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| Chapter title |
Identifying Factors for Master Thesis Completion and Non-completion Through Learning Analytics and Machine Learning
|
|---|---|
| Chapter number | 3 |
| Book title |
Transforming Learning with Meaningful Technologies
|
| Published by |
Springer, Cham, September 2019
|
| DOI | 10.1007/978-3-030-29736-7_3 |
| Book ISBNs |
978-3-03-029735-0, 978-3-03-029736-7
|
| Authors |
Jalal Nouri, Ken Larsson, Mohammed Saqr, Nouri, Jalal, Larsson, Ken, Saqr, Mohammed |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Lecturer | 4 | 8% |
| Researcher | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 22% |
| Social Sciences | 5 | 10% |
| Engineering | 4 | 8% |
| Business, Management and Accounting | 4 | 8% |
| Mathematics | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 19 | 37% |