Aprendizagem baseada na resolu����o de problemas: uma experi��ncia pedag��gica com alunos de um Curso de Especializa����o Tecnol��gica

Relat��rio de est��gio de mestrado em Ensino de Inform��tica

"Virar a Sala de Aula���: centrar a aprendizagem no aluno recorrendo a ferramentas cognitivas

Relat��rio de projeto de mestrado em Ensino de Inform��tica

Uma abordagem �� organiza����o e tratamento de dados baseada na resolu����o de problemas

Relat��rio de est��gio de mestrado em Ensino do 1.�� e 2.�� Ciclo do Ensino B��sico

A resolu����o de problemas como estrat��gia de promo����o da educa����o ambiental para a sustentabilidade: uma interven����o com alunos de 11�� ano centrada no t��pico da explora����o de recursos geol��gicos na disciplina de Biologia e Geologia

Relat��rio de est��gio de mestrado em Ensino de Biologia e de Geologia no 3�� Ciclo do Ensino B��sico e no Ensino Secund��rio

O sentido espacial das crian��as de 3 e 4 anos

Relat��rio de est��gio de mestrado em Educa����o Pr��-Escolar e Ensino do 1��Ciclo do Ensino B��sico

Pensar, testar, opinar e construir: a resolu����o de problemas no jardim de inf��ncia e primeiro ciclo

Relat��rio de est��gio de mestrado em Educa����o Pr��-Escolar e Ensino do 1.�� Ciclo do Ensino B��sico

The impact of PBL on transferable skills development in management education

Attention to transferable skills is growing in higher education. Problem-based learning (PBL) is increasingly used in management education for its promising potential to, amongst others, promote transferable skills, including problem-solving, critical thinking and teamwork skills. However, this relationship is seldom assessed. In this study, I use structural equation modelling to examine the effectiveness of PBL, measured through students��� perceptions of satisfaction and skills development. Results show the development of transferable skills is explained by interaction with tutors and a host company, and defining teamwork rules. Satisfaction is explained by skills development, assessment issues, defining teamwork rules and understanding how organisations work. I draw conclusions and recommendations.

Aulas interativas com recurso �� exposi����o: uma metodologia para o ensino da linguagem de programa����o Python

Relat��rio de est��gio de mestrado em Ensino de Inform��tica

Ensino, aprendizagem e avalia����o no Ensino Superior: Perspetivas e pr��ticas

Tese de Doutoramento em Ci��ncias da Educa����o - Especialidade de Desenvolvimento Curricular

Avalia����o de um processo de aconselhamento na constru����o de carreira: estudo de caso

Disserta����o de mestrado integrado em Psicologia

Intra and inter-individual differences in social intelligence of Portuguese students

Social intelligence is a favorable condition for career decision-making and development. The social intelligence indices of Portuguese students in school years prior to a career transition are characterized and intra and interindividual differences are analyzed. Participants were 1095 students (552, 50.4% women) with a mean age of 14.78 years (SD = 1.86), in the 8th (542, 49.5%), 10th (295, 26.9%) and 11th (258, 23.6%) grades. The Cognitive Test of Social Intelligence (PCIS) was administered at two moments, six months apart. Results indicate that the 8th grade obtained higher average scores in Problem Solving, Motivation and Self-confidence (time 1), while the 10th grade obtained better results in Problem Solving, Motivation and Familiarity (time 2). Between the assessment moments, all school years register an increase in Problem Solving and Self-confidence in social situations. These results constitute favorable psychological conditions for the promotion of ethical questioning in career guidance interventions.

A soft computing approach to kidney diseases evaluation

Kidney renal failure means that one���s kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient���s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapid deterioration of the renal function, but is often reversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis.The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow one to consider incomplete, unknown, and even contradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9���94.2 %, respectively.

An assessment of chronic kidney diseases

Kidney renal failure means that one���s kidney have unexpectedlystoppedfunctioning,i.e.,oncechronicdiseaseis exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient���s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapiddeteriorationoftherenalfunction,butisoftenreversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis. The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow onetoconsiderincomplete,unknown,and evencontradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9���94.2 %, respectively.

An evaluation of parchments' degradation a hybrid approach

Parchment stands for a multifaceted material made from animal skin, which has been used for centuries as a writing support or as bookbinding. Due to the historic value of objects made of parchment, understanding their degradation and their condition is of utmost importance to archives, libraries and museums, i.e., the assessment of parchment degradation is mandatory, although it is hard to do with traditional methodologies and tools for problem solving. Hence, in this work we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate Parchment Degradation and the respective Degree-of-Confidence that one has on such a happening.

Intervention program on adolescent���s creativity representations and academic motivation

Creativity and its promotion are widespread concerns in education. However, few efforts have been made to implement intervention programs designed to promote creativity and other related aspects (e.g., academic motivation). The Future Problem Solving Program International (FPSPI), aimed for training creativity representations and creative problem solving skills in young people, has been one of the most implemented programs. This intervention���s materials and activities were adapted for Portuguese students, and a longitudinal study was conducted. The program was implemented during four months, in weekly sessions, by thirteen teachers. Teachers received previous training for the program and during the program���s implementation. Intervention participants included 77 Basic and Secondary Education students, and control participants included 78 equivalent students. Pretest-posttest measures of academic motivation and creativity representations were collected. Results suggest a significant increase, in the intervention group, in motivation and the appropriate representations of creativity. Practical implications and future research perspectives are presented.