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Mendeley readers
| Chapter title |
Predicting Question Quality Using Recurrent Neural Networks
|
|---|---|
| Chapter number | 36 |
| Book title |
Artificial Intelligence in Education
|
| Published by |
Springer, Cham, June 2018
|
| DOI | 10.1007/978-3-319-93843-1_36 |
| Book ISBNs |
978-3-31-993842-4, 978-3-31-993843-1
|
| Authors |
Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Kristopher J. Kopp, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu, Ruseti, Stefan, Dascalu, Mihai, Johnson, Amy M., Balyan, Renu, Kopp, Kristopher J., McNamara, Danielle S., Crossley, Scott A., Trausan-Matu, Stefan |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 9 | 23% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 38% |
| Linguistics | 2 | 5% |
| Social Sciences | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 13 | 33% |