of pairing deep learning object detection, and image-guided radiotherapy and how a workflow to automate the assessment of organ motion and seed migration during prostate radiotherapy can be developed. The high detection efficacy and low error make the advantages of using a pre-trained model to automate the assessment of the target volume positional variation and the migration of fiducial markers between fractions.