Mining Student Information System Records to Predict Students’ Academic Performance
An increasing interest has arisen during the past decade to identify the most important factors influencing students’ performance in higher education, especially by using predictive data mining techniques. This field of research is usually identified as educational data mining. Educational Data Mini...
Saved in:
| Main Author: | ABU SAA, AMJED TARIQ MOHAMMAD (author) |
|---|---|
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://bspace.buid.ac.ae/handle/1234/1254 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Factors Afecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques
by: Abu Saa, Amjed
Published: (2019) -
Education Data Mining to Predict Student Exam Grades in Vocational Institutes
by: Saleh, Ashjan Ahmad
Published: (2015) -
Predict Student Success and Performance factors by analyzing educational data using data mining techniques
by: ATIF, MUHAMMAD
Published: (2022) -
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
by: SHWEDEH, FATEN
Published: (2018) -
The Relation Between Respiratory & Acute Coronary Syndrome Using Data Mining Techniques
by: DOULEH, HANI ABDULLAH YOSEF ABU
Published: (2018)