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Digital Workplace Learning

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Cover of 'Digital Workplace Learning'

Table of Contents

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    Book Overview
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    Chapter 1 How We Learn at the Digital Workplace
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    Chapter 2 Encouraging Metacognition in Digital Learning Environments
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    Chapter 3 A New Work-and-Learn Framework
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    Chapter 4 Supporting Informal Workplace Learning Through Analytics
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    Chapter 5 Designing Competence Assessment in VET for a Digital Future
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    Chapter 6 Designing Flipped Learning for Digital Workplace Learning
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    Chapter 7 Workplace Learning, Big Data, and Organizational Readiness: Where to Start?
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    Chapter 8 Combining Learning Analytics with Job Market Intelligence to Support Learning at the Workplace
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    Chapter 9 Massive Open Online Courses in Digital Workplace Learning
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    Chapter 10 Creating a MOOC Portal for Workplace Learning
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    Chapter 11 KFZ4ME.DE: Design-Based Learning Settings for Vocational Education and Training
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    Chapter 12 Can Learning Analytics Find Success in Didactical Measurements? Results from a MOOC Case Study
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    Chapter 13 Digitalisation of Work: Between Affordances and Constraints for Learning at Work
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    Chapter 14 Visual Technologies to Bridge the Gap Between School and Workplace in Vocational Education
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    Chapter 15 Learning Factories in Vocational Schools
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    Chapter 16 Online Onboarding: Library Workplace Training in a Trilingual Interactive Online Asynchronous Environment
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    Chapter 17 Hive-Minded: Educators, Professional Learning Networks, and Knowledge Exchange in the Digital Age
Attention for Chapter 16: Online Onboarding: Library Workplace Training in a Trilingual Interactive Online Asynchronous Environment
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4 tweeters

Citations

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Chapter title
Online Onboarding: Library Workplace Training in a Trilingual Interactive Online Asynchronous Environment
Chapter number 16
Book title
Digital Workplace Learning
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-46215-8_16
Book ISBNs
978-3-31-946214-1, 978-3-31-946215-8
Authors

Russell Michalak, Monica D. T. Rysavy, Monica D. T. Rysavy, Michalak, Russell, Rysavy, Monica D. T.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 50%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Business, Management and Accounting 2 50%
Agricultural and Biological Sciences 1 25%
Social Sciences 1 25%