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X Demographics
Mendeley readers
| Title |
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2021
|
| DOI | 10.3389/frai.2021.723447 |
| Pubmed ID | |
| Authors |
Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 8% |
| Student > Ph. D. Student | 8 | 7% |
| Lecturer | 7 | 6% |
| Researcher | 6 | 5% |
| Student > Bachelor | 5 | 4% |
| Other | 20 | 17% |
| Unknown | 63 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 19% |
| Social Sciences | 7 | 6% |
| Engineering | 5 | 4% |
| Psychology | 3 | 3% |
| Business, Management and Accounting | 3 | 3% |
| Other | 11 | 9% |
| Unknown | 66 | 56% |