Optimized RB-RNN: Development of hybrid deep learning for analyzing student's behaviours in online-learning using brain waves and chatbots

S Sageengrana, S Selvakumar, S Srinivasan - Expert Systems with …, 2024 - Elsevier
Background of the study With the development of the internet, e-learning is rapidly growing
in worldwide, which pave more attention to the students. Further, the learning materials like …

PMSIEMDL: Design of a Pattern analysis Model for identification of Student Inclination towards different Educational-fields via Multimodal Deep Learning Fusions

A Raipure, S Khandelwal - Journal of Electrical Systems, 2024 - search.proquest.com
Identification of student inclination towards different educational fields requires integration of
deep pattern learning models with temporal data analysis techniques. These techniques are …

[PDF][PDF] DESIGN OF AN AUGMENTED ENSEMBLE LEARNING MODEL FOR IMPROVING STUDENT BEHAVIOR ANALYSIS PERFORMANCE

RAH KHAN, AA RAIPURE, YK SHARMA… - Transactions - viit.ac.in
Student behaviour analysis is a multidisciplinary field which involves collection of relevant
student data, feature extraction & selection from that data, classification of selected data into …

[PDF][PDF] I Learning Ma Shari'a Gamific

S Pranata, H Suhada - instructor - academia.edu
Application of learning hafi memorizing students in a way that is fun made during the
process of considering can be applied to support the process of m method that creates …

La gestión institucional de las tecnologías de la información y comunicaciones en la Red 4-UGEL 2, Independencia, 2019

EG Huamán Alhuay - 2020 - repositorio.ucv.edu.pe
La presente tesis se enmarcó en la línea de investigación Gestión de Políticas Públicas. El
objetivo de la investigación fue determinar el nivel de la gestión institucional de las TIC en …