Dynamic Teaching of Russian: Games and Gamification of Learning explores the theory and practice of gamification in language education, with a special focus on Russian, offering an in-depth theoretical account of the psychology of games and their practical application to language teaching. This edited collection brings together diverse perspectives from an international pool of contributors. Topics covered include hands-on game-like activities, play, and games to enrich the Russian-language classroom that can be used with both adult and young Russian-language learners worldwide. The chapters use case studies to showcase innovative approaches that can be used in the language classroom to both motivate learners and improve the outcomes of teaching Russian. This book will appeal to lecturers, tutors, teachers, and all other educators of Russian in subject areas of Russian studies, Slavonic studies, language learning, and foreign language acquisition.

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

The book contains a selection of papers reflecting cutting-edge developments in the field of learning and teaching second and foreign languages. The contributions are devoted to such issues as classroom-oriented research, sociocultural aspects of language acquisition, individual differences in language learning, teacher development, new strands in second language acquisition research as well as methodological considerations. Because of its scope, the diversity of topics covered and the adoption of various theoretical perspectives, the volume is of interest not only to theorists and researchers but also to methodologists and practitioners, and can be used in courses for graduate students.

Advances in Human Factors in Training, Education, and Learning Sciences Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA