A formação de professores e os desafios do ensino/aprendizagem em períodos de mudanças sociais

The objective of this paper is to present the relationship between higher education with other levels of education. In Brazil, some challenges were launched to fulfill improvement in teaching / learning covering a scientific development with the involvement of several bodies, among them the science and society. Therefore, according to the National Postgraduate-PNPG, the close relationship between science and society requires a scientific-cultural training that should start in higher education, teacher training, and that this knowledge can follow the company, traversing all levels of education prior to higher education. Thus, we analyze the formation of teachers as one of the pillars of our discussion, trying to understand that at different times, men have paid attention to the re/organization of society, to masters/teachers have the knowledge that enabled individuals to convey an apprenticeship favoring the theoretical reflection on practice. So, we have considered some classics, as Bonaventure of Bagnoregio, that dealt on the training of teachers (as) in different periods, expressing concern about the quality of teaching and documents dealing with the situation of education in Brazil

O lúdico no desenvolvimento infantil: um estudo teórico

It is a fact that childhood is a period of play and it is through them that the child meets their interests, express their way to organize, disorganize, build, think, making new discoveries. Therefore, the playful stands as one of the most important and effective in children's learning process forms, as it enables the development of imagination, feelings and fantasies, helping the child progress in their motor, psychomotor, cognitive, and physical skills emotional. This gives her the exercise of attention and memory to play activities adults engage, thus expanding their knowledge about the world. The teacher's role in this process is essential, where it can bring to everyday life of the child in various situations themes, turning the simple play on continuous learning and not just using the play as a complementary activity to the child because they provide pleasure and relaxation which do interact with the new learning and the group operates. The psychology emphasizes that play is essential to the balanced development of the psychosocial human being, because when in childhood, the relationship with the toy and gaming in general develops affectivity, creativity, and reasoning ability. Playing, the child increases their independence by building their knowledge. The aim of this work is to make a theoretical study based on a literature search, aiming to understand the play within the child development process, where it is recognized as very important in a child's learning starting from the theoretical conceptions of thinkers such as Piaget, Vygotsky, Wallon among others. With this, it can also be possible to recover the importance of the play that is being extracted from the infant universe due to new reasons to experience the modern world brings, as the excess number of activities assigned to the child, electronic games, etc. Finally, a playful approach to provide a reflection for parents and educators, bringing children's learning...

Um modelo cognitivo baseado na atenção para consciência em robôs inteligentes

Understanding consciousness is one of the most fascinating challenges of our time. From ancient civilizations to modern philosophers, questions have been asked on how one is conscious of his/her own existence and about the world that surrounds him/her. Although there is no precise definition for consciousness, there is an agreement that it is strongly related to human cognitive processes such as: thinking, reasoning, emotions, wishes. One of the key processes to the arising of the consciousness is the attention, a process capable of promoting a selection of a few stimuli from a huge amount of information that reaches us constantly. Machine consciousness is the field of the artificial intelligence that investigate the possibility of the production of conscious processes in artificial devices. This work presents a review about the theme of consciousness - in both natural and artificial aspects -, discussing this theme from the philosophical and computational perspectives, and investigates the feasibility of the adoption of an attentional schema as the base to the cognitive processing. A formal computational model is proposed for conscious agents that integrates: short and long term memories, reasoning, planning, emotion, decision making, learning, motivation and volition. Computer experiments in a mobile robotics domain under USARSim simulation environment, proposed by RoboCup, suggest that the agent can be able to use these elements to acquire experiences based on environment stimuli. The adoption of the cognitive architecture over the attentional model has potential to allow the emergence of behaviours usually associated to the consciousness in the simulated mobile robots. Further implementation under this model could potentially allow the agent to express sentience, selfawareness, self-consciousness, autonoetic consciousness, mineness and perspectivalness. By performing computation over an attentional space, the model also allows the ...

Percepção de acadêmicos de odontologia sobre o envelhecimento

The changes on learning space where Dentistry Students stay in front of social reality, by university extension, represent a strategy to form dentists according to Brazilian Curricular Directresses. In Araçatuba Dental School (FOA-UNESP), one of alternatives to add students on real locals of dentistry practices is the “Always Smiling Project – Dental Attention for institutionalized elderly in Araçatuba City, São Paulo State – Brazil”. The aim of this study was to verify the self-perception of dentistry students about aging before and after participation in this Project during one school year. To data collection, an instrument with 3 opened questions was performed and applied on 45 students, in the beginning of activities in 2009 and after 8 months. The answers were analyzed by content categorization. The results showed that the perception of students about old people was negative relating them with frail person that needs help and the students’ expectations were higher about clinical aspects of attention. In the end of school year was clear the difference of students’ comprehension about aging and their thoughts demonstrated the empathy resulting from relation. Besides, students related knowledge gain and noted that health attention involve others aspects that are over than biological space. It was possible to conclude that insertion of students in “Always Smiling” contributed to reflection and learn about aging process and suggest that practices like these should be added in Brazilian Universities.

A matemática financeira e a estatística como ferramentas para uma gestão financeira consciente

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Building Leadership: The Knowledge of Principals in Creating Collaborative Communities of Professional Learning

Research literature is replete with the importance of collaboration in schools, the lack of its implementation, the centrality of the role of the principal, and the existence of a gap between knowledge and practice--or a "Knowing-Doing Gap." In other words, there is a set of knowledge that principals must know in order to create a collaborative workplace environment for teachers. This study sought to describe what high school principals know about creating such a culture of collaboration. The researcher combed journal articles, studies and professional literature in order to identify what principals must know in order to create a culture of collaboration. The result was ten elements of principal knowledge: Staff involvement in important decisions, Charismatic leadership not being necessary for success, Effective elements of teacher teams, Administrator‘s modeling professional learning, The allocation of resources, Staff meetings focused on student learning, Elements of continuous improvement, and Principles of Adult Learning, Student Learning and Change. From these ten elements, the researcher developed a web-based survey intended to measure nine of those elements (Charismatic leadership was excluded). Principals of accredited high schools in the state of Nebraska were invited to participate in this survey, as high schools are well-known for the isolation that teachers experience--particularly as a result of departmentalization. The results indicate that principals have knowledge of eight of the nine measured elements. The one that they lacked an understanding of was Principles of Student Learning. Given these two findings of what principals do and do not know, the researcher recommends that professional organizations, intermediate service agencies and district-level support staff engage in systematic and systemic initiatives to increase the knowledge of principals in the element of lacking knowledge. Further, given that eight of the nine elements are understood by principals, it would be wise to examine reasons for the implementation gap (Knowing-Doing Gap) and how to overcome it.

Traces, Patterns, Texture: In Search of Aesthetic Teaching/Learning Encounters

This inquiry reveals the crucial guidance of teachers toward surveying the capacity and needs of students, the formation of ideas, acting upon ideas, fostering connections, seeing potential, making judgments, and arranging conditions. Each aesthetic trace causes me to wonder how teachers learn to create experiences that foster student participation in the world aesthetically. The following considerations surface: • Given the emphasis in schools on outcomes and results, how do we encourage teachers to focus on acts of mind instead of end products in their work with students? • Given the orientations toward technical rationality, to fixed sequence, how do we help teachers experience fluid, purposeful learning adventures with students in which the imagi¬nation is given room to play? • Given the tendency to conceive of planning in teaching as the deciding of everything in advance, how do we help teachers and students become attuned to making good judgments derived from within learning experiences? • How do we help teachers build dialogical multivoiced conversations instead of monolithic curriculum? • What do we do to recover the pleasure dwelling in subject matter? How do we get teachers and students to engage thoughtfully in meaningful learning as opposed to covering curriculum7 • A capacity to attend sensitively, to perceive the complexity of relationships coming together in any teaching/learning experience seems critical. How do we help teachers and students attend to the unity of a learning experience and the play of meanings that arises from such undergoing and doing? The traces, patterns, and texture evidenced locate tremendous hope and wondrous possibilities alive within aesthetic teaching/learning encounters. It is such aliveness I encountered in the grade 4 art classroom that opened this account and continues to compel my attention. Possibilities for teaching, learning, and teacher education emerge. I am convinced they are most worthy of continued pursuit.

Collaboration as a Foundation for the Project Approach in Family Child Care

Supporting children's curiosity was considered important at my family child care home. How could we best achieve this? As my assistant caregiver Deb and 1 attended professional development workshops, we began to wonder if the project approach (Helm & Katz 2001) would be an effective means of supporting inquiry and collaborative learning. Before we would commit ourselves, we wanted to learn more. We had many questions. Just what is the project approach? What does it look like? How will it support children's learning? What do we need to be successful with it? The literature suggested many examples of successful projects at child care centers and preschools (Breig-Allen et al. 1998; Harkem: 1999; Beneke 2000; Glassman & Whaley 2000). Our challenge was how to adapt the project approach to our home child care situations.

