Factors Afecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques
Predicting the students’ performance has become a challenging task due to the increas ing amount of data in educational systems. In keeping with this, identifying the factors afecting the students’ performance in higher education, especially by using predictive data mining techniques, is still in sh...
Saved in:
| Main Author: | Abu Saa, Amjed (author) |
|---|---|
| Other Authors: | Al‑Emran, Mostafa (author), Shaalan, Khaled (author) |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://bspace.buid.ac.ae/handle/1234/2784 https://doi.org/10.1007/s10758-019-09408-7. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mining Student Information System Records to Predict Students’ Academic Performance
by: ABU SAA, AMJED TARIQ MOHAMMAD
Published: (2018) -
The Relation Between Respiratory & Acute Coronary Syndrome Using Data Mining Techniques
by: DOULEH, HANI ABDULLAH YOSEF ABU
Published: (2018) -
Education Data Mining to Predict Student Exam Grades in Vocational Institutes
by: Saleh, Ashjan Ahmad
Published: (2015) -
Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
by: Khashan, Deena Younis Abo
Published: (2014) -
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
by: AL HAMMADI, SUMAYYA ABDULLA
Published: (2022)