Condi����es de acessibilidade na universidade: o ponto de vista de estudantes com defici��ncia

Coordena����o de Aperfei��oamento de Pessoal de N��vel Superior (CAPES)

Considera����es pr��vias: distinctions between academic and intellectual goals for young children

Lilian Katz refere-se �� crescente tend��ncia nos Estados Unidos de introduzir objetivos de car��ter ���acad��mico��� nos programas destinados a crian��as pequenas, em alternativa a programas centrados simplesmente no jogo espont��neo. Katz prop��e uma terceira alternativa que desenvolva as compet��ncias de car��ter intelectual nas crian��as, de modo a estimular o desenvolvimento das suas mentes e as suas sensibilidades morais e est��ticas. Katz prop��e a introdu����o do trabalho de projeto com crian��as desde os primeiros anos.

Towards an Academic Social Network for Bologna Process

The Bologna Process aimed to build a European Higher Education Area promoting student's mobility. The adoption of Bologna Declaration directives requires a self management distributed approach to deal with student's mobility, allowing frequent updates in institutions rules or legislation. This paper suggests a computational system architecture, which follows a social network design. A set of structured annotations is proposed in order to organize the user's information. For instance, when the user is a student its annotations are organized into an academic record. The academic record data is used to discover interests, namely mobility interests, among students that belongs the academic network. These ideas have been applied into a demonstrator that includes a mobility simulator to compare and show the student's academic evolution.

Concep����es dos professores face �� inclus��o de alunos com NEE no ensino regular

Disserta����o apresentada �� Escola Superior de Educa����o de Lisboa para a obten����o de grau de mestre em Ci��ncias da Educa����o -Especialidade Educa����o Especial

O desenvolvimento da motricidade na crian��a e as express��es: um estudo em contexto de Pr��-Escolar e 1�� ciclo do Ensino B��sico

Mestrado (PES II), Educa����o Pr��-Escolar e Ensino do 1�� Ciclo do Ensino B��sico, 26 de Junho de 2014, Universidade dos A��ores.

A rela����o entre a ��lgebra acad��mica e a ��lgebra escolar em um curso de licenciatura em matem��tica: concep����es de alunos e professores

P��s-gradua����o em Educa����o - FCT

Machine Learning Algorithms at Myocardial Perfusion Imaging - a Preliminary Study

Introduction: A major focus of data mining process - especially machine learning researches - is to automatically learn to recognize complex patterns and help to take the adequate decisions strictly based on the acquired data. Since imaging techniques like MPI ��� Myocardial Perfusion Imaging on Nuclear Cardiology, can implicate a huge part of the daily workflow and generate gigabytes of data, there could be advantages on Computerized Analysis of data over Human Analysis: shorter time, homogeneity and consistency, automatic recording of analysis results, relatively inexpensive, etc.Objectives: The aim of this study relates with the evaluation of the efficacy of this methodology on the evaluation of MPI Stress studies and the process of decision taking concerning the continuation ��� or not ��� of the evaluation of each patient. It has been pursued has an objective to automatically classify a patient test in one of three groups: ���Positive���, ���Negative��� and ���Indeterminate���. ���Positive��� would directly follow to the Rest test part of the exam, the ���Negative��� would be directly exempted from continuation and only the ���Indeterminate��� group would deserve the clinician analysis, so allowing economy of clinician���s effort, increasing workflow fluidity at the technologist���s level and probably sparing time to patients. Methods: WEKA v3.6.2 open source software was used to make a comparative analysis of three WEKA algorithms (���OneR���, ���J48��� and ���Na��ve Bayes���) - on a retrospective study using the comparison with correspondent clinical results as reference, signed by nuclear cardiologist experts - on ���SPECT Heart Dataset���, available on University of California ��� Irvine, at the Machine Learning Repository. For evaluation purposes, criteria as ���Precision���, ���Incorrectly Classified Instances��� and ���Receiver Operating Characteristics (ROC) Areas��� were considered. Results: The interpretation of the data suggests that the Na��ve Bayes algorithm has the best performance among the three previously selected algorithms. Conclusions: It is believed - and apparently supported by the findings - that machine learning algorithms could significantly assist, at an intermediary level, on the analysis of scintigraphic data obtained on MPI, namely after Stress acquisition, so eventually increasing efficiency of the entire system and potentially easing both roles of Technologists and Nuclear Cardiologists. In the actual continuation of this study, it is planned to use more patient information and significantly increase the population under study, in order to allow improving system accuracy.

Intelligent recommendation system for e-learning platforms

As more and more digital resources are available, finding the appropriate document becomes harder. Thus, a new kind of tools, able to recommend the more appropriated resources according the user needs, becomes even more necessary. The current project implements an intelligent recommendation system for elearning platforms. The recommendations are based on one hand, the performance of the user during the training process and on the other hand, the requests made by the user in the form of search queries. All information necessary for decision-making process of recommendation will be represented in the user model. This model will be updated throughout the target user interaction with the platform.

Forma����o em Universal Design for Learning

Na qualidade de Diretora Regional das Comunidades, fomos respons��vel pela reda����o dos artigos e coordena����o da p��gina "Comunidades", integrada no jornal A��oriano Oriental, servindo a mesma para a divulga����o das atividades realizadas pela Dire����o Regional Das Comunidades do Governo dos A��ores.

A��ores recebe Congresso Internacional de Universal Design for Learning

Na qualidade de Diretora Regional das Comunidades, fomos respons��vel pela reda����o dos artigos e coordena����o da p��gina "Comunidades A��orianas no Mundo", integrada no jornal Mundo Portugu��s, servindo a mesma para a divulga����o das atividades realizadas pela Dire����o Regional Das Comunidades do Governo dos A��ores.

Unlocking the technology-mediated learning process : insights and articulating actions for an institutional approach

This paper is part of the results from the project "Implementation Strategies and Development of an Open and Distance Education System for the University of the Azores" funded by the European Social Fund. http://hdl.handle.net/10400.3/2327

O desenvolvimento de um modelo de ensino virtual num contexto de investimento incipiente em e-learning : progressos e desafios

Este artigo relata o desenvolvimento de um modelo de ensino virtual em curso na Universidade dos A��ores. Depois de ter sido adotado na leciona����o de disciplinas da ��rea da Teoria e Desenvolvimento Curricular em regime de e-learning e b-learning, o modelo foi, no ano acad��mico de 2014/15, estendido �� leciona����o de outras disciplinas. Al��m de descrever o modelo e explicar a sua evolu����o, o artigo destaca a sua ado����o no contexto particular de uma disciplina cuja componente online foi lecionada em circunst��ncias especialmente desafiadoras. Neste sentido, explica o processo de avalia����o da experi��ncia, discute os seus resultados e sugere pistas de melhoria. Essa avalia����o enquadra-se num processo de investiga����o do design curricular ��� a metodologia que tem sido usada para estudar o desenvolvimento do modelo.

Studying the development of an online course on Curriculum : implications for the students' workload in light of the Bologna principles

ECER 2014 "The Past, the Present and Future of Educational Research in Europe" will take place at the University of Porto from 1 - 5 September 2014.

Facebook vs moodle : Surveying university students on the use of learning management systems to support learning activities outside the classroom

CISTI'2015 - 10�� Confer��ncia Ib��rica de Sistemas e Tecnologias de Informa����o, 17 a 20 de junho de 2015, ��gueda, Aveiro, Portugal.