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 |
Aligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs Using Data Mining Techniques
|
|---|---|
| Chapter number | 1 |
| Book title |
Advances in Integrations of Intelligent Methods
|
| Published by |
Springer, Singapore, January 2020
|
| DOI | 10.1007/978-981-15-1918-5_1 |
| Book ISBNs |
978-9-81-151917-8, 978-9-81-151918-5
|
| Authors |
Ahmed Ewais, Mohammed Awad, Khetam Hadia, Ewais, Ahmed, Awad, Mohammed, Hadia, Khetam |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 16% |
| Lecturer | 3 | 16% |
| Student > Master | 3 | 16% |
| Lecturer > Senior Lecturer | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 37% |
| Engineering | 2 | 11% |
| Social Sciences | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 32% |