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Record Nr. |
UNINA9910790663403321 |
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Autore |
Gardner Howard |
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Titolo |
The app generation [[electronic resource] ] : how today's youth navigate identity, intimacy, and imagination in a digital world / / Howard Gardner and Katie Davis |
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Pubbl/distr/stampa |
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New Haven : , : Yale University Press, , 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (257 p.) |
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Classificazione |
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PSY004000SOC047000SOC052000TEC052000 |
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Altri autori (Persone) |
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DavisKatie (Assistant professor) |
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Disciplina |
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Soggetti |
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Internet and youth |
Youth |
Technology and youth |
Identity (Psychology) |
Creative ability in adolescence |
Application software |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface -- Introduction -- Talk ab out technology -- Unpacking the generations : from biology to culture to technology -- Personal identity in the age of the app -- Apps and intimate relationships -- Acts (and apps) of imagination among today's youth -- Conclusion. Beyond the app generation. |
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Sommario/riassunto |
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No one has failed to notice that the current generation of youth is deeply-some would say totally-involved with digital media. Professors Howard Gardner and Katie Davis name today's young people The App Generation, and in this spellbinding book they explore what it means to be "app-dependent" versus "app-enabled" and how life for this generation differs from life before the digital era. Gardner and Davis are concerned with three vital areas of adolescent life: identity, intimacy, and imagination. Through innovative research, including interviews of young people, focus groups of those who work with them, and a unique comparison of youthful artistic productions before and after the digital revolution, the authors uncover the drawbacks of apps: they may foreclose a sense of identity, encourage superficial relations |
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with others, and stunt creative imagination. On the other hand, the benefits of apps are equally striking: they can promote a strong sense of identity, allow deep relationships, and stimulate creativity. The challenge is to venture beyond the ways that apps are designed to be used, Gardner and Davis conclude, and they suggest how the power of apps can be a springboard to greater creativity and higher aspirations. |
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2. |
Record Nr. |
UNINA9910627260103321 |
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Titolo |
Artificial Intelligence and Machine Learning for Healthcare : Vol. 1: Image and Data Analytics / / edited by Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jain |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (239 pages) |
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Collana |
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Intelligent Systems Reference Library, , 1868-4408 ; ; 228 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Biomedical engineering |
Artificial intelligence |
Medical informatics |
Computational Intelligence |
Biomedical Engineering and Bioengineering |
Artificial Intelligence |
Health Informatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. . |
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Sommario/riassunto |
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Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and |
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well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector. |
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