Semi-supervised learning guided by the modularity measure in complex networks

Semi-supervised learning techniques have gained increasing attention in the machine learning community, as a result of two main factors: (1) the available data is exponentially increasing; (2) the task of data labeling is cumbersome and expensive, involving human experts in the process. In this paper, we propose a network-based semi-supervised learning method inspired by the modularity greedy algorithm, which was originally applied for unsupervised learning. Changes have been made in the process of modularity maximization in a way to adapt the model to propagate labels throughout the network. Furthermore, a network reduction technique is introduced, as well as an extensive analysis of its impact on the network. Computer simulations are performed for artificial and real-world databases, providing a numerical quantitative basis for the performance of the proposed method.

Motor learning, retention and transfer after virtual-reality-based training in Parkinson's disease - effect of motor and cognitive demands of games: a longitudinal, controlled clinical study

Objectives To evaluate the learning, retention and transfer of performance improvements after Nintendo Wii Fit (TM) training in patients with Parkinson's disease and healthy elderly people. Design Longitudinal, controlled clinical study. Participants Sixteen patients with early-stage Parkinson's disease and 11 healthy elderly people. Interventions Warm-up exercises and Wii Fit training that involved training motor (shifts centre of gravity and step alternation) and cognitive skills. A follow-up evaluative Wii Fit session was held 60 days after the end of training. Participants performed a functional reach test before and after training as a measure of learning transfer. Main outcome measures Learning and retention were determined based on the scores of 10 Wii Fit games over eight sessions. Transfer of learning was assessed after training using the functional reach test. Results Patients with Parkinson's disease showed no deficit in learning or retention on seven of the 10 games, despite showing poorer performance on five games compared with the healthy elderly group. Patients with Parkinson's disease showed marked learning deficits on three other games, independent of poorer initial performance. This deficit appears to be associated with cognitive demands of the games which require decision-making, response inhibition, divided attention and working memory. Finally, patients with Parkinson's disease were able to transfer motor ability trained on the games to a similar untrained task. Conclusions The ability of patients with Parkinson's disease to learn, retain and transfer performance improvements after training on the Nintendo Wii Fit depends largely on the demands, particularly cognitive demands, of the games involved, reiterating the importance of game selection for rehabilitation purposes. (C) 2012 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.

Bias and learning in temporal binding: intervals between actions and outcomes are compressed by prior bias

It has consistently been shown that agents judge the intervals between their actions and outcomes as compressed in time, an effect named intentional binding. In the present work, we investigated whether this effect is result of prior bias volunteers have about the timing of the consequences of their actions, or if it is due to learning that occurs during the experimental session. Volunteers made temporal estimates of the interval between their action and target onset (Action conditions), or between two events (No-Action conditions). Our results show that temporal estimates become shorter throughout each experimental block in both conditions. Moreover, we found that observers judged intervals between action and outcomes as shorter even in very early trials of each block. To quantify the decrease of temporal judgments in experimental blocks, exponential functions were fitted to participants’ temporal judgments. The fitted parameters suggest that observers had different prior biases as to intervals between events in which action was involved. These findings suggest that prior bias might play a more important role in this effect than calibration-type learning processes.

