A reumatologia em um curso de medicina com aprendizagem baseada em problemas

OBJETIVO: Apresentar a experiência de uma instituição brasileira no ensino da Reumatologia na graduação médica, cujo projeto pedagógico é estruturado em metodologias ativas de aprendizado. MÉTODOS: Realizou-se um estudo descritivo, com abordagem qualitativa dos conteúdos referentes à Reumatologia no curso de Medicina do Centro Universitário do Estado do Pará (Cesupa). RESULTADOS: O sistema musculoesquelético é abordado no segundo e sétimo semestres, nos módulos referentes ao sistema locomotor e Clínica Médica II, respectivamente, sendo que cada etapa e cada atividade apresentam objetivos específicos mínimos. Além do conteúdo teórico, no sétimo semestre, os alunos realizam atendimentos no ambulatório de Reumatologia, quando existe maior ênfase na elaboração correta de anamnese e exame físico. No internato, os alunos retornam ao ambulatório de Reumatologia e, neste momento, as habilidades de diagnóstico, de investigação e de terapêutica são as mais exigidas. CONCLUSÃO: Ainda há muito para evoluir em busca de um modelo ideal para o ensino da Reumatologia, porém, cumprindo as principais recomendações disponíveis para a boa prática do ensino na graduação, podemos proporcionar ao futuro médico conhecimento, habilidade e experiências capazes de ajudá-lo na condução desses pacientes.

Confidence in Communication: Can My Whole Class Achieve This?

In this action research study of my classroom of Algebra 2 students, I investigated the confidence levels and communication skills of these students. I discovered that students who have higher confidence levels are comfortable in their classroom situations. The students with increased levels of confidence also have more open communication with those they respect. As a result of this research, I plan to continue with the implementation of communication skills. I will also look to next school year as a place to start executing a plan to be more available and involved in the active learning process of my students.

What do medical students think about their quality of life? A qualitative study

Background: Medical education can affect medical students' physical and mental health as well as their quality of life. The aim of this study was to assess medical students' perceptions of their quality of life and its relationship with medical education. Methods: First-to sixth-year students from six Brazilian medical schools were interviewed using focus groups to explore what medical student's lives are like, factors related to increases and decreases of their quality of life during medical school, and how they deal with the difficulties in their training. Results: Students reported a variety of difficulties and crises during medical school. Factors that were reported to decrease their quality of life included competition, unprepared teachers, excessive activities, and medical school schedules that demanded exclusive dedication. Contact with pain, death and suffering and harsh social realities influence their quality of life, as well as frustrations with the program and insecurity regarding their professional future. The scarcity of time for studying, leisure activities, relationships, and rest was considered the main factor of influence. Among factors that increase quality of life are good teachers, classes with good didactic approaches, active learning methodologies, contact with patients, and efficient time management. Students also reported that meaningful relationships with family members, friends, or teachers increase their quality of life. Conclusion: Quality of teachers, curricula, healthy lifestyles related to eating habits, sleep, and physical activity modify medical students' quality of life. Lack of time due to medical school obligations was a major impact factor. Students affirm their quality of life is influenced by their medical school experiences, but they also reframe their difficulties, herein represented by their poor quality of life, understood as necessary and inherent to the process of becoming doctors.

Hands-on experiments in the Practicum: repositioning student teachers' autonomy.

Following a worldwide trend, the Initial Teacher Education (ITE) Programmes in Brazil are recently searching for ways of integrating practice into curriculum. It raises question about what practice must be integrated and how. Notably, university-based courses are disconnected from school and have low commitment with school issues (Zeichner, 2009).The student teacher induction into school daily life is not an easy task, mainly when the practitioners are transforming physics classroom practice toward an active learning. Drawing on cultural-historical framework (Wolff-Michael Roth & Lee, 2007; Vygotsky, 1978) this study addresses the articulation between Practicum in Physics Classes and the Hands-on Experiments (HoE) used throughout the Practicum. Although in a different level, both Practicum and HoE are linked with an idea of practice. Particularly, this study focuses on how HoE might foster student teachers' autonomy and agency in the Practicum. Data was gathered in the course Practice of Physics Teaching at University of São Paulo/Brazil in 2010; in a cohort of 60 student teachers doing a year-long Practicum in urban school in São Paulo city. Data was analysed using qualitative research methods (Roth, 2005), based on 14 interviews and video records of the student teacher preparing the HoE for Practicum we will present in general lines the role of HoE for student teacher autonomy.

