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X Demographics
Mendeley readers
| Title |
The utilization of data analysis techniques in predicting student performance in massive open online courses (MOOCs)
|
|---|---|
| Published in |
Research and Practice in Technology Enhanced Learning, July 2015
|
| DOI | 10.1186/s41039-015-0007-z |
| Pubmed ID | |
| Authors |
Glyn Hughes, Chelsea Dobbins |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Indonesia | 1 | <1% |
| Turkey | 1 | <1% |
| Finland | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 183 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 20% |
| Student > Master | 35 | 19% |
| Researcher | 19 | 10% |
| Lecturer | 13 | 7% |
| Student > Doctoral Student | 8 | 4% |
| Other | 34 | 18% |
| Unknown | 42 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 53 | 28% |
| Social Sciences | 29 | 15% |
| Engineering | 9 | 5% |
| Business, Management and Accounting | 8 | 4% |
| Psychology | 7 | 4% |
| Other | 31 | 16% |
| Unknown | 52 | 28% |