Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning
In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …
methods to monitor and improve student experiences. Emotions play a crucial role in …
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …
attention as an integral part of intelligent education. China, the United States, the European …
An adaptable and personalized framework for top-N course recommendations in online learning
In recent years, the proliferation of Massive Open Online Courses (MOOC) platforms on a
global scale has been remarkable. Learners can now meet their learning demands with the …
global scale has been remarkable. Learners can now meet their learning demands with the …
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection
In the era of big data, the demand for multivariate time series prediction has surged, drawing
increased attention to feature selection and neural networks in machine learning. However …
increased attention to feature selection and neural networks in machine learning. However …
emoLearnAdapt: A new approach for an emotion-based adaptation in e-learning environments
In e-learning environments, most adaptive systems do not consider the learner's emotional
state when recommending activities for learning difficulties, blockages, or demotivation. In …
state when recommending activities for learning difficulties, blockages, or demotivation. In …
A personalized course recommendation model integrating multi-granularity sessions and multi-type interests
Y Liu, Y Dong, C Yin, C Chen, R Jia - Education and Information …, 2024 - Springer
The open online course (MOOC) platform has seen an increase in usage, and there are a
growing number of courses accessible for people to select. An effective method is urgently …
growing number of courses accessible for people to select. An effective method is urgently …
A deep learning based approach for classifying tweets related to online learning during the Covid-19 pandemic
KI Senadhira, RAHM Rupasingha… - Education and Information …, 2024 - Springer
The majority of educational institutions around the world have switched to online learning
due to the COVID-19 pandemic. Since continuing education has become important during …
due to the COVID-19 pandemic. Since continuing education has become important during …
SES-Net: A Novel Multi-Task Deep Neural Network Model for Analyzing E-learning Users' Satisfaction via Sentiment, Emotion, and Semantic
S Sandiwarno, Z Niu, AS Nyamawe - International Journal of …, 2024 - Taylor & Francis
Understanding users' satisfaction is fundamental for enhancing the effectiveness and
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …
Personality-driven experience storage and retrieval for sentiment classification
The existing methods for sentiment classification normally ignore that the past experiences
retrieved by users under particular situations would affect their sentiment expressions …
retrieved by users under particular situations would affect their sentiment expressions …
Recommendation system for movies using improved version of som with hybrid filtering methods
Many industries uses recommendation systems (RS) to iden-tify product recommendations
when users actively participate on e-commerce sites. Recently, massive growth in both …
when users actively participate on e-commerce sites. Recently, massive growth in both …