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| Chapter title |
Modeling Math Success Using Cohesion Network Analysis
|
|---|---|
| Chapter number | 12 |
| Book title |
Artificial Intelligence in Education
|
| Published by |
Springer, Cham, June 2018
|
| DOI | 10.1007/978-3-319-93846-2_12 |
| Book ISBNs |
978-3-31-993845-5, 978-3-31-993846-2
|
| Authors |
Scott A. Crossley, Maria-Dorinela Sirbu, Mihai Dascalu, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 29% |
| Researcher | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Lecturer > Senior Lecturer | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 29% |
| Psychology | 1 | 14% |
| Computer Science | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Design | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |