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Record Nr. |
UNINA9910460388303321 |
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Titolo |
Impact of social and mobile media and networks on learning environments in higher education |
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Pubbl/distr/stampa |
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[Bradford, West Yorkshire, England] : , : Emerald, , [2015] |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (133 p.) |
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Collana |
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Journal of Applied Research in Higher Education, , 2050-7003 ; ; Volume 7 Number 1 |
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Disciplina |
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Soggetti |
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Computer-assisted instruction |
Education - Computer network resources |
Internet in education |
Media programs (Education) |
Online social networks |
Electronic books. |
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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. |
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Nota di contenuto |
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Cover; Editorial advisory board; ICT in higher education: students perceive increased engagement; Measuring digital professional development: analytics for the use of web and social media; Exploring perceptionsof technology's impact on academic misconduct; Mobile knowledge: drivinga paradigm shift; Facilitating professional development of mobile and eTextbook technologies; The impact of addictions education and experiential activities on attitudes of students; Learning spaces in virtual worlds: bringing our distance students home |
The challenges of creating an online undergraduate community of practiceAdoption of web-based assessment in higher learning institutions (HLIs); Online induction programme with webinar: a case study |
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Sommario/riassunto |
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This eBook contains papers on the subject of the impact of social and mobile media and networks on learning environments in higher education. Authors discuss varied topics including ICT in higher |
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education and how students perceive increased engagement, how to use web and social media analytics to measure digital professional development, the current ongoing paradigm shift in mobile knowledge, and a fascinating peek into perceptions of technology's impact on academic misconduct. Further papers explore a special interest group approach toward facilitating professional development of mobile and |
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2. |
Record Nr. |
UNINA9910293143503321 |
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Autore |
Frank Steven A. |
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Titolo |
Control Theory Tutorial : Basic Concepts Illustrated by Software Examples / / by Steven A. Frank |
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Pubbl/distr/stampa |
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2018 |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XI, 111 p. 32 illus., 22 illus. in color.) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-5318 |
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Classificazione |
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MAT003000SCI064000TEC004000 |
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Disciplina |
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Soggetti |
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Automatic control |
System theory |
Control theory |
Biomathematics |
Mathematical physics |
Social sciences - Mathematics |
Control and Systems Theory |
Systems Theory, Control |
Mathematical and Computational Biology |
Mathematical Physics |
Mathematics in Business, Economics and Finance |
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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 contenuto |
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Introduction -- Part I: Basic Principles -- Part II: Design Tradeoffs -- |
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Part III: Common Challenges. |
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Sommario/riassunto |
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This open access brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches. |
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