Online at-risk student identification using RNN-GRU joint neural networks

Y He, R Chen, X Li, C Hao, S Liu, G Zhang, B Jiang - Information, 2020 - mdpi.com
Although online learning platforms are gradually becoming commonplace in modern
society, learners' high dropout rates and serious academic performance require more …

Early prediction of student engagement in virtual learning environments using machine learning techniques

NS Raj, R VG - E-Learning and Digital Media, 2022 - journals.sagepub.com
Learning analytics aims at helping the students to attain their learning goals. The predictions
in learning analytics are made to enhance the effectiveness of educational interferences …

Transformer encoder model for sequential prediction of student performance based on their log activities

SS Kusumawardani, SAI Alfarozi - IEEE Access, 2023 - ieeexplore.ieee.org
Learning management systems (LMSs) have been used massively due to the growing
utilization of distance learning. This advancement has led to increased educational data that …

A novel methodology using RNN+ LSTM+ ML for predicting student's academic performance

A Kukkar, R Mohana, A Sharma, A Nayyar - Education and Information …, 2024 - Springer
In the profession of education, predicting students' academic success is an essential
responsibility. This study introduces a novel methodology for predicting students' pass or fail …

The Use of Machine Learning Algorithms in the Classification of Sound: A Systematic Review

AO Ekpezu, F Katsriku, W Yaokumah… - International Journal of …, 2022 - igi-global.com
This study is a systematic review of literature on the classification of sounds in three domains-
Bioacoustics, Biomedical acoustics, and Ecoacoustics. Specifically, 68 conferences and …

[PDF][PDF] Kajian Penggunaan Data Log Mahasiswa untuk Berbagai Permasalahan Analisis Pembelajaran

SS Kusumawardani, SAI Alfarozi - Jurnal Nasional Teknik Elektro …, 2020 - academia.edu
An online learning system is a very crucial thing nowadays to prevent the spread of COVID-
19 virus. However, this system is very difficult to maintain student motivation and …

OULAD Learners' Withdrawal Prediction Framework

M Jawthari, V Stoffa - Recent Innovations in Computing: Proceedings of …, 2022 - Springer
Nowadays, web-based courses are popular as students can learn at their convenience and
according to their free time. One advantage is the availability of study materials that can be …

Predicting student performance based on their interaction activities in a learning management system using machine learning method

SS Kusumawardani, SAI Alfarozi… - … Technology in the …, 2023 - taylorfrancis.com
Learning Management System (LMS) is one of the essential tools for learning in the modern
day. LMS manages all learning materials to help the student learning process, including …

The analysis of the use of Quizizz as an evaluation tool for chemistry learning

D Handayani - Education Technology in the New Normal: Now …, 2023 - taylorfrancis.com
Learning carried out in the current industrial 4.0 era is technology-based, which is included
in the measurement of evaluation tools. One of the applications used for this evaluation …

[PDF][PDF] A TRUST MODEL AND EVALUATION MECHANISM BASED ON ARTIFACT FOR COMPOSITE SERVICE

J LU, Y LI - scientificbulletin.upb.ro
Composite Service contains complex business logic and data interaction, the construction of
trust model is restricted by the business process model. While the traditional process …