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Service-learning is a form of experiential education that combines academic study with community service. Learning occurs as students work with others through applying their academic knowledge to community needs and at the same time, reflecting on their experience and the real-world relevance of their skills. Service-learning in Asia: Curricular Models and Practices describes the development of service-learning in Asia around three themes: service-learning and indigenous traditions; service-learning and social justice education; and service-learning and multicultural education. The essays in this collection are multi-disciplinary, ranging from the field of social work to business. The discussions are also comprehensive, covering every dimension of service-learning from curricular designs to learning outcome assessment.
An overview of the causes and consequences of speculative attacks on domestic currency and international financial turmoil. It provides a comprehensive treatment of the existing theories of exchange rate crises and of financial market runs.
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.