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Mendeley readers
Chapter title |
Predicting Student Performance in Distance Higher Education Using Active Learning
|
---|---|
Chapter number | 7 |
Book title |
Engineering Applications of Neural Networks
|
Published by |
Springer, Cham, August 2017
|
DOI | 10.1007/978-3-319-65172-9_7 |
Book ISBNs |
978-3-31-965171-2, 978-3-31-965172-9
|
Authors |
Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George Gravvanis |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 13% |
Student > Master | 6 | 10% |
Student > Doctoral Student | 5 | 8% |
Lecturer | 4 | 7% |
Student > Bachelor | 3 | 5% |
Other | 9 | 15% |
Unknown | 25 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 33% |
Engineering | 3 | 5% |
Mathematics | 2 | 3% |
Business, Management and Accounting | 2 | 3% |
Decision Sciences | 2 | 3% |
Other | 4 | 7% |
Unknown | 27 | 45% |