Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Perbandingan Algoritma Klasifikasi Data Mining untuk Penelusuran Minat Calon Mahasiswa Baru

B Budiman - NUANSA INFORMATIKA, 2021 - journal.uniku.ac.id
Masa pandemi AMIK HASS mengalami kesulitan dalam menentukan calon mahasiswa
baru. Sehingga dalam upaya menarik minat masyarakat Bagian Marketing telah …

Additive explanations for student fails detected from course prerequisites

O Talbi, N Chelik, A Ouared… - … International Conference of …, 2021 - ieeexplore.ieee.org
Learning analytics is a multi-disciplinary approach based upon data processing, technology-
learning enhancement, educational data mining, and visualization that has attracted much …

Predicting Student Failure using Peer-based Evaluation and Ratings

V Hegde, N Surendran… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Detecting student performance in programming is essential for educators to refine their
teaching methodologies and for students to gain insight into their strengths and areas …

Student Performance Analysis to Identify the Students at Risk of Failure

D Javed, NZ Jhanjhi, F Ashfaq, NA Khan… - … on Emerging Trends …, 2024 - ieeexplore.ieee.org
One of the most important qualities of a developed civilization is its educational structure.
Higher education institutions often struggle to determine why their pupils failed or what …

Logistic Regression and Random Forest Comparison in Predicting Students' Qualification Based on Students' Half-Semester Performance

DR Nugroho, N Idris, K Kurniawan… - … on Information and …, 2023 - ieeexplore.ieee.org
The main aim of this paper is to utilize machine learning algorithms for predicting and
identifying students who are more likely to fail in university examinations at an early stage …

A Comparison of Machine Learning Techniques for Yemeni Universities Admission Examinations Predictions

S Al-Hagree, M Al-Sanabani… - … Internet of Things …, 2024 - ieeexplore.ieee.org
Admissions examinations are crucial in shaping students' academic and career paths.
Machine learning (ML) offers a promising avenue for transforming the assessment process …

Predicting students' academic achievement using methods of educational data mining

S Alturki - 2022 - madoc.bib.uni-mannheim.de
The tremendous growth in educational data forms the need to have meaningful information
produced from it. Educational Data Mining (EDM) has become an exciting research area that …