| Title |
Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor
|
|---|---|
| Published in |
International Journal of Artificial Intelligence in Education, October 2015
|
| DOI | 10.1007/s40593-015-0070-z |
| Authors |
Kelly Rivers, Kenneth R. Koedinger |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 194 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 29% |
| Student > Master | 32 | 16% |
| Researcher | 14 | 7% |
| Lecturer | 12 | 6% |
| Student > Bachelor | 11 | 6% |
| Other | 45 | 23% |
| Unknown | 26 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 114 | 58% |
| Social Sciences | 16 | 8% |
| Engineering | 6 | 3% |
| Psychology | 6 | 3% |
| Mathematics | 3 | 2% |
| Other | 13 | 7% |
| Unknown | 39 | 20% |