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% |