684 resultados para online interaction learning model


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Slides from presenters at the CITE seminar for staff

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The proliferation of Web-based learning objects makes finding and evaluating online resources problematic. While established Learning Analytics methods use Web interaction to evaluate learner engagement, there is uncertainty regarding the appropriateness of these measures. In this paper we propose a method for evaluating pedagogical activity in Web-based comments using a pedagogical framework, and present a preliminary study that assigns a Pedagogical Value (PV) to comments. This has value as it categorises discussion in terms of pedagogical activity rather than Web interaction. Results show that PV is distinct from typical interactional measures; there are negative or insignificant correlations with established Learning Analytics methods, but strong correlations with relevant linguistic indicators of learning, suggesting that the use of pedagogical frameworks may produce more accurate indicators than interaction analysis, and that linguistic rather than interaction analysis has the potential to automatically identify learning behaviour.

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In Metropolitan Area of Mexico City, most of urban displacements happen through semi formal public transportation: small and medium capacity vehicles operated by small private enterprises, through a concession scheme. This kind of public transportation has been playing a major role in the Mexican capital. On one hand, it has been one of the conditions for urbanization to be possible. On the other hand, despite its uncountable deficiencies, public transportation has allowed for a long time the whole population to be able to move within this huge metropolis. However, that important function with regards to integration has now reached its limits in the most recent suburbs of the city, where a new mode of urbanization is taking place, based on massive production of very big social housing gated settlements. Public transportation tends to constitute here a factor of exclusion and households meet with important difficulties for their daily mobility. 

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In this paper, we employ techniques from artificial intelligence such as reinforcement learning and agent based modeling as building blocks of a computational model for an economy based on conventions. First we model the interaction among firms in the private sector. These firms behave in an information environment based on conventions, meaning that a firm is likely to behave as its neighbors if it observes that their actions lead to a good pay off. On the other hand, we propose the use of reinforcement learning as a computational model for the role of the government in the economy, as the agent that determines the fiscal policy, and whose objective is to maximize the growth of the economy. We present the implementation of a simulator of the proposed model based on SWARM, that employs the SARSA(λ) algorithm combined with a multilayer perceptron as the function approximation for the action value function.

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Resumen tomado de la publicación. Monográfico con el título: El proceso de Bolonia : dinámicas y desafíos de la enseñanza superior en Europa a comienzos de una nueva época

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El libro explica, desde un punto de vista organizativo, cómo preparar cursos que ofrezcan formación online o semipresencial en el ámbito de la educación de adultos. Incluye: conceptos del aprendizaje, aprendizaje en línea y el papel de las metodologías online para ampliar y mejorar la oferta educativa; diseño del espacio de aprendizaje; desarrollo de la oferta educativa online; facilitar el aprendizaje en un entorno online; recursos y creación de contenidos; garantía de calidad y control.

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Monográfico con el título: 'Convergencia tecnológica: la producción de pedagogías high tech'. Resumen basado en el de la publicación

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Resumen basado en el de la publicaci??n

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With the advent of digital era web applications have become inevitable part of our lives. We are using the web to manage even the financially or ethically sensitive issues. For this reason exploration of information seeking behavior is an exciting area of research. Current study provides insight on information seeking behavior using a classic ‘Find the Difference’ game. 50 university students between the age of 19 and 26 participated in the study. Eye movement data were recorded with a Tobii T120 device. Participants carried out 4 continuous tasks. Each task included two pictures side by side with 7 hidden differences. After finishing the tasks, participants were asked to repeat the game with the same picture set. This data collection methodology allows the evaluation of learning curves. Additionally, participants were asked about their hand preference. For the purpose of analysis the following metrics were applied: task times (including saccades), fixation count and fixation duration (without saccades). The right- and left-hand side on each picture was selected as AOI (Area of Interest) to detect side preference in connection with hand preference. Results suggest a significant difference between male and female participants regarding aggregated task times (male 58.37s respectively female 68.37s), deviation in the number of fixations and fixation duration (apparently female have less but longer fixations) and also in the distribution of fixations between AOIs. Using eyetracking data current paper highlights the similarities and differences in information acquisition strategies respectively reveals gender and education (Arts vs. Sciences) dependent characteristics of interaction.

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Este trabalho teve por objetivo avaliar as perceções dos estudantes sobre o ambiente de aprendizagem online utilizado na instrução, em regime de b-learning e foi desenvolvido no contexto de duas unidades curriculares da área dos sistemas de informação do 1º ciclo de uma instituição de Ensino Superior portuguesa onde não existia experiência anterior da utilização de e-learning. Foi construído um ambiente de aprendizagem, suportado nas plataformas de comunicação assíncrona Moodle e síncrona Cisco WebEx, tendo a conceção da instrução privilegiado as estratégias orientadas para a aprendizagem centrada no estudante. Para responder às questões de investigação utilizou-se a técnica de inquérito por questionário. Os resultados revelam que os estudantes têm perceções positivas sobre o ambiente de aprendizagem online. Verificou-se uma forte correlação entre os aspetos relacionados com a conceção do ambiente de aprendizagem e o feedback, a interação, a gestão do tempo e a disponibilidade para o ensino online. A larga maioria dos estudantes (83,3%) indicou ainda que no futuro prefere optar por instrução em regime de b-learning. O desenvolvimento deste trabalho passa pelo aprofundamento do estudo, através da utilização de uma amostra mais representativa e da sua extensão aos professores de modo a percecionar como encaram a introdução do e-learning na instituição.

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This paper examines to what extent crops and their environment should be viewed as a coupled system. Crop impact assessments currently use climate model output offline to drive process-based crop models. However, in regions where local climate is sensitive to land surface conditions more consistent assessments may be produced with the crop model embedded within the land surface scheme of the climate model. Using a recently developed coupled crop–climate model, the sensitivity of local climate, in particular climate variability, to climatically forced variations in crop growth throughout the tropics is examined by comparing climates simulated with dynamic and prescribed seasonal growth of croplands. Interannual variations in land surface properties associated with variations in crop growth and development were found to have significant impacts on near-surface fluxes and climate; for example, growing season temperature variability was increased by up to 40% by the inclusion of dynamic crops. The impact was greatest in dry years where the response of crop growth to soil moisture deficits enhanced the associated warming via a reduction in evaporation. Parts of the Sahel, India, Brazil, and southern Africa were identified where local climate variability is sensitive to variations in crop growth, and where crop yield is sensitive to variations in surface temperature. Therefore, offline seasonal forecasting methodologies in these regions may underestimate crop yield variability. The inclusion of dynamic crops also altered the mean climate of the humid tropics, highlighting the importance of including dynamical vegetation within climate models.