Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19
Springer International Publishing
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
| Title |
Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19
|
|---|---|
| Published by |
Springer International Publishing, January 2022
|
| DOI | 10.1007/978-3-030-93921-2 |
| ISBNs |
978-3-03-093920-5, 978-3-03-093921-2
|
| Editors |
Allam Hamdan, Aboul Ella Hassanien, Timothy Mescon, Bahaaeddin Alareeni |
X Demographics
The data shown below were collected from the profiles of 5 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.
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bahrain | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |