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Mendeley readers
Chapter title |
Using Data Mining Techniques to Detect the Personality of Players in an Educational Game
|
---|---|
Chapter number | 5 |
Book title |
Educational Data Mining
|
Published by |
Springer, Cham, January 2014
|
DOI | 10.1007/978-3-319-02738-8_5 |
Book ISBNs |
978-3-31-902737-1, 978-3-31-902738-8
|
Authors |
Fazel Keshtkar, Candice Burkett, Haiying Li, Arthur C. Graesser, Keshtkar, Fazel, Burkett, Candice, Li, Haiying, Graesser, Arthur C. |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 4% |
United States | 2 | 4% |
Canada | 1 | 2% |
Unknown | 45 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 34% |
Student > Master | 8 | 16% |
Researcher | 5 | 10% |
Student > Postgraduate | 4 | 8% |
Student > Doctoral Student | 3 | 6% |
Other | 6 | 12% |
Unknown | 7 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 54% |
Social Sciences | 5 | 10% |
Psychology | 4 | 8% |
Environmental Science | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 3 | 6% |
Unknown | 9 | 18% |