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Mendeley readers
Chapter title |
Using Sequential Pattern Mining to Explore Learners’ Behaviors and Evaluate Their Correlation with Performance in Inquiry-Based Learning
|
---|---|
Chapter number | 21 |
Book title |
Data Driven Approaches in Digital Education
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66610-5_21 |
Book ISBNs |
978-3-31-966609-9, 978-3-31-966610-5
|
Authors |
Rémi Venant, Kshitij Sharma, Philippe Vidal, Pierre Dillenbourg, Julien Broisin, Venant, Rémi, Sharma, Kshitij, Vidal, Philippe, Dillenbourg, Pierre, Broisin, Julien |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 16% |
Student > Ph. D. Student | 4 | 11% |
Lecturer | 3 | 8% |
Researcher | 2 | 5% |
Student > Postgraduate | 2 | 5% |
Other | 6 | 16% |
Unknown | 14 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 32% |
Engineering | 3 | 8% |
Arts and Humanities | 1 | 3% |
Mathematics | 1 | 3% |
Chemical Engineering | 1 | 3% |
Other | 2 | 5% |
Unknown | 17 | 46% |