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X Demographics
Mendeley readers
| Title |
Integrating automatic question generation with computerised adaptive test
|
|---|---|
| Published in |
Research and Practice in Technology Enhanced Learning, May 2020
|
| DOI | 10.1186/s41039-020-00132-w |
| Authors |
Yuni Susanti, Takenobu Tokunaga, Hitoshi Nishikawa |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Lecturer | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Other | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 7 | 29% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 42% |
| Social Sciences | 4 | 17% |
| Arts and Humanities | 2 | 8% |
| Linguistics | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 17% |