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 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 2 | <1% |
Unknown | 304 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 50 | 16% |
Student > Master | 34 | 11% |
Lecturer | 26 | 8% |
Researcher | 20 | 7% |
Student > Bachelor | 15 | 5% |
Other | 59 | 19% |
Unknown | 102 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 63 | 21% |
Computer Science | 42 | 14% |
Arts and Humanities | 17 | 6% |
Mathematics | 16 | 5% |
Engineering | 11 | 4% |
Other | 47 | 15% |
Unknown | 110 | 36% |