Design of a cognitive knowledge representation model to assess the reasoning levels of primary school children
M Srivani, A Murugappan - Expert Systems with Applications, 2023 - Elsevier
Background and aim: In recent days, the research on student's intelligence level modelling
is a challenging Artificial Intelligence (AI) task, which gains more attraction because it …
is a challenging Artificial Intelligence (AI) task, which gains more attraction because it …
Big data classification: applications and challenges
In the era of Big Data, a massive amount of data is generated and collected, continually,
from various sources. To use these data for their optimum value, ie to uncover correlations …
from various sources. To use these data for their optimum value, ie to uncover correlations …
Learner's intention analysis to mitigate the cold start problem in personalized learning recommendation systems
S Pal, PKD Pramanik, P Choudhury - Multimedia Tools and Applications, 2024 - Springer
Understanding the learner's requirements and status is important for recommending relevant
and appropriate learning materials to the learner in personalized learning. For this purpose …
and appropriate learning materials to the learner in personalized learning. For this purpose …
Learner's cognitive state recognition based on multimodal physiological signal fusion
Y Li, Y Li, X He, J Fang, CY Zhou, C Liu - Applied Intelligence, 2025 - Springer
It is crucial to evaluate learning outcomes by identifying the cognitive state of the learner
during the learning process. Studies utilizing Electroencephalography (EEG) and other …
during the learning process. Studies utilizing Electroencephalography (EEG) and other …
LSTM-Based Top N Recommendation System using Cognitive Data
With the rapid increase in Social Web applications, a significant amount of research has
been dedicated to the analysis and development of personalized recommendations using …
been dedicated to the analysis and development of personalized recommendations using …
A personalised recommendation framework for ubiquitous learning system
The traditional e-learning has been developed into personalised and ubiquitous learning, in
which the learners find learning materials (LMs) that are suitable to their contextual …
which the learners find learning materials (LMs) that are suitable to their contextual …
[PDF][PDF] Using DEMATEL for Contextual Learner Modeling in Personalized and Ubiquitous Learning.
With the popularity of e-learning, personalization and ubiquity have become important
aspects of online learning. To make learning more personalized and ubiquitous, we propose …
aspects of online learning. To make learning more personalized and ubiquitous, we propose …
Enhanced metadata modelling and extraction methods to acquire contextual pedagogical information from e-learning contents for personalised learning systems
To make online learning systems (OLSs) effective, it is important to make sure that the
learners get the learning objects (LOs) according to their pedagogical suitability and …
learners get the learning objects (LOs) according to their pedagogical suitability and …
Learner question's correctness assessment and a guided correction method: enhancing the user experience in an interactive online learning system
In an interactive online learning system (OLS), it is crucial for the learners to form the
questions correctly in order to be provided or recommended appropriate learning materials …
questions correctly in order to be provided or recommended appropriate learning materials …