Artificial Intelligence in Education
Springer Berlin Heidelberg
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Timeline
Mendeley readers
| Chapter title |
Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features
|
|---|---|
| Chapter number | 62 |
| Book title |
Artificial Intelligence in Education
|
| Published by |
Springer, Berlin, Heidelberg, June 2011
|
| DOI | 10.1007/978-3-642-21869-9_62 |
| Book ISBNs |
978-3-64-221868-2, 978-3-64-221869-9
|
| Authors |
Scott A. Crossley, Rod Roscoe, Danielle S. McNamara |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 31% |
| Researcher | 8 | 16% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 31% |
| Linguistics | 12 | 24% |
| Psychology | 6 | 12% |
| Social Sciences | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 11 | 22% |