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This work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.
The first in a five volume set, this book reestablishes dress as a foundational context for crossdressing. This major study demonstrates the interplay between sex, gender, and clothes, especially as these relate to transgender behaviors, of which crossdressing is the best-known.
The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.
Conversing on Gender is, as its subtitle indicates, a primer for entering the broad conversation on gender that can be found both inside and outside of academic circles. The book considers the relation of gender to sex and sexuality, reviews prominent theories of gender, and covers basic gender issues.
This book constitutes the refereed proceedings of the 5th International Workshop on Learning Technology for Education in Cloud, LTEC 2016, held in Hagen, Germany, in July 2016. The 25 revised full papers presented were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on learning technologies; learning tools and environment; MOOC for learning; problem solving and knowledge transfer; case study.
This book constitutes the refereed proceedings of the Fourth International Workshop on Learning Technology for Education in Cloud, LTEC 2015, held in Maribor, Slovenia, in August 2015. The 24 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover various aspects of technologies for learning, such as MOOC challenges; cooperative learning; learning engineering; learning tools and environments; STEM.
This book constitutes the refereed proceedings of the 20 th International Conference on User Modeling, Adaptation, and Personalization, held in Montreal, Canada, in July 2012. The 22 long and 7 short papers of the Research Paper Track presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on user engagement; trust; user motivation, attention, and effort; recommender systems (including topics such as matrix factorization, critiquing, noise and spam in recommender systems); user centered design and evaluation; educational data mining; modeling learners; user models in microblogging; and visualization. The Industry Paper Track covered innovative commercial implementations or applications of UMAP technologies, and experience in applying recent research advances in practice. 2 long and 1 short papers were accepted of 5 submissions.
Education in today's technologically advanced environments makes complex cognitive demands on students pre-learning, during, and post-learning. Not surprisingly, these analytical learning processes--metacognitive processes--have become an important focus of study as new learning technologies are assessed for effectiveness in this area.Rich in theoretical models and empirical data, the International Handbook of Metacognition and Learning Technologies synthesizes current research on this critical topic. This interdisciplinary reference delves deeply into component processes of self-regulated learning (SRL), examining theories and models of metacognition, empirical issues in the study of SRL, a...
This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition.