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| Chapter title |
A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner Errors
|
|---|---|
| Chapter number | 23 |
| Book title |
Transforming Learning with Meaningful Technologies
|
| Published by |
Springer, Cham, September 2019
|
| DOI | 10.1007/978-3-030-29736-7_23 |
| Book ISBNs |
978-3-03-029735-0, 978-3-03-029736-7
|
| Authors |
Nicolas Ballier, Thomas Gaillat, Andrew Simpkin, Bernardo Stearns, Manon Bouyé, Manel Zarrouk, Ballier, Nicolas, Gaillat, Thomas, Simpkin, Andrew, Stearns, Bernardo, Bouyé, Manon, Zarrouk, Manel |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 22% |
| India | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 2 | 25% |
| Computer Science | 2 | 25% |
| Unknown | 4 | 50% |