| Title |
Automated doubt identification from informal reflections through hybrid sentic patterns and machine learning approach
|
|---|---|
| Published in |
Research and Practice in Technology Enhanced Learning, February 2021
|
| DOI | 10.1186/s41039-021-00149-9 |
| Authors |
Siaw Ling Lo, Kar Way Tan, Eng Lieh Ouh |
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 | 1 | 14% |
| France | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 11% |
| Other | 3 | 11% |
| Lecturer | 3 | 11% |
| Researcher | 3 | 11% |
| Professor | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 15% |
| Computer Science | 4 | 15% |
| Engineering | 2 | 7% |
| Linguistics | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 11 | 41% |