A comprehensive survey on deep learning techniques in educational data mining

Y Lin, H Chen, W Xia, F Lin, Z Wang, Y Liu - arXiv preprint arXiv …, 2023 - arxiv.org
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

[PDF][PDF] Analysis and Prediction of Student Performance Based on Moodle Log Data using Machine Learning Techniques.

C Kaensar, W Wongnin - Int. J. Emerg. Technol. Learn., 2023 - academia.edu
During the COVID-19 Pandemic, many universities in Thailand were mostly locked down
and classrooms were also transformed into a fully online format. It was challenging for …

Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning

C Kaensar, W Wongnin - Eurasia Journal of Mathematics, Science and …, 2023 - ejmste.com
Recently, many global universities have faced high student failure and early dropout rates
reflecting on the quality of education. To tackle this problem, forecasting student success as …

Design of a Machine Learning Model to Predict Student Attrition.

T Fauszt, K Erdélyi, D Dobák… - … Journal of Emerging …, 2023 - search.ebscohost.com
Higher education institutions are facing a major issue with student dropout rates, which is a
global phenomenon that affects a significant portion of enrolled students, particularly those …

Towards an Adaptive Learning Model using Optimal Learning Paths to Prevent MOOC Dropout.

EM Smaili, M Daoudi, I Oumaira… - International …, 2023 - search.ebscohost.com
Currently, massive open online courses (MOOCs) are experiencing major developments
and are becoming increasingly popular in distance learning programs. The goal is to break …

Mobile Recommendation System to Provide Emotional Support and Promote Active Aging for Older Adults in the Republic of Panama.

N Navarro, D Cedeno-Moreno… - … of Interactive Mobile …, 2024 - search.ebscohost.com
Aging brings with it physical and cognitive changes that can lead to health problems such as
chronic disease and cognitive impairment. Technology is a fundamental ally in improving …

A Decision-Making Platform for Educational Content Assessment Within a Stakeholder-Driven Digital Educational Ecosystem.

Z Nurbekova, G Aimicheva… - International …, 2023 - search.ebscohost.com
The paper discusses the features of the implementation of a digital decision-making platform
for evaluating educational content as part of a stakeholder-driven digital educational …

A Classification and Retrieval System for Learning Resources of MOOC

Y Zhang - International Journal of Emerging Technologies in …, 2023 - learntechlib.org
In this information age, massive open online courses (MOOCs) have become an integral
component of modern education. These courses encompass a wide range of resources …

Analysis and Measurement of Tuberculin Skin Test Induration Using Deep Neural Network.

OA Akinola, JF Orimolade, AS Afolabi… - … Journal of Online & …, 2024 - search.ebscohost.com
Abstract The World Health Organization (WHO) posited that tuberculosis (TB) is among the
world's ten greatest causes of mortality. Early case identification and timely treatment could …

Implementing a Risk Assessment System of Electric Welders' Muscle Injuries for Working Posture Detection with AI Technology.

C Ruengdech, S Howimanporn… - … Journal of Online & …, 2024 - search.ebscohost.com
Maintaining health and safety is essential for workers' quality of life, and thus, this has
become one of the main priorities for industrial enterprises. Electric welders want required …