Body ares networks for human motor assessment

Healthcare, Human Computer Interfaces (HCI), Security and Biometry are the most promising application scenario directly involved in the Body Area Networks (BANs) evolution. Both wearable devices and sensors directly integrated in garments envision a word in which each of us is supervised by an invisible assistant monitoring our health and daily-life activities. New opportunities are enabled because improvements in sensors miniaturization and transmission efficiency of the wireless protocols, that achieved the integration of high computational power aboard independent, energy-autonomous, small form factor devices. Application’s purposes are various: (I) data collection to achieve off-line knowledge discovery; (II) user notification of his/her activities or in case a danger occurs; (III) biofeedback rehabilitation; (IV) remote alarm activation in case the subject need assistance; (V) introduction of a more natural interaction with the surrounding computerized environment; (VI) users identification by physiological or behavioral characteristics. Telemedicine and mHealth [1] are two of the leading concepts directly related to healthcare. The capability to borne unobtrusiveness objects supports users’ autonomy. A new sense of freedom is shown to the user, not only supported by a psychological help but a real safety improvement. Furthermore, medical community aims the introduction of new devices to innovate patient treatments. In particular, the extension of the ambulatory analysis in the real life scenario by proving continuous acquisition. The wide diffusion of emerging wellness portable equipment extended the usability of wearable devices also for fitness and training by monitoring user performance on the working task. The learning of the right execution techniques related to work, sport, music can be supported by an electronic trainer furnishing the adequate aid. HCIs made real the concept of Ubiquitous, Pervasive Computing and Calm Technology introduced in the 1988 by Marc Weiser and John Seeley Brown. They promotes the creation of pervasive environments, enhancing the human experience. Context aware, adaptive and proactive environments serve and help people by becoming sensitive and reactive to their presence, since electronics is ubiquitous and deployed everywhere. In this thesis we pay attention to the integration of all the aspects involved in a BAN development. Starting from the choice of sensors we design the node, configure the radio network, implement real-time data analysis and provide a feedback to the user. We present algorithms to be implemented in wearable assistant for posture and gait analysis and to provide assistance on different walking conditions, preventing falls. Our aim, expressed by the idea to contribute at the development of a non proprietary solutions, driven us to integrate commercial and standard solutions in our devices. We use sensors available on the market and avoided to design specialized sensors in ASIC technologies. We employ standard radio protocol and open source projects when it was achieved. The specific contributions of the PhD research activities are presented and discussed in the following. • We have designed and build several wireless sensor node providing both sensing and actuator capability making the focus on the flexibility, small form factor and low power consumption. The key idea was to develop a simple and general purpose architecture for rapid analysis, prototyping and deployment of BAN solutions. Two different sensing units are integrated: kinematic (3D accelerometer and 3D gyroscopes) and kinetic (foot-floor contact pressure forces). Two kind of feedbacks were implemented: audio and vibrotactile. • Since the system built is a suitable platform for testing and measuring the features and the constraints of a sensor network (radio communication, network protocols, power consumption and autonomy), we made a comparison between Bluetooth and ZigBee performance in terms of throughput and energy efficiency. Test in the field evaluate the usability in the fall detection scenario. • To prove the flexibility of the architecture designed, we have implemented a wearable system for human posture rehabilitation. The application was developed in conjunction with biomedical engineers who provided the audio-algorithms to furnish a biofeedback to the user about his/her stability. • We explored off-line gait analysis of collected data, developing an algorithm to detect foot inclination in the sagittal plane, during walk. • In collaboration with the Wearable Lab – ETH, Zurich, we developed an algorithm to monitor the user during several walking condition where the user carry a load. The remainder of the thesis is organized as follows. Chapter I gives an overview about Body Area Networks (BANs), illustrating the relevant features of this technology and the key challenges still open. It concludes with a short list of the real solutions and prototypes proposed by academic research and manufacturers. The domain of the posture and gait analysis, the methodologies, and the technologies used to provide real-time feedback on detected events, are illustrated in Chapter II. The Chapter III and IV, respectively, shown BANs developed with the purpose to detect fall and monitor the gait taking advantage by two inertial measurement unit and baropodometric insoles. Chapter V reports an audio-biofeedback system to improve balance on the information provided by the use centre of mass. A walking assistant based on the KNN classifier to detect walking alteration on load carriage, is described in Chapter VI.

Linguistica Cognitiva e analisi retorica: indicazioni per un percorso sulla metafora nella didattica della lingua.

