Navegando por Assunto "Ambientes Virtuais de Aprendizagem (AVAs)"

Agora exibindo 1 - 5 de 5

Acesso aberto (Open Access)
Avaliação automática de questões discursivas usando LSA
(Universidade Federal do Pará, 2016-02-05) SANTOS, João Carlos Alves dos; FAVERO, Eloi Luiz; http://lattes.cnpq.br/1497269209026542
This work investigates the use of a model using Latent Semantic Analysis (LSA) In the automatic evaluation of short answers, with an average of 25 to 70 words, of questions Discursive With the emergence of virtual learning environments, research on Automatic correction have become more relevant as they allow the mechanical correction With low cost for open questions. In addition, automatic Feedback and eliminates manual correction work. This allows you to create classes With large numbers of students (hundreds or thousands). Evaluation research Texts have been developed since the 1960s, but only in the The current decade are achieving the necessary accuracy for practical use in teaching. For end users to have confidence, the research challenge is to develop Evaluation systems that are robust and close to human evaluators. despite Some studies point in this direction, there are still many points to be explored In the surveys. One point is the use of bigrasms with LSA, even if it does not contribute Very much with the accuracy, contributes with the robustness, that we can define as reliability2, Because it considers the order of words within the text. Seeking to perfect an LSA model In the direction of improving accuracy and increasing robustness we work in four directions: First, we include word bigrasms in the LSA model; Second, we combine models Co-occurrence of unigram and bigrams using multiple linear regression; third, We added a stage of adjustments on the LSA model score based on the Number of words of the responses evaluated; Fourth, we performed an analysis of the Of the scores attributed by the LSA model against human evaluators. To evaluate the We compared the accuracy of the system against the accuracy of human evaluators Verifying how close the system is to a human evaluator. We use a LSA model with five steps: 1) pre-processing, 2) weighting, 3) decomposition a Singular values, 4) classification and 5) model adjustments. For each stage it was explored Strategies that influenced the final accuracy. In the experiments we obtained An 84.94% accuracy in a comparative assessment against human Correlation among human specialists was 84.93%. In the field studied, the Evaluation technology had results close to those of the human evaluators Showing that it is reaching a degree of maturity to be used in Assessment in virtual learning environments. Google Tradutor para empresas:Google Toolkit de tradução para appsTradutor de sitesGlobal Market Finder.
Acesso aberto (Open Access)
Avaliação de desempenho em programa de formação massiva utilizando técnicas de mineração de dados
(Universidade Federal do Pará, 2015-08-28) PINHEIRO, Marcia Fontes; CARDOSO, Diego Lisboa; http://lattes.cnpq.br/0507944343674734; SANTANA, Ádamo Lima de; http://lattes.cnpq.br/4073088744952858
With the evolution of the application of Information and Communication Technologies (ICTs) in education was fostered the emergence of new methods, techniques and procedures that favor active learning, planning and management courses and support for overcoming difficulties in the educational process, be distance learning or presencial teaching. The Virtual Learning Environments (VLEs) have become fundamental to the conduct of educational processes, providing the democratization of education and enabling continuing education, as well as generating large volumes of data about the learning process. Have information about the learning process is of utmost importance for educators and students, as it allows to support decision making and reflection on the methodologies applied in education, used content and student performance. In this sense, this research proposes feature selection methodology for performance evaluation Massive Training Program students using data mining techniques. The proposed methodology considers identify attributes to be used for making inferences related to student performance and correlated with social aspects through qualitative and quantitative analysis of results. This methodology was developed considering the educational context and valuing diversity in the process. To demonstrate the feasibility of the proposed methodology was applied case study on hybrid environment of massive learning with proprietary databases from Telecentros.BR program provided by the managers of the program. In the case study was applied to feature selection methodology for Educational Data Mining, thus classification tasks were applied using the J48 algorithms, Random Forest and Random Tree to predict student grades; grouping tasks using the K-means algorithm to find profile of students based on the VLE usage logs and Self-Organized Maps (SOM) to find quality educational features from textual qualitative assessments. The results obtained through case study demonstrated the feasibility of the methodology considering the educational context and present new performance indicators to managers of Telecentros.BR program, such as profile use of AVA, evasion indicators, student profile.
Acesso aberto (Open Access)
Game Marabá: projeto, implementação e avaliação de um jogo educativo para auxílio no ensino de estudos amazônicos
(Universidade Federal do Pará, 2017-01-20) TEIXEIRA, Rangel Filho; RIBEIRO FILHO, Manoel; http://lattes.cnpq.br/9329438229733907
For the process of teaching and learning to be successful, a high degree of motivation in order to have an intense involvement by the students is required. With graphics that simulate reality, games for education are usually a dynamic, interactive and fun way to stream content to those who play regardless of age, where can further develop cognitive, social, emotional and cultural skills. In this context, this paper presents an educational game developed in the third person with the historical theme of the founding of the city of Maraba-PA, and the rubber cycle, its first economic cycle. It is described as the script was built from a storyline created by the team based on the history of the event, which seeks to emphasize the playful. The game was designed to be an auxiliary tool of discipline Amazonian Studies, which is part of the curriculum of the 8th grade of elementary school in the state of Para schools; and it has been tried and evaluated by various classes of a public school, achieving very positive results.
Acesso aberto (Open Access)
Mineração de dados educacionais: relato de experiência no ambiente virtual LABSQL
(Universidade Federal do Pará, 2014-09-19) DIAS, Maxwel Macedo; FAVERO, Eloi Luiz; http://lattes.cnpq.br/1497269209026542
One of the digital technologies used in current practices of online education is the Virtual Learning Environment (VLE). Educators use these environments to provide online information, but have little support to assess the learning of learners at a distance, so that the lack of perception of the educator as to the state of understanding of their students can lead tofailure of an online course. Most VLEs store large volumes of data from the history of accesses to system resources made by students, their assessments, among others. In recent years the Educational Data Mining has been used to explore the data from educational settings, as well as better understand the students and their teaching and learning. The objective of this work is to assess online learning by the use of Educational Data Mining on the LabSQL virtual environment used in the Federal University of Pará, through the application of techniques called Decision Tree, Bayesian Network, Association Rules and Cluster Analysis. The results obtained proved to be efficient to support educators in the assessment of online learning because they allow the analysis of student’s profile regarding the use of this technology and the teaching-learning environment in LabSQL. Moreover, the rules generated from data mining indicate how the student can improve learning by better using the environment.
Acesso aberto (Open Access)
Um ambiente colaborativo de aprendizagem interdisciplinar apoiado por interfaces adaptativas
(Universidade Federal do Pará, 2006-12-07) LIMA, Paulo Sérgio Rodrigues; SILVA, Orlando Fonseca; http://lattes.cnpq.br/7387718587227127; BARREIROS, José Augusto Lima; http://lattes.cnpq.br/1246564618922453
The use Virtual Learning Environment (VLE) becomes, day by day, more evident in several public teaching institutions, as well as in private and government agencies. Several versions of VLEs are available for free use, each one under its own characteristics. In Brazil there are almost a thousand institutions that have been using these environments, which show the necessity of investments and new research in this area. This theses specifies and develops a VLE, its main objective is to reduce the problems found in many approach of the environment ready for use thus recommending an environment called "Interdiscipline Collaborative Learning Environment" which was prepared to offer an infra-structure which permits to unite cooperative working concepts, learning virtual communities, interdiscipline, interfaces adaptation and in a complementary way allow creation of automatic recommendations to its users based on their profiles.