988 resultados para Instrumental teaching
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The rate of adoption and use of learning management systems to support teaching and learning processes in academic institutions is growing rapidly. Universities are acquiring systems with functionalities that can match with their specific needs and requirements. Moodle is one of the most popular and widely deployed learning management systems in academic institutions today. However, apart from the system, universities tend to maintain other applications for the purpose of supplementing their teaching and learning processes. This situation is similar to Lappeenranta University of Technology (LUT), which is our case study in this project. Apart from Moodle, the university also maintains other systems such as Oodi, Noppa and Uni portal for the purpose of supporting its educational activities. This thesis has two main goals. The first goal is to understand the specific role of Moodle at LUT. This information is fundamental in assessing whether Moodle is needed in the university’s current teaching and learning environment. The second aim is to provide insights to teachers and other departmental stakeholders on how Moodle can provide added value in the teaching of a software development course. In response to this, a Moodle module for a software development course is created and the underlying features are tested. Results of the constructive work proposed some improvements through (i) the use of Moodle for in-class surveys, (ii) transfer of grades from Moodle to Oodi, (iii) use of Moodle in self-study courses and MOOCs, (iv) online examinations, and (v) Moodle integrations with third party applications. The proposed items were then evaluated for their utility through interviews of five expert interviews. The final results of this work are considered useful to LUT administration and management specifically on ways that Moodle can bring changes to the university at managerial, economical and technical level. It also poses some challenges on platform innovations and research.
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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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The goal of this study was to examine the prevalence, assessment and management of pediatric pain in a public teaching hospital. The study sample consisted of 121 inpatients (70 infants, 36 children, and 15 adolescents), their families, 40 physicians, and 43 nurses. All participants were interviewed except infants and children who could not communicate due to their clinical status. The interview included open-ended questions concerning the inpatients’ pain symptoms during the 24 h preceding data collection, as well as pain assessment and pharmacological/non-pharmacological management of pain. The data were obtained from 100% of the eligible inpatients. Thirty-four children/adolescents (28%) answered the questionnaire and for the other 72% (unable to communicate), the family/health professional caregivers reported pain. Among these 34 persons, 20 children/adolescents reported pain, 68% of whom reported that they received pharmacological intervention for pain relief. Eighty-two family caregivers were available on the day of data collection. Of these, 40 family caregivers (49%) had observed their child’s pain response. In addition, 74% reported that the inpatients received pharmacological management. Physicians reported that only 38% of the inpatients exhibited pain signs, which were predominantly acute pain detected during clinical procedures. They reported that 66% of patients received pharmacological intervention. The nurses reported pain signs in 50% of the inpatients, which were detected during clinical procedures. The nurses reported that pain was managed in 78% of inpatients by using pharmacological and/or non-pharmacological interventions. The findings provide evidence of the high prevalence of pain in pediatric inpatients and the under-recognition of pain by health professionals.
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O efeito das variáveis independentes: soro desmineralizado em pó (0,0; 1,5 e 3,0 %), cultura láctica (1,0; 2,0 e 3,0 %) e temperatura de tratamento da mistura (85; 90 e 95°C) foi estudado nas respostas consistência sensorial e instrumental do iogurte. A metodologia de superfície de resposta foi usada para efetuar tratamentos estatísticos dos experimentos e desenvolver modelos matemáticos da relação entre as variáveis e as respostas. A consistência instrumental e sensorial apresentaram resultados semelhantes e correlacionáveis entre si, r = 0,65 (p < 0,01), ambas foram maiores quando aumentou-se a temperatura da mistura e diminuiu-se o teor de soro desmineralizado em pó.
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As mais importantes frutas tropicais na categoria de sucos são maracujá e manga, especialmente desejadas por sua impressão aromática e intensa. O aroma e o sabor são resultados da presença de numerosos constituintes que se encontram em concentrações variáveis, extremamente sensíveis às mudanças durante o tratamento térmico na produção de suco. Há a necessidade do desenvolvimento dos perfis sensorial e de cor, que podem ser alterados durante o processamento do suco. O objetivo deste trabalho foi desenvolver esses perfis e avaliar os sucos de maracujá entamborado: despolpado, pasteurizado, entamborado e congelado); pronto para beber (formulado com açúcar e água); e pasteurizado. Treze atributos compuseram o perfil sensorial. O experimento de Análise Descritiva Quantitativa foi delineado com 2 fatores, sucos e provadores. Os resultados foram também submetidos a uma análise de componentes principais. Houve diferença significativa entre os três sucos nos atributos sensoriais, exceto para aromas de maracujá e doce. O aroma artificial, e os aromas e os sabores de cozido e fermentado aumentaram significativamente no suco processado. Os dois primeiros componentes principais concentraram 57% da variação nos atributos sensoriais. Os parâmetros de cor, à exceção do turbidez, apresentaram variações significativas entre os sucos. O suco entamborado foi o mais escuro. A intensidade de vermelho nos sucos entamborado e formulado foi similar, menos acentuada no pasteurizado, enquanto a intensidade de amarelo foi mais acentuada no formulado, decrescendo nos pasteurizado e entamborado.
