Retention factors in STEM education identified using learning analytics: a systematic review

C Li, N Herbert, S Yeom, J Montgomery - Education Sciences, 2022 - mdpi.com
Student persistence and retention in STEM disciplines is an important yet complex and multi-
dimensional issue confronting universities. Considering the rapid evolution of online …

Comprehensive evaluations of student performance estimation via machine learning

AS Mohammad, MTS Al-Kaltakchi, J Alshehabi Al-Ani… - Mathematics, 2023 - mdpi.com
Success in student learning is the primary aim of the educational system. Artificial
intelligence utilizes data and machine learning to achieve excellence in student learning. In …

Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

Y Liu, J Yang, X Chen, J Yao, L Li… - International Journal of …, 2024 - Taylor & Francis
Passive microwave (PM) remote sensing have been extensively used for snow depth (SD)
estimation. However, current SD products from traditional PM data fail to capture the …

Research on student performance prediction based on stacking fusion model

F Yu, X Liu - Electronics, 2022 - mdpi.com
Online learning is gradually becoming popular with the continuous development of Internet
technology and the rapid development of educational informatization. It plays a key role in …

Predictive Modelling with the Open University Learning Analytics Dataset (OULAD): A Systematic Literature Review

L Jin, Y Wang, H Song, HJ So - International Conference on Artificial …, 2024 - Springer
Higher education has experienced an unparalleled digital transformation, driven by the
widespread adoption of online learning with massive users, which has risen to an explosive …

[HTML][HTML] Chronic disease prediction using the common data model: development study

C Lee, B Jo, H Woo, Y Im, RW Park, CH Park - JMIR AI, 2022 - ai.jmir.org
Background Chronic disease management is a major health issue worldwide. With the
paradigm shift to preventive medicine, disease prediction modeling using machine learning …

A Data Feature Extraction Method Based on the NOTEARS Causal Inference Algorithm

H Wang, J Li, G Zhu - Applied Sciences, 2023 - mdpi.com
Extracting effective features from high-dimensional datasets is crucial for determining the
accuracy of regression and classification models. Model predictions based on causality are …

Evaluating Boosting Algorithms for Academic Performance Prediction in E-Learning Environments

NSKMK Tirumanadham… - … on Intelligent and …, 2024 - ieeexplore.ieee.org
As educational institutions and platforms get more advanced, predicting academic success
is becoming a lot easier. The goal of this research is to find the best boosting algorithm for …

Check for updates Deep Learning Based Automated Smart Cart With Inventory Management For Sustainable Development Using IoT

A Jain, I Nagrath, A Bankawat, S Arora… - … Machine Learning, AI …, 2023 - books.google.com
Sale is the driving force for any type of business and finding a solution to automate this
system opens the pathway to ease day to day struggles, this system must consider two most …

Deep Learning Based Automated Smart Cart With Inventory Management For Sustainable Development Using IoT

A Jain, I Nagrath, A Bankawat, S Arora… - … through Machine Learning …, 2023 - Springer
Sale is the driving force for any type of business and finding a solution to automate this
system opens the pathway to ease day to day struggles, this system must consider two most …