An overview of supervised machine learning algorithm

V Gupta, VK Mishra, P Singhal… - 2022 11th International …, 2022 - ieeexplore.ieee.org
Machine learning is a subset of Artificial intelligence. Algorithms for machine learning
automatically learn from experience and improve from it without being explicitly …

Analisa Perbandingan Kinerja Algoritma C4. 5 Dan Algoritma K-Nearest Neighbors Untuk Klasifikasi Penerima Beasiswa

A Purwanto, HW Nugroho - Jurnal Teknoinfo, 2023 - ejurnal.teknokrat.ac.id
Penugasan beasiswa adalah masalah manajemen operasi yang dihadapi administrator
universitas, yang biasanya diselesaikan berdasarkan pengalaman pribadi administrator …

A Systematic Review of Big Data Driven Education Evaluation

L Lin, D Zhou, J Wang, Y Wang - SAGE Open, 2024 - journals.sagepub.com
The rapid development of artificial intelligence has driven the transformation of educational
evaluation into big data-driven. This study used a systematic literature review method to …

Feature signature discovery for autism detection: An automated machine learning based feature ranking framework

SG Jacob, MMBA Sulaiman… - Computational …, 2023 - Wiley Online Library
Autism spectrum disorder is the most used umbrella term for a myriad of neuro‐
degenerative/developmental conditions typified by inappropriate social behavior, lack of …

[HTML][HTML] Anomaly Detection in Student Activity in Solving Unique Programming Exercises: Motivated Students against Suspicious Ones

LA Demidova, PN Sovietov, EG Andrianova… - Data, 2023 - mdpi.com
This article presents a dataset containing messages from the Digital Teaching Assistant
(DTA) system, which records the results from the automatic verification of students' solutions …

A critical reflection on the affordances of web 3.0 and artificial intelligence in life sciences education

L Mnguni - Journal of Pedagogical Sociology and Psychology, 2023 - j-psp.com
Life Sciences Education has become increasingly important in today's rapidly changing
world, as it equips students with the knowledge and skills needed to tackle complex global …

Enhancing Human–Computer Interaction in Online Education: A Machine Learning Approach to Predicting Student Emotion and Satisfaction

AM Mutawa, S Sruthi - International Journal of Human–Computer …, 2024 - Taylor & Francis
Maintaining student engagement is pivotal in the rapidly evolving landscape of online
education. The factors that affect and predict students' satisfaction during online learning are …

The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search …

Y Rimal, N Sharma, A Alsadoon - Multimedia Tools and Applications, 2024 - Springer
Hyperparameters play a critical role in analyzing predictive performance in machine
learning models. They serve to strike a balance between overfitting and underfitting of …

[PDF][PDF] Deep learning in predicting high school grades: a quantum space of representation

R Costa-Mendes, F Cruz-Jesus… - Emerging Science …, 2022 - novaresearch.unl.pt
This paper applies deep learning to the prediction of Portuguese high school grades. A
deep multilayer perceptron and a multiple linear regression implementation are undertaken …

Student Performance Prediction Using Machine Learning Algorithms

E Ahmed - Applied Computational Intelligence and Soft …, 2024 - Wiley Online Library
Education is crucial for a productive life and providing necessary resources. With the advent
of technology like artificial intelligence, higher education institutions are incorporating …