Personalized recommender system for e-Learning environment

S Benhamdi, A Babouri, R Chiky - Education and Information Technologies, 2017 - Springer
Traditional e-Learning environments are based on static contents considering that all
learners are similar, so they are not able to respond to each learner's needs. These systems …

Personalized online learning resource recommendation based on artificial intelligence and educational psychology

X Wei, S Sun, D Wu, L Zhou - Frontiers in psychology, 2021 - frontiersin.org
The objective of the study is to explore an effective way for providing students with the
appropriate learning resources in the remote education scenario. Artificial intelligence (AI) …

[PDF][PDF] Deep learning-based recommendation: Current issues and challenges

R Fakhfakh, AB Ammar, CB Amar - International Journal of …, 2017 - researchgate.net
Due to the revolutionary advances of deep learning achieved in the field of image
processing, speech recognition and natural language processing, the deep learning gains …

Recommender systems for an enhanced mobile e-learning

O Vélez-Langs, I Caicedo-Castro - … 2019–Late Breaking Papers: 21st HCI …, 2019 - Springer
In the last years we have been witnesses of the increasing use of on-line educational
systems known as e-learning. Every year there are more teaching centers, both public and …

User modeling on communication characteristics using machine learning in computer-supported collaborative multiple language learning

M Virvou, E Alepis, C Troussas - 2012 IEEE 24th International …, 2012 - ieeexplore.ieee.org
Towards the creation of a multiple language learning environment which supports and
enhances collaboration among its students we propose an approach that uses user …

Un modelo de recomendación de protocolos experimentales basado en el contexto de uso del usuario

JFM Fernández, JAG Luna - Scientia et Technica, 2022 - dialnet.unirioja.es
 Resumen—En este artículo se presenta un modelo de recomendación de protocolos
experimentales basado en el contexto de uso del usuario. Como caso de estudio se …

A computational tool to analyze the evolution of student learning

CR Cervi, LA Brock, R Galante… - EDULEARN13 …, 2013 - library.iated.org
Currently, information technology, communication and interaction are important allies of the
learning process. Increasingly, teachers and students are close to resources such as tablets …

[PDF][PDF] ADAPTIVE LEARNING MODEL FOR LEARNING COMPUTATIONAL THINKING THROUGH EDUCATIONAL ROBOTIC

NN JAMAL - 2021 - eprints.utm.my
Computational thinking (CT) has been promoted worldwide by educational systems and is
an essential skill for technological citizens. In delivering CT, various kinds of educational …

A conception for use of user profile to prediction learning effects in Intelligent Tutoring Systems

A Kozierkiewicz-Hetmańska… - 2015 IEEE 2nd …, 2015 - ieeexplore.ieee.org
Intelligent Tutoring Systems (ITS) offer adaptivity to user abilities, personal character trait,
learning styles and preferences. The user modelling is one of the major factors that can …

Effective Data Collaborative Strain Using RecTree Algorithm

RR Mukiri, BS Kumar, BVV Prasad - Proceedings of International …, 2019 - papers.ssrn.com
We develop an efficient synergistic sifting technique, called RecTree (which represents RE
Commendation Tree) that tends to the adaptability issue with a partition and-vanquish …