796 resultados para Learning to program


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Pós-graduação em Educação - FFC

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Nowadays is more than proven by several studies in the area that flexibility is one of the first physical abilities to be impaired with advancing age. Around 40 years old, there is an acceleration in the loss of flexibility that is heavily influenced by other factors as like standard level of physical activity and health, and this could eventually lead to a difficulty in performing activities of daily basis. Active Break was created with the intention to minimize the negative impacts from the sedentary life and health of workers and encourage healthier habits in employees through stretching exercises. A lot is said about the loss of flexibility with advancing age and various ways to minimize these losses. It is necessary for us as physical educators, using techniques learned through years of learning to prove the validity of a physical activity program in improving worker health. Therefore the aim of the study was to investigate the influence of the Active Break in different flexibility joints of the participants of physical activity program offered by the NAFES laboratory and compare whether there are differences in flexibility between workers who participate in classes with those who are not. The study included 15 workers of Institute of Geosciences and Exact Sciences (IGCE) UNESP - Rio Claro. Where were two weekly gymnastics sessions lasting 15 minutes each, Within this environment were divided two groups, one who carried out the activities and the other served as control group that participated only in the evaluations. Three assessments were conducted, one before the start of a study, another 2 months later and the last one at the end of the study. On these assessments were collected measures of the angles of joints using a Fleximeter and the greatest distance achieved by the sit and reach test. The results showed no significant difference...(Complete abstract click electronic access below)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Educação - FFC

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This work investigated the effects of frequency and precision of feedback on the learning of a dual-motor task. One hundred and twenty adults were randomly assigned to six groups of different knowledge of results (KR), frequency (100%, 66% or 33%) and precision (specific or general) levels. In the stabilization phase, participants performed the dual task (combination of linear positioning and manual force control) with the provision of KR. Ten non-KR adaptation trials were performed for the same task, but with the introduction of an electromagnetic opposite traction force. The analysis showed a significant main effect for frequency of KR. The participants who received KR in 66% of the stabilization trials showed superior adaptation performance than those who received 100% or 33%. This finding reinforces that there is an optimal level of information, neither too high nor too low, for motor learning to be effective.

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To determine magnitude and reasons of loss to program and poor antiretroviral prophylaxis coverage in prevention of mother-to-child transmission (PMTCT) programs in sub-Saharan Africa.

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Mobile learning, in the past defined as learning with mobile devices, now refers to any type of learning-on-the-go or learning that takes advantage of mobile technologies. This new definition shifted its focus from the mobility of technology to the mobility of the learner (O'Malley and Stanton 2002; Sharples, Arnedillo-Sanchez et al. 2009). Placing emphasis on the mobile learner’s perspective requires studying “how the mobility of learners augmented by personal and public technology can contribute to the process of gaining new knowledge, skills, and experience” (Sharples, Arnedillo-Sanchez et al. 2009). The demands of an increasingly knowledge based society and the advances in mobile phone technology are combining to spur the growth of mobile learning. Around the world, mobile learning is predicted to be the future of online learning, and is slowly entering the mainstream education. However, for mobile learning to attain its full potential, it is essential to develop more advanced technologies that are tailored to the needs of this new learning environment. A research field that allows putting the development of such technologies onto a solid basis is user experience design, which addresses how to improve usability and therefore user acceptance of a system. Although there is no consensus definition of user experience, simply stated it focuses on how a person feels about using a product, system or service. It is generally agreed that user experience adds subjective attributes and social aspects to a space that has previously concerned itself mainly with ease-of-use. In addition, it can include users’ perceptions of usability and system efficiency. Recent advances in mobile and ubiquitous computing technologies further underline the importance of human-computer interaction and user experience (feelings, motivations, and values) with a system. Today, there are plenty of reports on the limitations of mobile technologies for learning (e.g., small screen size, slow connection), but there is a lack of research on user experience with mobile technologies. This dissertation will fill in this gap by a new approach in building a user experience-based mobile learning environment. The optimized user experience we suggest integrates three priorities, namely a) content, by improving the quality of delivered learning materials, b) the teaching and learning process, by enabling live and synchronous learning, and c) the learners themselves, by enabling a timely detection of their emotional state during mobile learning. In detail, the contributions of this thesis are as follows: • A video codec optimized for screencast videos which achieves an unprecedented compression rate while maintaining a very high video quality, and a novel UI layout for video lectures, which together enable truly mobile access to live lectures. • A new approach in HTTP-based multimedia delivery that exploits the characteristics of live lectures in a mobile context and enables a significantly improved user experience for mobile live lectures. • A non-invasive affective learning model based on multi-modal emotion detection with very high recognition rates, which enables real-time emotion detection and subsequent adaption of the learning environment on mobile devices. The technology resulting from the research presented in this thesis is in daily use at the School of Continuing Education of Shanghai Jiaotong University (SOCE), a blended-learning institution with 35.000 students.

