[PDF][PDF] Learning style recognition using artificial neural network for adaptive user interface in e-learning

SV Kolekar, SG Sanjeevi… - 2010 IEEE International …, 2010 - researchgate.net
Traditionally e-learning systems are emphasized on the online content generation and most
of them fail in considering the requirements and learning styles of end user, while …

[图书][B] Innovative trends in personalized software engineering and information systems: the case of intelligent and adaptive e-learning systems

C Troussas, C Sgouropoulou - 2020 - books.google.com
This book, Innovative Trends in Personalized Software Engineering and Information
Systems–The Case of Intelligent and Adaptive E-learning Systems, studies the development …

[PDF][PDF] The design of a rule base for an e-learning recommendation system base on multiple intelligences

T Kaewkiriya, N Utakrit, M Tiantong - International Journal of …, 2016 - researchgate.net
 Abstract—The problem of e-learning systems, learners are given learning contents that do
not match individual aptitudes. This paper aims to design a rule base for recommendations …

Reinforcement Learning Approach for Adaptive e-Learning Based on Multiple Learner Characteristics

D Oyuga Anne, E Maina - Open Journal for Information …, 2021 - centerprode.com
We introduce a novel three stepwise model of adaptive e-learning using multiple learner
characteristics. We design a model of a learner attributes enlisting the study domain …

Static and dynamic user type identification in adaptive e-learning with unsupervised methods

C Lemnaru, AA Firte, R Potolea - 2011 IEEE 7th International …, 2011 - ieeexplore.ieee.org
A key factor in modern e-learning systems is the correct identification of the user learning
style, to provide appropriate content presentation to each individual user. Moreover, a …

Identifying the user typology for adaptive e-learning systems

F Trif, C Lemnaru, R Potolea - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
Adaptive e-learning systems are the newest paradigm in modern learning approaches. One
of the key factors in such systems is the correct and continuous identification of the user …

[PDF][PDF] Conceptual framework of a synthesized adaptive e-learning and e-mentoring system using VARK learning styles with data mining methodology

O Pantho, M Tiantong - International Journal of Computer Theory and …, 2015 - ijcte.com
Currently, e-learning systems are becoming more popular. This is because e-learning
systems provide learners freedom to study with unlimited time and at any location. But, most …

[PDF][PDF] Automatic student affective state detection from plain text

DO Anne, A Chepkemoi, E Maina - International Journal of …, 2021 - ir-library.ku.ac.ke
We explore the concept of automatic detection of affective state of a learner in an e learning
environment. We propose a model to detect the emotion from learners' text. We employ …

Desarrollo de una herramienta para la práctica del curso de matemáticas en plataformas educativas virtuales utilizando reconocimiento de emociones

RI Zúñiga Soto - tesis.pucp.edu.pe
El Perú atraviesa una crisis en su sistema educativo, a pesar de estar cerca de lograr la
universalización de la educación primaria, sector importante para el desarrollo escolar, los …

[PDF][PDF] Detecting and Modelling Stress Levels in E-Learning Environment Users

YM Lim - 2017 - dora.dmu.ac.uk
A modern Intelligent Tutoring System (ITS) should be sentient of a learner's cognitive and
affective states, as a learner's performance could be affected by motivational and emotional …