Community response in disasters: an ecological learning framework

Natural disasters are frequently exacerbated by anthropogenic mechanisms and have social and political consequences for communities. The role of community learning in disasters is seen to be increasingly important. However, the ways in which such learning unfolds in a disaster can differ substantially from case to case. This article uses a comparative case study methodology to examine catastrophes and major disasters from five countries (Japan, New Zealand, UK, US and Germany) to consider how community learning and adaptation occurs. An ecological model of learning is considered, where community learning is of small loop (adaptive, incremental, experimental) type or large loop (paradigm changing) type. Using this model we consider that there are three types of community learning that occur in disasters (navigation, organisation, reframing). The type of community learning that actually develops in a disaster depends upon a range of social factors such as stress and trauma, civic innovation and coercion.

Learning English as an adult: a narrative of women's improvised and empowered lives /

This thesis is a narrative inquiry of learning English as an adult. It stories the journey of 7 women, including me, and unravels lived experiences that serve as learning models. Learning English as an adult presents challenges and results in lifelong implications both in personal and professional life. Every learner's experience is imique and, when reflected upon, each experience is a valuable source of knowledge for constructing meanings and forging new identities. The stories are testimony to the participants' lives: interrupted yet improvised, silenced yet roused, dependent yet independent, intimidated yet courageous, vulnerable yet empowered. The personal experiences elucidate the passion, the inner voices, the dreams, and the rewards that compel persistence in learning a new language and releaming new social roles. The stories provide encouragement and hope to other women who are learning or will learn English in their adult years, and the lived experiences will offer insights for English language teachers. This thesis employs the phenomenology methodology of research with heuristic (discovery) and hermeneutical (interpretative) approaches using the reflective-responsivereflexive writing and interviewing methods for data gathering and unravelling. The narrative inquiry approach reaffirms that storytelling is an important tool in conducting research and constructing new knowledge. This thesis narrates a new story about sharing experiences, interconnecting, and continuing to learn.

Attribute reduction and missing value imputing with ANN: prediction of learning disabilities

Learning disability (LD) is a neurological condition that affects a child’s brain and impairs his ability to carry out one or many specific tasks. LD affects about 10% of children enrolled in schools. There is no cure for learning disabilities and they are lifelong. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Just as there are many different types of LDs, there are a variety of tests that may be done to pinpoint the problem The information gained from an evaluation is crucial for finding out how the parents and the school authorities can provide the best possible learning environment for child. This paper proposes a new approach in artificial neural network (ANN) for identifying LD in children at early stages so as to solve the problems faced by them and to get the benefits to the students, their parents and school authorities. In this study, we propose a closest fit algorithm data preprocessing with ANN classification to handle missing attribute values. This algorithm imputes the missing values in the preprocessing stage. Ignoring of missing attribute values is a common trend in all classifying algorithms. But, in this paper, we use an algorithm in a systematic approach for classification, which gives a satisfactory result in the prediction of LD. It acts as a tool for predicting the LD accurately, and good information of the child is made available to the concerned

Creación de un patrón de eLearning a partir de la consideración de aspectos relacionados con el diseño de objetos de aprendizaje para un caso práctico concreto de uso del móvil para dar soporte a Lifelong Learners, desde la perspectiva del diseño instruccional.

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Learning Analytics: Challenges and Future Research Directions

In recent years, learning analytics (LA) has attracted a great deal of attention in technology-enhanced learning (TEL) research as practitioners, institutions, and researchers are increasingly seeing the potential that LA has to shape the future TEL landscape. Generally, LA deals with the development of methods that harness educational data sets to support the learning process. This paper provides a foundation for future research in LA. It provides a systematic overview on this emerging field and its key concepts through a reference model for LA based on four dimensions, namely data, environments, context (what?), stakeholders (who?), objectives (why?), and methods (how?). It further identifies various challenges and research opportunities in the area of LA in relation to each dimension.