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Künstliche Intelligenz

Overview of attention for book
Künstliche Intelligenz
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Einleitung: Entwicklungswege zur KI
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    Chapter 2 Hardware für KI
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    Chapter 3 Normen und Standards in der KI
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    Chapter 4 Augmented Intelligence – Wie Menschen mit KI zusammen arbeiten
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    Chapter 5 Maschinelles Lernen für die IT-Sicherheit
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    Chapter 6 Einleitung: KI ohne Grenzen?
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    Chapter 7 Neue Möglichkeiten für die Servicerobotik durch KI
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    Chapter 8 E-Governance: Digitalisierung und KI in der öffentlichen Verwaltung
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    Chapter 9 Learning Analytics an Hochschulen
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    Chapter 10 Perspektiven der KI in der Medizin
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    Chapter 11 Die Rolle der KI beim automatisierten Fahren
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    Chapter 12 Maschinelle Übersetzung
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    Chapter 13 Einleitung: „Intelligenz ist nicht das Privileg von Auserwählten.“
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    Chapter 14 KI und Arbeit – Chance und Risiko zugleich
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    Chapter 15 Neue Intelligenz, neue Ethik?
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    Chapter 16 Kreative Algorithmen für kreative Arbeit?
Attention for Chapter 9: Learning Analytics an Hochschulen
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Chapter title
Learning Analytics an Hochschulen
Chapter number 9
Book title
Künstliche Intelligenz
Published by
Springer Vieweg, Berlin, Heidelberg, January 2019
DOI 10.1007/978-3-662-58042-4_9
Book ISBNs
978-3-66-258041-7, 978-3-66-258042-4
Authors

Corinne Büching, Dana-Kristin Mah, Stephan Otto, Prisca Paulicke, Ernst A. Hartman, Büching, Corinne, Mah, Dana-Kristin, Otto, Stephan, Paulicke, Prisca, Hartman, Ernst A.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 20%
Student > Ph. D. Student 3 10%
Professor 3 10%
Other 2 7%
Student > Doctoral Student 2 7%
Other 4 13%
Unknown 10 33%
Readers by discipline Count As %
Computer Science 5 17%
Social Sciences 4 13%
Economics, Econometrics and Finance 4 13%
Engineering 3 10%
Business, Management and Accounting 2 7%
Other 2 7%
Unknown 10 33%

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