Perbandingan Evaluasi Kernel SVM untuk Klasifikasi Sentimen dalam Analisis Kenaikan Harga BBM: Comparative Evaluation of SVM Kernels for Sentiment …

S Rabbani, D Safitri, N Rahmadhani… - … : Indonesian Journal of …, 2023 - journal.irpi.or.id
Abstract Kebijakan perubahan harga Bahan Bakar Minyak (BBM) oleh pemerintah pada
September 2022 lalu menimbulkan kontroversi pengguna sosial media termasuk Twitter …

Artificial intelligence for assessment and feedback to enhance student success in higher education

M Hooda, C Rana, O Dahiya, A Rizwan… - Mathematical …, 2022 - Wiley Online Library
The core focus of this review is to show how immediate and valid feedback, qualitative
assessment influence enhances students learning in a higher education environment. With …

Imbalanced classification methods for student grade prediction: A systematic literature review

SDA Bujang, A Selamat, O Krejcar, F Mohamed… - IEEE …, 2022 - ieeexplore.ieee.org
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …

Systematic review of recommendation systems for course selection

S Algarni, F Sheldon - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
Course recommender systems play an increasingly pivotal role in the educational
landscape, driving personalization and informed decision-making for students. However …

A comparative study on student performance prediction using machine learning

Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

Predictive modelling and analytics of students' grades using machine learning algorithms

YT Badal, RK Sungkur - Education and information technologies, 2023 - Springer
The outbreak of COVID-19 has caused significant disruption in all sectors and industries
around the world. To tackle the spread of the novel coronavirus, the learning process and …

[HTML][HTML] Analyzing students' academic performance using educational data mining

S Sarker, MK Paul, STH Thasin, MAM Hasan - Computers and Education …, 2024 - Elsevier
Abstract Educational Data Mining (EDM) is the process of extracting useful information and
knowledge from educational data. EDM identifies patterns and trends from educational data …

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 …

A machine learning approach to predicting academic performance in Pennsylvania's schools

S Chen, Y Ding - Social Sciences, 2023 - mdpi.com
Academic performance prediction is an indispensable task for policymakers. Academic
performance is frequently examined using classical statistical software, which can be used …

Performance and early drop prediction for higher education students using machine learning

V Christou, I Tsoulos, V Loupas, AT Tzallas… - Expert Systems with …, 2023 - Elsevier
A significant goal of modern universities is to provide high-quality education to their students
and reduce their failure rates. The early recognition of low-performance students that would …