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Mendeley readers
Chapter title |
Early Dropout Prediction for Programming Courses Supported by Online Judges
|
---|---|
Chapter number | 13 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-23207-8_13 |
Book ISBNs |
978-3-03-023206-1, 978-3-03-023207-8
|
Authors |
Filipe D. Pereira, Elaine Oliveira, Alexandra Cristea, David Fernandes, Luciano Silva, Gene Aguiar, Ahmed Alamri, Mohammad Alshehri, Pereira, Filipe D., Oliveira, Elaine, Cristea, Alexandra, Fernandes, David, Silva, Luciano, Aguiar, Gene, Alamri, Ahmed, Alshehri, Mohammad |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 11% |
Lecturer | 3 | 8% |
Student > Doctoral Student | 3 | 8% |
Professor | 3 | 8% |
Student > Ph. D. Student | 3 | 8% |
Other | 6 | 16% |
Unknown | 15 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 27% |
Social Sciences | 4 | 11% |
Engineering | 3 | 8% |
Arts and Humanities | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 18 | 49% |