La tesi sviluppa le proposte teoriche della Linguistica Cognitiva a proposito della metafora e propone una loro possibile applicazione in ambito didattico. La linguistica cognitiva costituisce la cornice interpretativa della ricerca, a partire dai suoi concetti principali: la prospettiva integrata, l’embodiment, la centralità della semantica, l’attenzione per la psicolinguistica e le neuroscienze. All’interno di questo panorama, prende vigore un’idea di metafora come punto d’incontro tra lingua e pensiero, come criterio organizzatore delle conoscenze, strumento conoscitivo fondamentale nei processi di apprendimento. A livello didattico, la metafora si rivela imprescindibile sia come strumento operativo che come oggetto di riflessione. L’approccio cognitivista può fornire utili indicazioni su come impostare un percorso didattico sulla metafora. Nel presente lavoro, si indaga in particolare l’uso didattico di stimoli non verbali nel rafforzamento delle competenze metaforiche di studenti di scuola media. Si è scelto come materiale di partenza la pubblicità, per due motivi: il diffuso impiego di strategie retoriche in ambito pubblicitario e la specificità comunicativa del genere, che permette una chiara disambiguazione di fenomeni che, in altri contesti, non potrebbero essere analizzati con la stessa univocità. Si presenta dunque un laboratorio finalizzato al miglioramento della competenza metaforica degli studenti che si avvale di due strategie complementari: da una parte, una spiegazione ispirata ai modelli cognitivisti, sia nella terminologia impiegata che nella modalità di analisi (di tipo usage-based); dall’altra un training con metafore visive in pubblicità, che comprende una fase di analisi e una fase di produzione. È stato usato un test, suddiviso in compiti specifici, per oggettivare il più possibile i progressi degli studenti alla fine del training, ma anche per rilevare le difficoltà e i punti di forza nell’analisi rispetto sia ai contesti d’uso (letterario e convenzionale) sia alle forme linguistiche assunte dalla metafora (nominale, verbale, aggettivale).

L'Insegnamento della Lingua Portoghese nelle Università Italiane

Il presente lavoro si prefigge di descrivere e analizzare la realtà dell’insegnamento della lingua portoghese nelle università italiane, con particolare attenzione alla presentazione della varietà brasiliana, nel quadro dell’educazione linguistico-culturale in senso lato. Per poter cogliere l’insieme interrelato di fattori che compongono il processo di insegnamento/apprendimento in questa specifica situazione, la ricerca si sviluppa in tre ambiti: i) riflessione sulle varietà della lingua portoghese, basata sugli studi attuali in ambito linguistico e sociolinguistico relativi all’area lusofona, mettendo a fuoco il portoghese brasiliano; ii) ricognizione dell’attuale stato dell’insegnamento del portoghese all’interno degli atenei italiani, attuata tramite una ricerca quantitativa basata su un questionario online; iii) indagine qualitativa sulle pratiche didattiche, in presenza e online, basate rispettivamente sull’analisi dei materiali didattici in uso negli atenei e sull’analisi culturale e linguistica delle interazioni fra studenti in teletandem. L’analisi dei dati ha permesso di tracciare un quadro rappresentativo dell’insegnamento del portoghese nel contesto accademico nonché di delineare percorsi formativi integrativi alle lezioni tradizionali, che mettano in evidenza lo stretto legame fra lingua e cultura, e quindi per meglio contestualizzare l’apprendimento della lingua e della cultura brasiliana in Italia.

Deep learning for computer vision: a comparison between convolutional neural networks and hierarchical temporal memories on object recognition tasks

In recent years, Deep Learning techniques have shown to perform well on a large variety of problems both in Computer Vision and Natural Language Processing, reaching and often surpassing the state of the art on many tasks. The rise of deep learning is also revolutionizing the entire field of Machine Learning and Pattern Recognition pushing forward the concepts of automatic feature extraction and unsupervised learning in general. However, despite the strong success both in science and business, deep learning has its own limitations. It is often questioned if such techniques are only some kind of brute-force statistical approaches and if they can only work in the context of High Performance Computing with tons of data. Another important question is whether they are really biologically inspired, as claimed in certain cases, and if they can scale well in terms of "intelligence". The dissertation is focused on trying to answer these key questions in the context of Computer Vision and, in particular, Object Recognition, a task that has been heavily revolutionized by recent advances in the field. Practically speaking, these answers are based on an exhaustive comparison between two, very different, deep learning techniques on the aforementioned task: Convolutional Neural Network (CNN) and Hierarchical Temporal memory (HTM). They stand for two different approaches and points of view within the big hat of deep learning and are the best choices to understand and point out strengths and weaknesses of each of them. CNN is considered one of the most classic and powerful supervised methods used today in machine learning and pattern recognition, especially in object recognition. CNNs are well received and accepted by the scientific community and are already deployed in large corporation like Google and Facebook for solving face recognition and image auto-tagging problems. HTM, on the other hand, is known as a new emerging paradigm and a new meanly-unsupervised method, that is more biologically inspired. It tries to gain more insights from the computational neuroscience community in order to incorporate concepts like time, context and attention during the learning process which are typical of the human brain. In the end, the thesis is supposed to prove that in certain cases, with a lower quantity of data, HTM can outperform CNN.