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Timeline
X Demographics
Mendeley readers
Title |
Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases
|
---|---|
Published in |
Frontiers in Artificial Intelligence, October 2022
|
DOI | 10.3389/frai.2022.994967 |
Pubmed ID | |
Authors |
Andrea Gauthier, Saman Rizvi, Mutlu Cukurova, Manolis Mavrikis |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 15% |
Germany | 1 | 5% |
Australia | 1 | 5% |
Italy | 1 | 5% |
South Africa | 1 | 5% |
United States | 1 | 5% |
Switzerland | 1 | 5% |
Unknown | 11 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 65% |
Scientists | 7 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 11% |
Student > Master | 4 | 9% |
Unspecified | 3 | 7% |
Lecturer | 3 | 7% |
Student > Ph. D. Student | 3 | 7% |
Other | 9 | 20% |
Unknown | 17 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 14% |
Social Sciences | 6 | 14% |
Unspecified | 3 | 7% |
Business, Management and Accounting | 2 | 5% |
Mathematics | 1 | 2% |
Other | 5 | 11% |
Unknown | 21 | 48% |