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Adventure Education: Theory and Applications allows students to •get a broad view of adventure education and programming; •explore the role of games, low- and high-element courses, and outdoor pursuits in adventure education; •use key concepts, student activities, and Web-based research to enhance the learning process; •employ real-world examples to explore strategies for adventure education in a variety of settings; and •learn core skills for effective facilitation and leadership preparation in adventure programming. With Adventure Education: Theory and Applications, adventure education enters the educational mainstream. This comprehensive text is ideal for introductory adventure courses in a variety of college departments and as a reference for professionals in the field. Project Adventure, a leader in the field of facilities-based adventure learning, teams up with leading adventure educators and professionals to provide a broad view of adventure education and programming. Together, they present the foundational theories and applications of adventure education. In doing so, they •explore the role of games, low- and high-element courses, and outdoor pursuits in adventure education; •cover the core skills for effective facilitation and leadership preparation; •include student-friendly features, such as key concepts, summaries, student activities, additional readings, and Web-based research to meet students' levels of experience and enhance the easy delivery of the course; and •recommend strategies for adventure education and programming based on real-world examples that connect to a variety of recreational, educational, therapeutic, and community settings. Part I presents the history of adventure education as well as the numerous theories and philosophies that have informed its development. It explores the world of adventure in education, health care, and therapeutic, corporate, and school settings. It also provides an overview of adventure organizations and career options, which is helpful to students who are interested in pursuing the study of adventure. Part II outlines the technical and pedagogical skills needed for facilitating adventure experiences. Part III describes each adventure component, explaining how they work in the educational process. It covers facilities-based pursuits such as games, cooperative activities and initiatives, and challenge courses as well as outdoor pursuits. Some sample activities and many additional resources are provided. The final chapter covers models for programming adventure in educational, therapeutic, corporate, and community settings. For students who select careers in other fields, the leadership and team skills learned through Adventure Education: Theory and Applications will serve them well in their future workplaces. For students who do go into adventure education, this text is their guide for finding their own paths in the field.

Buitenactiviteiten. --- Buitensporten. --- Adventure education. --- Adventure education --- Buitensport ; didactiek --- Adventure learning --- Adventure programming (Education) --- Outdoor education

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This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning, understanding, production, and grounding interactively or autonomously from data in cognitive and neural systems, as well as on their potential or real applications in different domains.

Information technology industries --- Computer science --- tourism big data --- text mining --- NLP --- deep learning --- clinical named entity recognition --- information extraction --- multitask model --- long short-term memory --- conditional random field --- relation extraction --- entity recognition --- long short-term memory network --- multi-turn chatbot --- dialogue context encoding --- WGAN-based response generation --- BERT word embedding --- text summary --- reinforce learning --- FAQ classification --- encoder-decoder neural network --- multi-level word embeddings --- BERT --- bidirectional RNN --- cloze test --- Korean dataset --- machine comprehension --- neural language model --- sentence completion --- primary healthcare --- chief complaint --- virtual medical assistant --- spoken natural language --- disease diagnosis --- medical specialist --- protein-protein interactions --- deep learning (DL) --- convolutional neural networks (CNN) --- bidirectional long short-term memory (bidirectional LSTM) --- dialogue management --- user simulation --- reward shaping --- conversation knowledge --- multi-agent reinforcement learning --- language modeling --- classification --- error probability --- error assessment --- logic error --- neural network --- LSTM --- attention mechanism --- programming education --- neural architecture search --- word ordering --- Korean syntax --- adversarial attack --- adversarial example --- sentiment classification --- dual pointer network --- context-to-entity attention --- text classification --- rule-based --- word embedding --- Doc2vec --- paraphrase identification --- encodings --- R-GCNs --- contextual features --- sentence retrieval --- TF−ISF --- BM25 --- partial match --- sequence similarity --- word to vector --- word embeddings --- antonymy detection --- polarity --- text normalization --- natural language processing --- deep neural networks --- causal encoder --- question classification --- multilingual --- convolutional neural networks --- Natural Language Processing (NLP) --- transfer learning --- open information extraction --- recurrent neural networks --- bilingual translation --- speech-to-text --- LaTeX decompilation --- word representation learning --- word2vec --- sememes --- structural information --- sentiment analysis --- zero-shot learning --- news analysis --- cross-lingual classification --- multilingual transformers --- knowledge base --- commonsense --- sememe prediction --- attention model --- ontologies --- fixing ontologies --- quick fix --- quality metrics --- online social networks --- rumor detection --- Cantonese --- XGA model --- delayed combination --- CNN dictionary --- named entity recognition --- deep learning NER --- bidirectional LSTM CRF --- CoNLL --- OntoNotes --- toxic comments --- neural networks --- tourism big data --- text mining --- NLP --- deep learning --- clinical named entity recognition --- information extraction --- multitask model --- long short-term memory --- conditional random field --- relation extraction --- entity recognition --- long short-term memory network --- multi-turn chatbot --- dialogue context encoding --- WGAN-based response generation --- BERT word embedding --- text summary --- reinforce learning --- FAQ classification --- encoder-decoder neural network --- multi-level word embeddings --- BERT --- bidirectional RNN --- cloze test --- Korean dataset --- machine comprehension --- neural language model --- sentence completion --- primary healthcare --- chief complaint --- virtual medical assistant --- spoken natural language --- disease diagnosis --- medical specialist --- protein-protein interactions --- deep learning (DL) --- convolutional neural networks (CNN) --- bidirectional long short-term memory (bidirectional LSTM) --- dialogue management --- user simulation --- reward shaping --- conversation knowledge --- multi-agent reinforcement learning --- language modeling --- classification --- error probability --- error assessment --- logic error --- neural network --- LSTM --- attention mechanism --- programming education --- neural architecture search --- word ordering --- Korean syntax --- adversarial attack --- adversarial example --- sentiment classification --- dual pointer network --- context-to-entity attention --- text classification --- rule-based --- word embedding --- Doc2vec --- paraphrase identification --- encodings --- R-GCNs --- contextual features --- sentence retrieval --- TF−ISF --- BM25 --- partial match --- sequence similarity --- word to vector --- word embeddings --- antonymy detection --- polarity --- text normalization --- natural language processing --- deep neural networks --- causal encoder --- question classification --- multilingual --- convolutional neural networks --- Natural Language Processing (NLP) --- transfer learning --- open information extraction --- recurrent neural networks --- bilingual translation --- speech-to-text --- LaTeX decompilation --- word representation learning --- word2vec --- sememes --- structural information --- sentiment analysis --- zero-shot learning --- news analysis --- cross-lingual classification --- multilingual transformers --- knowledge base --- commonsense --- sememe prediction --- attention model --- ontologies --- fixing ontologies --- quick fix --- quality metrics --- online social networks --- rumor detection --- Cantonese --- XGA model --- delayed combination --- CNN dictionary --- named entity recognition --- deep learning NER --- bidirectional LSTM CRF --- CoNLL --- OntoNotes --- toxic comments --- neural networks