Title |
Automatic question generation and answer assessment: a survey
|
---|---|
Published in |
Research and Practice in Technology Enhanced Learning, March 2021
|
DOI | 10.1186/s41039-021-00151-1 |
Authors |
Bidyut Das, Mukta Majumder, Santanu Phadikar, Arif Ahmed Sekh |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
France | 1 | 14% |
Indonesia | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 127 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 16% |
Student > Master | 11 | 9% |
Student > Bachelor | 9 | 7% |
Lecturer | 7 | 6% |
Professor | 4 | 3% |
Other | 17 | 13% |
Unknown | 59 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 45 | 35% |
Engineering | 4 | 3% |
Business, Management and Accounting | 4 | 3% |
Social Sciences | 3 | 2% |
Unspecified | 2 | 2% |
Other | 9 | 7% |
Unknown | 60 | 47% |