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O efeito de diferentes combinações de gomas sobre os parâmetros de textura instrumental de queijo tipo petit-suisse probiótico foi avaliado. Queijos petit-suisse foram produzidos utilizando-se massa-base de queijo quark preparada com o starter Streptococcus thermophilus e os probióticos Lactobacillus acidophilus e Bifidobacterium longum. Três formulações de queijo petit-suisse foram preparadas, a partir de massa-base de queijo quark adicionada de 0,75% do produto final da mistura de gomas - xantana (X), carragena (C), guar (G), pectina (P): F1 = 2,5X:2,5C:5G; F2 = 2X:3C:5P; F3 = 5C:5G. Os parâmetros avaliados após 1, 7, 14 e 21 dias de armazenamento do produto a 4±1ºC incluíram a contagem de probióticos, a textura instrumental, o pH e a umidade. As populações de probióticos mantiveram-se acima de 6,40 log UFC/g para L. acidophilus e de 7,30 log UFC/g para B. longum. Houve diferença significativa entre as formulações (p<0,05) para todos os parâmetros de textura, exceto a firmeza de F1. O pH e a umidade apresentaram comportamento semelhante para as três formulações. Dentre as formulações estudadas, F1 foi considerada a melhor, por sua firmeza mais estável durante o período de armazenamento.
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Response Surface Methodology (RSM) was applied to evaluate the chromatic features and sensory acceptance of emulsions that combine Soy Protein (SP) and red Guava Juice (GJ). The parameters analyzed were: instrumental color based on the coordinates a* (redness), b* (yellowness), L* (lightness), C* (chromaticity), h* (hue angle), visual color, acceptance, and appearance. The analyses of the results showed that GJ was responsible for the high measured values of red color, hue angle, chromaticity, acceptance, and visual color, whereas SP was the variable that increased the yellowness intensity of the assays. The redness (R²adj = 74.86%, p < 0.01) and hue angle (R²adj = 80.96%, p < 0.01) were related to the independent variables by linear models, while the sensory data (color and acceptance) could not be modeled due to a high variability. The models of yellowness, lightness, and chromaticity did not present lack of fit but presented adjusted determination coefficients bellow 70%. Notwithstanding, the linear correlations between sensory and instrumental data were not significant (p > 0.05) and low Pearson coefficients were obtained. The results showed that RSM is a useful tool to develop soy-based emulsions and model some chromatic features of guava-based emulsions through RSM.
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It is important to understand how changes in the product formulation can modify its characteristics. Thus, the objective of this study was to investigate the effect of whey protein concentrate (WPC) on the texture of fat-free dairy desserts. The correlation between instrumental and sensory measurements was also investigated. Four formulations were prepared with different WPC concentrations (0, 1.5, 3.0, and 4.5 wt. (%)) and were evaluated using the texture profile analysis (TPA) and rheology. Thickness was evaluated by nine trained panelists. Formulations containing WPC showed higher firmness, elasticity, chewiness, and gumminess and clearly differed from the control as indicated by principal component analysis (PCA). Flow behavior was characterized as time-dependent and pseudoplastic. Formulation with 4.5% WPC at 10 °C showed the highest thixotropic behavior. Experimental data were fitted to Herschel-Bulkley model. The addition of WPC contributed to the texture of the fat-free dairy dessert. The yield stress, apparent viscosity, and perceived thickness in the dairy desserts increased with WPC concentration. The presence of WPC promotes the formation of a stronger gel structure as a result of protein-protein interactions. The correlation between instrumental parameters and thickness provided practical results for food industries.
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The objective of this study was to predict by means of Artificial Neural Network (ANN), multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters). Output variables were the sensory attributes consistency and spreadability. Nine light cheesecurd formulations composed of different combinations of fat and water were evaluated. The measurements obtained by the instrumental and sensory analyses of these formulations constituted the data set used for training and validation of the network. Network training was performed using a back-propagation algorithm. The network architecture selected was composed of 8-3-9-2 neurons in its layers, which quickly and accurately predicted the sensory texture attributes studied, showing a high correlation between the predicted and experimental values for the validation data set and excellent generalization ability, with a validation RMSE of 0.0506.