| Title |
Can automated item generation be used to develop high quality MCQs that assess application of knowledge?
|
|---|---|
| Published in |
Research and Practice in Technology Enhanced Learning, June 2020
|
| DOI | 10.1186/s41039-020-00134-8 |
| Authors |
Debra Pugh, André De Champlain, Mark Gierl, Hollis Lai, Claire Touchie |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 13 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 13% |
| Medicine and Dentistry | 2 | 7% |
| Unspecified | 1 | 3% |
| Mathematics | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 7 | 23% |
| Unknown | 14 | 47% |