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Informatik- und insbesondere Programmierunterricht sind heute ein wichtiger Bestandteil der schulischen Ausbildung. Vereinfachte Entwicklungsumgebungen, die auf die Abstraktion typischer Programmierkonzepte in Form von grafischen Bausteinen setzen, unterstützen diesen Trend. Zusätzliche Attraktivität wird durch die Verwendung exotischer Laufzeitumgebungen (z. B. Roboter) geschaffen. Die in diesem Paper vorgestellte Plattform “ScratchDrone” führt ergänzend zu diesen Angeboten eine moderne Flugdrohne als innovative Laufzeitumgebung für Scratch-Programme ein. Die Programmierung kann dabei dank modularer Systemarchitektur auf verschiedenen Abstraktionsebenen erfolgen, abhängig vom Lernfortschritt der Schüler. Kombiniert mit einem mehrstufigen didaktischen Modell, der Herausforderung der Bewegung im 3D-Raum sowie der natürlichen menschlichen Faszination für das Fliegen wird so eine hohe Lernmotivation bei jungen Programmieranfängern erreicht.

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PURPOSE: To evaluate the long-term outcome of a 12-week outpatient cardiac rehabilitation (CR) program. METHODS: In a prospective single-center interventional cohort study, 201 consecutive patients (133 patients after acute coronary syndrome, 32 patients after heart surgery, and 36 patients with heart failure) attending a 12-week comprehensive outpatient CR program were evaluated for exercise capacity, cardiovascular risk factors (CvRFs), and quality of life at entry, end, and 1.4 years after completion of the program (followup). RESULTS: Physical exercise capacity improved significantly from program entry to program end and remained at this level at followup (P ≤ .006). CvRFs at followup were significantly reduced with regard to smoking prevalence and blood lipids (P < .001). At program end and followup, MacNew heart disease–specific emotional, physical, and social quality of life were improved significantly compared with those at program entry (P < .001). Use of cardioprotective medication remained equally high over the entire study period. However, significantly fewer patients reached blood pressure (<140/90 mm Hg, P = .034) and body mass index (<30 kg/m2, P = .017) goals at followup than at program end. CONCLUSION: The 12-week comprehensive outpatient CR program was successful at reducing important CvRFs long-term.

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Population coding is widely regarded as a key mechanism for achieving reliable behavioral decisions. We previously introduced reinforcement learning for population-based decision making by spiking neurons. Here we generalize population reinforcement learning to spike-based plasticity rules that take account of the postsynaptic neural code. We consider spike/no-spike, spike count and spike latency codes. The multi-valued and continuous-valued features in the postsynaptic code allow for a generalization of binary decision making to multi-valued decision making and continuous-valued action selection. We show that code-specific learning rules speed up learning both for the discrete classification and the continuous regression tasks. The suggested learning rules also speed up with increasing population size as opposed to standard reinforcement learning rules. Continuous action selection is further shown to explain realistic learning speeds in the Morris water maze. Finally, we introduce the concept of action perturbation as opposed to the classical weight- or node-perturbation as an exploration mechanism underlying reinforcement learning. Exploration in the action space greatly increases the speed of learning as compared to exploration in the neuron or weight space.

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Most models of intensive family preservation services are based on providing flexible services to reduce risk and keep families together. This study examined 40 cases served by a public agency Family Preservation Unit in 1992-1993, in order to assess the provision of hard, soft and enabling services in the program and whether their provision matched the program model. The relationships of these services to program outcomes, in terms of child removal, new reports of abuse or neglect, and family gains in resources and strengths, are also assessed.

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Despite that a wealth of evidence links striatal dopamine to individualś reward learning performance in non-social environments, the neurochemical underpinnings of such learning during social interaction are unknown. Here, we show that the administration of 300 mg of the dopamine precursor L-DOPA to 200 healthy male subjects influences learning about a partners' prosocial preferences in a novel social interaction task, which is akin to a repeated trust game. We found learning to be modulated by a well-established genetic marker of striatal dopamine levels, the 40-bp variable number tandem repeats polymorphism of the dopamine transporter (DAT1 polymorphism). In particular, we found that L-DOPA improves learning in 10/10R genoype subjects, who are assumed to have lower endogenous striatal dopamine levels and impairs learning in 9/10R genotype subjects, who are assumed to have higher endogenous dopamine levels. These findings provide first evidence for a critical role of dopamine in learning whether an interaction partner has a prosocial or a selfish personality. The applied pharmacogenetic approach may open doors to new ways of studying psychiatric disorders such as psychosis, which is characterized by distorted perceptions of others' prosocial attitudes.

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While sequence learning research models complex phenomena, previous studies have mostly focused on unimodal sequences. The goal of the current experiment is to put implicit sequence learning into a multimodal context: to test whether it can operate across different modalities. We used the Task Sequence Learning paradigm to test whether sequence learning varies across modalities, and whether participants are able to learn multimodal sequences. Our results show that implicit sequence learning is very similar regardless of the source modality. However, the presence of correlated task and response sequences was required for learning to take place. The experiment provides new evidence for implicit sequence learning of abstract conceptual representations. In general, the results suggest that correlated sequences are necessary for implicit sequence learning to occur. Moreover, they show that elements from different modalities can be automatically integrated into one unitary multimodal sequence.