53 resultados para Electronic Problem-based Learning
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Psicologia - FCLAS
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Pós-graduação em Educação - FFC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Educação para a Ciência - FC
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The mathematical problem solving is very important in the student's school career, leading him to develop his creativity and self-confidence. The way the teacher explains specific content may interfere in the student learning. Some researches show that the teacher trust and his problem solving rapport lead to a more satisfying job. This research focused on students of the course PARFOR at UNESP Bauru. This work was performed in order to investigate the affinity, trust and attitudes toward mathematical problem solving, the performance from who have positive and negative attitudes and the results that may be generated during class
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The study takes as its object the evaluation process of a graduation discipline at the School of Arts, Sciences and Humanities, University of São Paulo (USP), developed through the methodology of Problem Based Learning (PBL). We consider three distinct and complementary aspects: procedural review (partial and final) student peer assessment and self-assessment. The sample consisted of 17 students from the undergraduate courses. Data collection occurred in two stages through questionnaires with open and closed questions. The qualitativeinterpretative analysis allowed two comparisons: cross (intra-step) and longitudinal (inter-steps). The results point to a trend of students evaluating objective aspects of the work as well as to overcome some difficulties in the development of the project.
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Recent national education policy documents have emphasized the importance of methodologies and problem-centered learning processes. The purpose of this article is to promote reflection on the problem-based learning (PBL) understood as a methodology that favors learning processes and the active role of students. PBL emerged in undergraduate medical and has been gaining ground not only in higher education but also in basic education. This conception of teaching-learning breaks with the traditional relationship teacher-student- knowledge, introducing new dynamics of relationships between subjects and those with knowledge. From this perspective the educational performance turns and brings new challenges to the teacher.
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In the context of medical school instruction, the segmented approach of a focus on specialties and excessive use of technology seem to hamper the development of the professional-patient relationship and an understanding of the ethics of this relationship. The real world presents complexities that require multiple approaches. Engagement in the community where health competence is developed allows extending the usefulness of what is learned. Health services are spaces where the relationship between theory and practice in health care are real and where the social role of the university can be revealed. Yet some competencies are still lacking and may require an explicit agenda to enact. Ten topics are presented for focus here: environmental awareness, involvement of students in medical school, social networks, interprofessional learning, new technologies for the management of care, virtual reality, working with errors, training in management for results, concept of leadership, and internationalization of schools. Potential barriers to this agenda are an underinvestment in ambulatory care infrastructure and community-based health care facilities, as well as in information technology offered at these facilities; an inflexible departmental culture; and an environment centered on a discipline-based medical curriculum.
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The correct classification of sugar according to its physico-chemical characteristics directly influences the value of the product and its acceptance by the market. This study shows that using an electronic tongue system along with established techniques of supervised learning leads to the correct classification of sugar samples according to their qualities. In this paper, we offer two new real, public and non-encoded sugar datasets whose attributes were automatically collected using an electronic tongue, with and without pH controlling. Moreover, we compare the performance achieved by several established machine learning methods. Our experiments were diligently designed to ensure statistically sound results and they indicate that k-nearest neighbors method outperforms other evaluated classifiers and, hence, it can be used as a good baseline for further comparison. © 2012 IEEE.
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The regular-geometric-figure solution to the N-body problem is presented in a very simple way. The Newtonian formalism is used without resorting to a more involved rotating coordinate system. Those configurations occur for other kinds of interactions beyond the gravitational ones for some special values of the parameters of the forces. For the harmonic oscillator, in particular, it is shown that the N-body problem is reduced to N one-body problems.
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This paper tackles a Nurse Scheduling Problem which consists of generating work schedules for a set of nurses while considering their shift preferences and other requirements. The objective is to maximize the satisfaction of nurses' preferences and minimize the violation of soft constraints. This paper presents a new deterministic heuristic algorithm, called MAPA (multi-assignment problem-based algorithm), which is based on successive resolutions of the assignment problem. The algorithm has two phases: a constructive phase and an improvement phase. The constructive phase builds a full schedule by solving successive assignment problems, one for each day in the planning period. The improvement phase uses a couple of procedures that re-solve assignment problems to produce a better schedule. Given the deterministic nature of this algorithm, the same schedule is obtained each time that the algorithm is applied to the same problem instance. The performance of MAPA is benchmarked against published results for almost 250,000 instances from the NSPLib dataset. In most cases, particularly on large instances of the problem, the results produced by MAPA are better when compared to best-known solutions from the literature. The experiments reported here also show that the MAPA algorithm finds more feasible solutions compared with other algorithms in the literature, which suggest that this proposed approach is effective and robust. © 2013 Springer Science+Business Media New York.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)