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.
Mendeley readers
Chapter title |
Explaining Errors in Predictions of At-Risk Students in Distance Learning Education
|
---|---|
Chapter number | 22 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-52240-7_22 |
Book ISBNs |
978-3-03-052239-1, 978-3-03-052240-7
|
Authors |
Martin Hlosta, Tina Papathoma, Christothea Herodotou, Hlosta, Martin, Papathoma, Tina, Herodotou, Christothea |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 4 | 11% |
Student > Ph. D. Student | 4 | 11% |
Lecturer | 3 | 9% |
Unspecified | 3 | 9% |
Student > Master | 2 | 6% |
Other | 5 | 14% |
Unknown | 14 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 17% |
Social Sciences | 4 | 11% |
Unspecified | 3 | 9% |
Medicine and Dentistry | 2 | 6% |
Psychology | 1 | 3% |
Other | 3 | 9% |
Unknown | 16 | 46% |