You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 13% |
Student > Ph. D. Student | 7 | 11% |
Lecturer | 6 | 9% |
Student > Doctoral Student | 4 | 6% |
Researcher | 3 | 5% |
Other | 11 | 17% |
Unknown | 25 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 16% |
Social Sciences | 7 | 11% |
Engineering | 4 | 6% |
Business, Management and Accounting | 4 | 6% |
Mathematics | 2 | 3% |
Other | 8 | 13% |
Unknown | 29 | 45% |