2 resultados para teaching-learning in the engineering courses

em Repositório Científico da Universidade de Évora - Portugal


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Spirituality is considered a dimension of nursing care, which is often recognized as being neglected, mainly due to a lack of education. Several studies have addressed nursing students’ perceptions and skills for providing spiritual care, but there is little evidence on how spirituality is addressed in undergraduate nursing curricula. This study comprised Portuguese and Brazilian nursing schools (from São Paulo) and describes how spirituality is addressed in undergraduate nursing curricula. It is descriptive and the survey research was performed in 2014–2015. The questionnaire was composed of closed and open-ended questions and was sent by e-mail. A total of 129 answers were obtained, mostly from Portugal. Results indicated that several curricular units include spirituality, although having different contents. The learning outcomes are consistent with improving nursing students’ integral education, developing the clinical reasoning regarding spirituality, and improving the assessment of the patient across the life span. Nevertheless, it seems that spirituality is poorly addressed in clinical practice. Few nursing schools have courses or curricular units specifically dealing with spirituality, but they do provide some form of teaching on the subject. No standard curriculum exists, but teachers believe that it is a very important subject that should be included in the courses taught.

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The inclusion of General Chemistry (GC) in the curricula of higher education courses in science and technology aims, on the one hand, to develop students' skills necessary for further studies and, on the other hand, to respond to the need of endowing future professionals of knowledge to analyze and solve multidisciplinary problems in a sustainable way. The participation of students in the evaluation of the role played by the GC in their training is crucial, and the analysis of the results can be an essential tool to increase success in the education of students and improving practices in various professions. Undeniably, this work will be focused on the development of an intelligent system to assess the role of GC. The computational framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a problem solving methodology moored on Artificial Neural Networks. The results so far obtained show that the proposed model stands for a good start, being its overall accuracy higher than 95%.