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[HTML][HTML] Optimization and scalability of educational platforms: Integration of artificial intelligence and cloud computing
J Govea, E Ocampo Edye, S Revelo-Tapia… - Computers, 2023 - mdpi.com
The intersection between technology and education has taken on unprecedented relevance,
driven by the promise of transforming teaching and learning through advanced digital tools …
driven by the promise of transforming teaching and learning through advanced digital tools …
Predicting student performance in online learning: a multidimensional time-series data analysis approach
Z Shou, M **e, J Mo, H Zhang - Applied sciences, 2024 - mdpi.com
As an emerging teaching method, online learning is becoming increasingly popular among
learners. However, one of the major drawbacks of this learning style is the lack of effective …
learners. However, one of the major drawbacks of this learning style is the lack of effective …
Explainable machine learning prediction for the academic performance of deaf scholars
Deaf and Hard of Hearing (DHH) students encounter obstacles in higher education due to
language and communication challenges. Although research aims to improve their …
language and communication challenges. Although research aims to improve their …
[PDF][PDF] Student Satisfaction Classification Algorithm Using the Minority Synthetic Oversampling Technique
Abstract—This study is based on the university students' opinions on the social network
Twitter, to learn the teaching performance in the context of virtual learning using sentiment …
Twitter, to learn the teaching performance in the context of virtual learning using sentiment …
[PDF][PDF] Utilizing Interaction Metrics in a Virtual Learning Environment for Early Prediction of Students' Academic Performance
A plethora of data on students' activities and interactions is acquired through the use of
virtual learning environments. The analysis of gathered data and the prediction of …
virtual learning environments. The analysis of gathered data and the prediction of …
[PDF][PDF] Aplicación de Técnicas de Interpretabilidad de Redes Neuronales en el Análisis del Rendimiento Académico en Entornos de Aprendizaje Virtuales
P Barquín Madariaga - 2025 - repositorio.comillas.edu
Bachelors Thesis Proposal Page 1 Bachelors Thesis Proposal Modeling and Interpretation
of Student Performance in Virtual Learning Platforms with Neural Networks Paz Barquın …
of Student Performance in Virtual Learning Platforms with Neural Networks Paz Barquın …
[TRÍCH DẪN][C] Isolating variable effects in supervised machine learning illustrated in educational data mining
RLC SILVA FILHO - 2024 - Universidade Federal de …