[HTML][HTML] Handling Big Data in Education: A Review of Educational Data Mining Techniques for Specific Educational Problems

YB Ampadu - AI, Computer Science and Robotics Technology, 2023 - intechopen.com
In the era of big data, where the amount of information is growing exponentially, the
importance of data mining has never been greater. Educational institutions today collect and …

Max Depth Impact on Heart Disease Classification: Decision Tree and Random Forest

R Oktafiani, A Hermawan, D Avianto - Jurnal RESTI (Rekayasa …, 2024 - jurnal.iaii.or.id
Results in heart disease classification that are inaccurate and have low accuracy can
endanger the patient's life. Some parameters in the algorithm model also influence …

Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments

H Li, S Zhang, S Lee, JE Lee… - … of the 17th …, 2024 - educationaldatamining.org
With the support of digital learning platforms, synchronous and collaborative learning has
become a prominent learning paradigm in mathematics education. Computer-Supported …

Topic Classification of Quranic Verses in English Translation Using Word Centrality Measurement

AS Aiman, KM Lhaksmana - Jurnal RESTI (Rekayasa Sistem dan …, 2022 - jurnal.iaii.or.id
Every Muslim in the world believes that the Quran is a miracle and the words of God
(Kalamullah) revealed to the Prophet Muhammad SAW to be conveyed to humans. The …

[PDF][PDF] Significance of Education Data Mining in Student's Academic Performance Prediction and Analysis

S Hussain, S Rehman, S Raza… - … Journal of Innovations …, 2023 - researchgate.net
Data Mining (DM) is method for determining hidden patterns and relationships within large
datasets using statistical and computational methods [1]. It includes obtaining meaningful …

A Deep Learning-Enabled Approach for Real-Time Monitoring of Learner Activities in Adaptive E-Learning Environments

HR Ahamed, DK Hanirex - 2024 7th International Conference …, 2024 - ieeexplore.ieee.org
A DL-enabled strategy might improve learner outcomes in settings that are adaptable to
online instruction. Before and during assesements, it closely monitored important metrics …

Capturing Students' Dynamic Learning Pattern Based on Activity Logs Using Hierarchical Clustering

KA Laksitowening, MD Prasetya… - … (Rekayasa Sistem dan …, 2023 - jurnal.iaii.or.id
Students can have various characteristics and learning patterns. By understanding the
characteristics and learning pattern of individual students, teachers can provide …

Impact of The Covid-19 Pandemic on Student Learning Styles: Naïve Bayes and Decision Tree Classification in Education

Z Kurniawan, R Tiaharyadini - Jurnal Sisfokom (Sistem …, 2024 - jurnal.atmaluhur.ac.id
The Covid-19 pandemic significantly changed education with social distancing and changes
in the learning environment. In this study, one strong reason for the significance of the …

Accurate Prediction and Analysis of College Students\Performance from Online Learning Behavior Data

J Yang - IEIE Transactions on Smart Processing & Computing, 2023 - dbpia.co.kr
In order to improve accuracy in the prediction of college students' performance, a collection
of students' online learning behaviors is used as input for bidirectional long short-term …

Implementation Of Text Mining And Pattern Discovery With Naive Bayes Algorithm For Classification Of Text Documents

N Lestari, OS Riza, R Ardinal - Digital Zone: Jurnal …, 2023 - pustaka-psm.unilak.ac.id
Classification of text documents can be managed manually by using human-made
classification rules. However, as many text document files exist today, the application of …