Assessment of a high school geological field course

Fieldwork is supportive of students’ natural inquiry abilities. Educational research findings suggest that instructors can foster the growth of thinking skills and promote science literacy by incorporating active learning strategies (McConnel et al, 2003). Huntoon (2001) states that there is a need to determine optimal learning strategies and to document the procedure of assessing those optimal geoscience curricula. This study seeks to determine if Earth Space II, a high school geological field course, can increase students’ knowledge of selected educational objectives. This research also seeks to measure any impact Earth Space II has on students’ attitude towards science. Assessment of the Earth Space II course objectives provided data on the impact of field courses on high school students’ scientific literacy, scientific inquiry skills, and understanding of selected course objectives. Knowledge assessment was done using a multiple choice format test, the Geoscience Concept Inventory, and an open-ended format essay test. Attitude assessment occurred by utilizing a preexisting science attitude survey. Both knowledge assessments items showed a positive effect size from the pretest to the posttest. The essay exam effect size was 17 and the Geoscience Concept Inventory effect size was 0.18. A positive impact on students’ attitude toward science was observed by an increase in the overall mean Likert value from the pre-survey to the post-survey.

Transfer of spatial knowledge from a virtual environment to reality: Impact of route complexity and subject’s strategy on the exploration mode

The use of virtual reality as tool in the area of spatial cognition raises the question of the quality of learning transfer from a virtual to a real environment. It is first necessary to determine with healthy subjects, the cognitive aids that improve the quality of transfer and the conditions required, especially since virtual reality can be used as effective tool in cognitive rehabilitation. The purpose of this study was to investigate the influence of the exploration mode of virtual environment (Passive vs. Active) according to Route complexity (Simple vs. Complex) on the quality of spatial knowledge transfer in three spatial tasks. Ninety subjects (45 men and 45 women) participated. Spatial learning was evaluated by Wayfinding, sketch-mapping and picture classification tasks in the context of the Bordeaux district. In the Wayfinding task, results indicated that active learning in a Virtual Environment (VE) increased the performances compared to the passive learning condition, irrespective of the route complexity factor. In the Sketch-mapping task, active learning in a VE helped the subjects to transfer their spatial knowledge from the VE to reality, but only when the route was complex. In the Picture classification task, active learning in a VE when the route was complex did not help the subjects to transfer their spatial knowledge. These results are explained in terms of knowledge levels and frame/strategy of reference [SW75, PL81, TH82].

Increasing Quality in large scale University Courses

Quality of education should be stable or permanently increased – even if the number of students rises. Quality of education is often related to possibilities for active learning and individual facilitation. This paper deals with the question how high-quality learning within oversized courses could be enabled and it presents the approach of e-flashcards that enables active learning and individual facilitation within large scale university courses.

Evaluating Learner Perceptions of Use of Simulations for New nurses – A Collaboration Between the UT SON and the Methodist Hospital

The purpose of this evaluation project was to describe the integration of simulation into a nursing internship program and to help prepare new graduate nurses for patient care. Additionally, learning styles and perceptions of active learning, collaboration among peers, ways of learning, expectation of simulation, satisfaction, self-confidence, and design of simulation were examined. [See PDF for complete abstract]

Internet-based exercises and mini-exams for production and operations management

The purpose of the internet-based teachware mySCM is that students of economics, informatics and industrial engineering get familiar with quantitative methods for supply chain management. Input-output-relationships of various optimization methods can be detected by sampling input values, parameters, and alternative methods for the same problem. Students can gain extra benefits by passing so-called mini-exams that motivate active learning. mySCM can be used for free, round-the-clock, and any place where access to the Internet is available.

Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data

Smart homes for the aging population have recently started attracting the attention of the research community. The "health state" of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activities of daily living (ADL) of the elderly, aiming at their protection and well-being. For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL. In a novel approach, we describe a technology that allows the ground truth collected in one smart home to train activity recognition systems for other smart homes. We asked the users to label all instances of all ADL only once and subsequently applied data mining techniques to cluster in-home sensor firings. Each cluster would therefore represent the instances of the same activity. Once the clusters were associated to their corresponding activities, our system was able to recognize future activities. To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities. To evaluate the recognition performance from a 200-day dataset, we implemented three different active learning classification algorithms and compared their performance: naive Bayesian (NB), support vector machine (SVM) and random forest (RF). Based on our results, the RF classifier recognized activities with an average specificity of 96.53%, a sensitivity of 68.49%, a precision of 74.41% and an F-measure of 71.33%, outperforming both the NB and SVM classifiers. Further clustering markedly improved the results of the RF classifier. An activity recognition system based on PIR sensors in conjunction with a clustering classification approach was able to detect ADL from datasets collected from different homes. Thus, our PIR-based smart home technology could improve care and provide valuable information to better understand the functioning of our societies, as well as to inform both individual and collective action in a smart city scenario.

Knowledgeable Feedback via a Cast of Virtual Characters with Different Competences

DynaLearn (http://www.DynaLearn.eu) develops a cognitive artefact that engages learners in an active learning by modelling process to develop conceptual system knowledge. Learners create external representations using diagrams. The diagrams capture conceptual knowledge using the Garp3 Qualitative Reasoning (QR) formalism [2]. The expressions can be simulated, confronting learners with the logical consequences thereof. To further aid learners, DynaLearn employs a sequence of knowledge representations (Learning Spaces, LS), with increasing complexity in terms of the modelling ingredients a learner can use [1]. An online repository contains QR models created by experts/teachers and learners. The server runs semantic services [4] to generate feedback at the request of learners via the workbench. The feedback is communicated to the learner via a set of virtual characters, each having its own competence [3]. A specific feedback thus incorporates three aspects: content, character appearance, and a didactic setting (e.g. Quiz mode). In the interactive event we will demonstrate the latest achievements of the DynaLearn project. First, the 6 learning spaces for learners to work with. Second, the generation of feedback relevant to the individual needs of a learner using Semantic Web technology. Third, the verbalization of the feedback via different animated virtual characters, notably: Basic help, Critic, Recommender, Quizmaster & Teachable agen

Teamwork competence and academic motivation in computer science engineering studies.

The present work is focused on studying two issues: the “teamwork” generic competence and the “academic motivation”. Currently the professional profile of engineers has a strong component of teamwork. On the other hand, motivational profile of students determines their tendencies when they come to work in team, as well as their performance at work. In this context we suggest four hypotheses: (H1) students improve their teamwork capacity by specific training and carrying out a set of activities integrated into an active learning process; (H2) students with higher mastery motivation have better attitude towards team working; (H3) students with higher mastery motivation obtain better results in academic performance; and (H4) students show different motivation profiles in different circumstances: type of courses, teaching methodologies, different times of the learning process. This study was carried out with computer science engineering students from two Spanish universities. The first results point to an improvement in teamwork competence of students if they have previously received specific training in facets of that competence. Other results indicate that there is a correlation between the motivational profiles of students and their perception about teamwork competence. Finally, and contrary to the initial hypothesis, these profiles appear to not influence significantly the academic performance of students.

Teamwork, motivational profiles and academic performance in computer science engineering

The present work is aimed at discussing several issues related to the teamwork generic competence, motivational profiles and academic performance. In particular, we study the improvement of teamwork attitude, the predominant types of motivation in different contexts and some correlations among these three components of the learning process. The above-mentioned aspects are of great importance. Currently, the professional profile of engineers has a strong teamwork component and the motivational profile of students determines both their tendencies when they come to work as part of a team, as well as their performance at work. Taking these issues into consideration, we suggest four hypotheses: (H1) students improve their teamwork capacity through specific training and carrying out of a set of activities integrated into an active learning process; (H2) students with higher mastery motivation have a better attitude towards teamwork; (H3) students with different types of motivations reach different levels of academic performance; and (H4) students show different motivation profiles in different circumstances: type of courses, teaching methodologies, different times of the learning process. This study was carried out with Computer Science Engineering students from two Spanish universities. The first results point to an improvement in teamwork competence of students if they have previously received specific training in facets of that competence. Other results indicate that there is a correlation between the motivational profiles of students and their perception of teamwork competence. Finally, results point to a clear relationship between some kind of motivation and academic performance. In particular, four kinds of motivation are analyzed and students are classified into two groups according to them. After analyzing several marks obtained in compulsory courses, we perceive that those students that show higher motivation for avoiding failure obtain, in general, worse academic performance.

