yes
Ключевые слова
Digital media, social media, learning theories, deep learning, active learning, collective intelligence, social change, participatory culture
Резюме
There is today a great deal of controversy over digital and social media. Even leaders in the tech industry are beginning to decry the time young people spend on smartphones and social networks. Recently, the World Health Organization proposed adding “gaming disorder” to its official list of diseases, defining it as a pattern of gaming behavior so severe that it takes “precedence over other life interests”. At the same time, many others have celebrated the positive properties of video games, social media, and social networks. This paper argues that a deeper understanding of human beings is needed to design for deep learning. For the purposes of this study “design for deep learning” means helping people matter and find meaning in ways that make them and others healthy in mind and body, while improving the state of the world for all living things, with due respect for truth, sensation, happiness, imagination, individuality, diversity, and the future. In particular, fifteen features related to human nature are suggested based on recent scientific developments to answer the question: What is a human being? Consequently, proposals that are linked to learning and transformation, as well as social improvement, should fit with the ways in which humans, as specific sorts of biological and social creatures, learn best (or can learn at all) and can change for the better.
Ссылки
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Техническая спецификация
Получила: 11-05-2018
пересмотренный: 06-06-2018
Принятый: 01-08-2018
OnlineFirst: 15-11-2018
Дата публикации: 01-01-2019
Время пересмотра статьи: 26 дней | Среднее время пересмотра вопроса 58: 41 дней
Время принятия статьи: 82 дней | Время приема Номер 58: 74 дней
Время редактирования препринта: 190 дней | Выпуск препринта среднего времени редактирования 58: 182 дней
Время редактирования статьи: 235 дней | Среднее время редактирования журнала 58: 227 дней
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Цитируется
Цитаты в Web of Science
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Как процитировать
Gee, J., & Esteban-Guitart, M. (2019). Designing for deep learning in the context of digital and social media. [El diseño para el aprendizaje profundo en los medios de comunicación sociales y digitales]. Comunicar, 58, 9-18. https://doi.org/10.3916/C58-2019-01