[PDF][PDF] Design and implementation of machine learning algorithms in automatic grading of students' assignments

D Chen, F Xu - Journal of Electrical Systems, 2024 - pdfs.semanticscholar.org
This study introduces machine learning methods for automatically grading students'
assignments, catering to the changing demands of education in the digital age. By utilizing …

[PDF][PDF] Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing Loan Prediction

R Muzayanah, AD Lestari, J Jumanto… - Scientific Journal of …, 2024 - journal.unnes.ac.id
Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing
Loan Prediction Page 1 Scientific Journal of Informatics Vol. 11, No. 1, Feb 2024 p-ISSN …

Study regarding the influence of a student's personality and an LMS usage profile on learning performance using machine learning techniques

JR Rico-Juan, C Cachero, H Macià - Applied Intelligence, 2024 - Springer
Academic performance (AP) is crucial for lifelong success. Unfortunately, many students fail
to meet expected academic benchmarks, leading to altered career paths or university …

A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens' employability

MC Bas, VJ Bolós, ÁE Prieto… - Applied …, 2025 - Springer
This study examines the impact of lifelong learning on the professional lives of employed
and unemployed individuals. Lifelong learning is a crucial factor in securing employment or …

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 …

[PDF][PDF] A Proposal for Selecting the Most Value-Aligned Preferences in Decision-Making Using Agreement Solutions.

A López-García - ICAART (1), 2024 - scitepress.org
Decision-making is mostly subjected to conflict of interest. To solve such a concern, we
propose a methodology to generate agreement solutions that determine the most value …

PENERAPAN METODE DATA MINING UNTUK PREDIKSI DINI KEGAGALAN MAHASISWA MENGGUNAKAN ALGORITMA DECISION TREE

A Fauzi - SPIRIT, 2024 - jurnal.stmik-yadika.ac.id
Kompleksitas permasalahan yang terdapat pada lingkungan Perguruan Tinggi yang dialami
oleh Mahasiswa menyebabkan beberapa kemungkinan buruk seperti mahasiswa lulus tidak …

[PDF][PDF] A Machine Learning Stacked Classifiers Role in Higher Education Student Retention and Academic Success

MA Nadim, E Marsico - Book of Abstracts, 2024 - air.unimi.it
2 Methods From Tinto's Dropout Theory with EVT holistic approach, our main focus is on
finalized attributes that can improve control and responsiveness in Machine Learning …