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Motor games are incredibly useful in enhancing education and developing critical skills; they can entertain, produce pleasant emotions, improve moods, and increase the level of relationships. Motor games allow social, emotional, and cognitive development as well as the acquisition of motor skills such as knowledge and mastery of body, postural control and adjustment, and improvement of coordination. However, it is essential to select the appropriate game for each context to achieve the desired learning in all students. Further research on the opportunities, challenges, and future directions of motor games in education is necessary to successfully implement them. The Handbook of Research on Using Motor Games in Teaching and Learning Strategy presents significant advances in motor game education and collects research evidence that uncovers the certainties and testifies to the educational power of motor games in various situations and specific contexts that promote the learning of participants. Covering topics such as emotional physical education and educational mediation, this major reference work is ideal for researchers, academicians, educators, practitioners, and students.
This document consists of three parts. Part I contains the proceedings of the two workshops, including lists of participants and the results of stock assessments by country and/or subregion made during the two workshops. Part II contains a combination of edited national reports.
A pesca artesanal e seus atores são os principais focos deste estudo, considerando a relevância dessa atividade na sobrevivência dos povos e sua influência sobre as ocupações territoriais. O objetivo desse trabalho é analisar as práticas pesqueiras artesanais na Laguna Manguaba, localizada no município de Marechal Deodoro no Estado de Alagoas e suas raízes históricas.
This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering
This document consists of three parts. Part I contains the proceedings of the two workshops, including lists of participants and the results of stock assessments by country and/or subregion made during the two workshops. Part II contains a combination of edited national reports.
The marketing of a destination necessitates strategic planning, decision making, and organization. Effective positioning will result in a strong brand that develops an emotional and productive two-way relationship. Notwithstanding, destination managers should possess relevant knowledge and understanding on traditional and contemporary marketing channels to better engage with prospective visitors. Destination Management and Marketing: Breakthroughs in Research and Practice focuses on utilizing destination branding and content marketing for sustainable growth and competitive advantage within the tourism and hospitality industry, including tools and techniques for travel branding and best practices for better tourism management strategies. Highlighting a range of topics such as service quality, sustainable tourism, and competitiveness model, this publication is an ideal reference source for government officials, travel agencies, advertisers, marketers, tour directors, hotel managers, restaurateurs, industry professionals including those within the hotel, leisure, transportation, and theme park sectors, policymakers, practitioners, academicians, researchers, and students.
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.