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Privacy and data protection in learning analytics should be motivated by an educational maxim—towards a proposal

Overview of attention for article published in Research and Practice in Technology Enhanced Learning, December 2018
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13 X users

Citations

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100 Mendeley
Title
Privacy and data protection in learning analytics should be motivated by an educational maxim—towards a proposal
Published in
Research and Practice in Technology Enhanced Learning, December 2018
DOI 10.1186/s41039-018-0086-8
Pubmed ID
Authors

Tore Hoel, Weiqin Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Student > Ph. D. Student 9 9%
Lecturer 7 7%
Researcher 6 6%
Professor 5 5%
Other 21 21%
Unknown 39 39%
Readers by discipline Count As %
Computer Science 18 18%
Social Sciences 14 14%
Business, Management and Accounting 5 5%
Engineering 5 5%
Arts and Humanities 3 3%
Other 11 11%
Unknown 44 44%