Mapa de Conteúdos e Mapa de Dependências:Ferramentas Pedagógicas para uma Metodologia de Planejamento baseada em Objetivos Educacionais e sua Implementação em um Ambiente Virtual de Aprendizagem

Furthered mainly by new technologies, the expansion of distance education has created a demand for tools and methodologies to enhance teaching techniques based on proven pedagogical theories. Such methodologies must also be applied in the so-called Virtual Learning Environments. The aim of this work is to present a planning methodology based on known pedagogical theories which contributes to the incorporation of assessment in the process of teaching and learning. With this in mind, the pertinent literature was reviewed in order to identify the key pedagogical concepts needed to the definition of this methodology and a descriptive approach was used to establish current relations between this conceptual framework and distance education. As a result of this procedure, the Contents Map and the Dependence Map were specified and implemented, two teaching tools that promote the planning of a course by taking into account assessment still in this early stage. Inserted on Moodle, the developed tools were tested in a course of distance learning for practical observation of the involved concepts. It could be verified that the methodology proposed by the above-mentioned tools is in fact helpful in course planning and in strengthening educational assessment, placing the student as central element in the process of teaching and learning

Comunicação gráfica em interfaces de hipermídia de educação a distância via web

This study aims to analyze the communication graphics of layouts of hypermedia interfaces oriented to Distance Education via the Internet. This proposal is justified by widening the offer of courses that modality and the consequent application of items of hypermedia for teaching-learning. The method of analysis involved the search nethnographic, addressed to the cycle student intermediary of the Training Program Continuing Medias in Education, and the evaluation heuristic of the interfaces of Virtual Learning Environment "E-Proinfo" and of the modules of the Cycle. This evaluation we observed the implementation of the attributes of usability and the degree of interactivity of each interface. The results revealed an inefficient implementation of the attributes of usability, which meant a consequent reduction of the levels of interactivity. As proposing the present Design Virtual Learning, a model of hypermedia layout, designed to generate usability for Virtual learning environments and extend the acquisition of literancy for students and tutors. This proposal design not hypermedia aims the demarcation of models pre-conceived, but the proposal of layout in which each element of hypermedia is applied with a view to generate a seaworthiness intuitive, more agile and efficient, in these ambients

Modelo de interoperabilidade para utilização dos recursos dos ambientes virtuais de aprendizagem através de dispositivos móveis

The technological evolution has been making the Distance Education accessible for a greater number of citizens anytime and anywhere. The potential increase of the supply for mobile devices integrated to mobile learning environments allows that the information comes out of the physical environment, creating opportunities for students and teachers to create geographically distributed learning scenarios. However, many applications developed for these environments remain isolated from each other and do not become integrated sufficiently into the virtual learning environments (AVA). This dissertation presents an interoperability model between mobile devices and distinct AVA based on webservices. For the conception of this model, requirements engineering and software architecture techniques were used. With the goal of showing the model viability, a mobile application focused on surveys has been developed, and additionally, the main functionalities related to the interoperability were tested

Utilizando comitês de classificadores para predição de rendimento escolar

Educational Data Mining is an application domain in artificial intelligence area that has been extensively explored nowadays. Technological advances and in particular, the increasing use of virtual learning environments have allowed the generation of considerable amounts of data to be investigated. Among the activities to be treated in this context exists the prediction of school performance of the students, which can be accomplished through the use of machine learning techniques. Such techniques may be used for student’s classification in predefined labels. One of the strategies to apply these techniques consists in their combination to design multi-classifier systems, which efficiency can be proven by results achieved in other studies conducted in several areas, such as medicine, commerce and biometrics. The data used in the experiments were obtained from the interactions between students in one of the most used virtual learning environments called Moodle. In this context, this paper presents the results of several experiments that include the use of specific multi-classifier systems systems, called ensembles, aiming to reach better results in school performance prediction that is, searching for highest accuracy percentage in the student’s classification. Therefore, this paper presents a significant exploration of educational data and it shows analyzes of relevant results about these experiments.