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Mendeley readers
Chapter title |
Leveraging Non-cognitive Student Self-reports to Predict Learning Outcomes
|
---|---|
Chapter number | 86 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-93846-2_86 |
Book ISBNs |
978-3-31-993845-5, 978-3-31-993846-2
|
Authors |
Kaśka Porayska-Pomsta, Manolis Mavrikis, Mutlu Cukurova, Maria Margeti, Tej Samani, Porayska-Pomsta, Kaśka, Mavrikis, Manolis, Cukurova, Mutlu, Margeti, Maria, Samani, Tej |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 17% |
Researcher | 1 | 8% |
Other | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 7 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Social Sciences | 1 | 8% |
Design | 1 | 8% |
Unknown | 8 | 67% |