| Title |
Identifying middle school students’ challenges in computational thinking-based science learning
|
|---|---|
| Published in |
Research and Practice in Technology Enhanced Learning, May 2016
|
| DOI | 10.1186/s41039-016-0036-2 |
| Pubmed ID | |
| Authors |
Satabdi Basu, Gautam Biswas, Pratim Sengupta, Amanda Dickes, John S. Kinnebrew, Douglas Clark |
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 % |
|---|---|---|
| United States | 2 | 67% |
| 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 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | <1% |
| Unknown | 303 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 17% |
| Student > Master | 34 | 11% |
| Lecturer | 26 | 9% |
| Researcher | 20 | 7% |
| Student > Bachelor | 15 | 5% |
| Other | 60 | 20% |
| Unknown | 99 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 62 | 20% |
| Computer Science | 43 | 14% |
| Arts and Humanities | 17 | 6% |
| Mathematics | 16 | 5% |
| Engineering | 11 | 4% |
| Other | 49 | 16% |
| Unknown | 107 | 35% |