The transition from intelligent to affective tutoring system: a review and open issues

MA Hasan, NFM Noor, SSBA Rahman… - IEEE Access, 2020 - ieeexplore.ieee.org
The swelling use of computerized learning, accompanied by the rapid growth of information
technology has become a surge of interest in the research community. Consequently …

Design and implementation of discrete Jaya and discrete PSO algorithms for automatic collaborative learning group composition in an e-learning system

N Gavrilovic, T Sibalija, D Domazet - Applied Soft Computing, 2022 - Elsevier
This paper presents the design and implementation of two discrete metaheuristic algorithms
for automatic student collaborative group creation in an e-learning system by grouping …

Computer‐aided diagnosis of COVID‐19 disease from chest x‐ray images integrating deep feature extraction

S Aziz, MU Khan, A Rehman, Z Tariq… - Expert Systems, 2022 - Wiley Online Library
Abstract The novel coronavirus (COVID‐19) has an enormous impact on the daily lives and
health of people residing in more than 200 nations. This article proposes a deep learning …

Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment

Y Vivek, V Ravi, PR Krishna - Cluster Computing, 2023 - Springer
Extant sequential wrapper-based feature subset selection (FSS) algorithms are not scalable
and yield poor performance when applied to big datasets. Hence, to circumvent these …

Coreference resolution improves educational knowledge graph construction

T Wang, H Li - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
An educational knowledge graph provides students and teachers with detailed knowledge
organization and a clear concept structure by extracting knowledge points and relationships …

Assessment of text coherence using an ontology‐based relatedness measurement method

G Giray, MO Ünalır - Expert Systems, 2020 - Wiley Online Library
This paper proposes a novel method for assessing text coherence. Central to this approach
is an ontology‐based representation of text, which captures the level of relatedness between …

[PDF][PDF] Generating Intelligent Remedial Materials with Genetic Algorithms and Concept Maps.

CC Lin, CC Pan - Intelligent Automation & Soft Computing, 2022 - cdn.techscience.cn
This study proposes an intelligent remedial learning framework to improve students' learning
effectiveness. Basically, this framework combines a genetic algorithm with a concept map in …

Intelligent Detection Method of Spoken English Mispronunciation Based on Machine Learning

Z Zhou - 2021 IEEE International Conference on Industrial …, 2021 - ieeexplore.ieee.org
In oral English testing, to improve the intelligent detection ability of oral pronunciation errors,
an intelligent detection method of oral English pronunciation errors based on machine …

A Prototype System of Search: Finding Short Material for Science Education in Long and High-Definition Documentary Videos

T Wang, Y Liu, Z Liu, M Zhang, J Liu, Y Zhu - Artificial Intelligence …, 2020 - Springer
High-definition (HD) video material for science education is always welcomed in elementary
or secondary schools. It not only helps teachers to convey concepts but also impresses …

The journal of knowledge engineering special issue on WorldCist'17—fifth world conference on information systems and technologies.

Á Rocha, S Anwar - Expert Systems, 2019 - search.ebscohost.com
An introduction is presented on how cognitive and affective aspects can influence the
outcome of the group decision‐making process; analysis of data trust through triangulation …