Desarrollo de aprendizajes activos en primeros cursos universitarios: Workshop cónica.

Como ya es conocido, los profesores de Matemáticas utilizamos los ejemplos como recursos de aprendizaje para enseñar algún contenido matemático concreto, de modo que las generalizaciones y abstracciones sean más fácilmente entendidas por los alumnos, pasando de lo concreto a lo abstracto, como otra forma de enseñar y practicar en Matemáticas. Esta metodología de trabajo se ve potenciada por el uso de dispositivos móviles llamados mobile-learning (m-learning) o educación móvil (educación-m), en español. Siguiendo esta línea de trabajo, se ha realizado el workshop de cónicas que se presenta en este artículo, empleando estas nuevas tecnologías (TIC) y con el objetivo de desarrollar aprendizajes activos en Geometría a través de la resolución de problemas en los primeros cursos de Grado en las ingenierías. ABSTRACT: As it is already known, math teachers, use examples as learning resources, to teach some specific math contents, so that generalizations and abstractions are more easily understood by students, from concrete to abstract, as another way of Mathematics teaching and training. This methodology is enhanced by the use of mobile devices, called mobile-learning (m-learning) o “educación móvil” (educación-m), in Spanish. Following this strategy, the workshop of conic sections shown in this paper has been carried out, using these new technologies (ICT) and in order to develop active learning in Geometry through problem-solving at the first years of engineering degrees.

Estudios y herramientas para la evaluación y la mejora de la motivación en la ingeniería del software

Comprender y estimular la motivación resulta crucial para favorecer el rendimiento de los estudiantes universitarios y profesionales de diversos ámbitos de conocimiento, como el de la Ingeniería del Software. Actualmente, este sector está demandando soluciones científico-tecnológicas para trabajar de una manera práctica y sistemática sobre elementos motivacionales como la satisfacción por el estudio y el trabajo, el aprendizaje activo o las relaciones interpersonales. El objetivo de esta Tesis Doctoral es definir y validar soluciones para evaluar y mejorar la motivación de los estudiantes y profesionales en Ingeniería del Software. Para ello, se han creado instrumentos, metodologías y tecnologías que se han aplicado con un total de 152 estudiantes y 166 profesionales. Esta experiencia empírica ha servido para mejorar de manera continua dichas aportaciones, así como para comprobar en un entorno real su validez y utilidad. Los datos recogidos revelan que las soluciones provistas han resultado eficaces para comprender y estimular la motivación tanto en el ámbito académico como en el profesional. Además, a raíz de los datos recogidos se han podido explorar aspectos de interés sobre las características y particularidades motivacionales asociadas a la Ingeniería del Software. Por tanto, esta Tesis Doctoral resulta de interés para las universidades y empresas de este sector sensibilizadas con el desarrollo motivacional de sus estudiantes y trabajadores. Abstract It is crucial to understand and encourage the motivation of students and professionals in order to enhance their performance. This applies to students and professionals from diverse fields such as Software Engineering. Currently this sector is demanding scientific–technological solutions to work on motivational elements in a pragmatic and systematic way. Such elements are among others study and work satisfaction, active learning or interpersonal relationships. This Doctoral Thesis objective is to establish and validate solutions to evaluate and improve the motivation in the Software Engineering field. To achieve this goal, resources, methods and technologies have been created. They have been applied to 152 students and 166 professionals. This empirical experience served to, on one hand, enhance in a continuous way the provided contributions, and on the other hand, to test in a real environment their validity and utility. The collected data reveal that the provided solutions were effective to understand and encourage motivation both in the academic and in the professional area. In addition, the collected data enable to examine interesting aspects and motivational special features associated with Software Engineering. Therefore this Doctoral Thesis is relevant to universities and firms from this field which are aware of the significance of the motivational development of their students and employees.