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Mendeley readers
Chapter title |
Student Coding Styles as Predictors of Help-Seeking Behavior
|
---|---|
Chapter number | 130 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer Berlin Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-39112-5_130 |
Book ISBNs |
978-3-64-239111-8, 978-3-64-239112-5
|
Authors |
Engin Bumbacher, Alfredo Sandes, Amit Deutsch, Paulo Blikstein |
Editors |
H. Chad Lane, Kalina Yacef, Jack Mostow, Philip Pavlik |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 6% |
United Kingdom | 1 | 3% |
Ireland | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 29 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 38% |
Student > Master | 5 | 15% |
Researcher | 4 | 12% |
Professor | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 2 | 6% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 53% |
Social Sciences | 4 | 12% |
Psychology | 3 | 9% |
Mathematics | 2 | 6% |
Engineering | 1 | 3% |
Other | 0 | 0% |
Unknown | 6 | 18% |