| Title |
Student placement and skill ranking predictors for programming classes using class attitude, psychological scales, and code metrics
|
|---|---|
| Published in |
Research and Practice in Technology Enhanced Learning, June 2018
|
| DOI | 10.1186/s41039-018-0075-y |
| Pubmed ID | |
| Authors |
Ryosuke Ishizue, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Student > Bachelor | 7 | 12% |
| Student > Doctoral Student | 5 | 8% |
| Student > Master | 4 | 7% |
| Researcher | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 25 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 25% |
| Medicine and Dentistry | 6 | 10% |
| Engineering | 3 | 5% |
| Business, Management and Accounting | 3 | 5% |
| Social Sciences | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 25 | 42% |