The promises and challenges of artificial intelligence for teachers: A systematic review of research

I Celik, M Dindar, H Muukkonen, S Järvelä - TechTrends, 2022 - Springer
This study provides an overview of research on teachers' use of artificial intelligence (AI)
applications and machine learning methods to analyze teachers' data. Our analysis showed …

The use of artificial intelligence in higher education–Systematic review

F AlDhaen - COVID-19 Challenges to University Information …, 2022 - Springer
Artificial Intelligence (AI) has the potential to completely transform the life style in all aspects.
AI been more popular in the business world, but it is now finding its way into higher …

How resiliency and hope can predict stress of Covid-19 by mediating role of spiritual well-being based on machine learning

R Nooripour, S Hosseinian, AJ Hussain… - Journal of religion and …, 2021 - Springer
Nowadays, artificial intelligence (AI) and machine learning (ML) are playing a tremendous
role in all aspects of human life and they have the remarkable potential to solve many …

Continuous emotion recognition during music listening using EEG signals: A fuzzy parallel cascades model

F Hasanzadeh, M Annabestani, S Moghimi - Applied Soft Computing, 2021 - Elsevier
A controversial issue in artificial intelligence is human emotion recognition. This paper
presents a fuzzy parallel cascades (FPC) model for predicting the continuous subjective …

Random forest regression in predicting students' achievements and fuzzy grades

D Doz, M Cotič, D Felda - Mathematics, 2023 - mdpi.com
The use of fuzzy logic to assess students' knowledge is not a completely new concept.
However, despite dealing with a large quantity of data, traditional statistical methods have …

An intelligent machine learning-based sheath-free microfluidic impedance flow cytometer

M Annabestani, AM Shaegh… - … on Computer and …, 2020 - ieeexplore.ieee.org
This paper combines microfluidic impedance flow cytometers with Machine Learning (ML) to
introduce a new set of sheaths free microchannels that can estimate the size and number of …

Demographic factors affecting fuzzy grading: a hierarchical linear regression analysis

D Doz, D Felda, M Cotič - Mathematics, 2023 - mdpi.com
Several factors affect students' mathematics grades and standardized test results. These
include the gender of the students, their socio-economic status, the type of school they …

Eliminating back relaxation in large-deformable IPMC artificial muscles: A noise-assistive pattern-free electrode approach

M Annabestani, MH Sayad… - 2020 27th National …, 2020 - ieeexplore.ieee.org
One of the most critical disadvantages of Ionic Polymer Metal Composites (IPMCs) is their
Back Relaxation (BR) effect. The BR is an unwanted and slow counter-bending of IPMCs …

[HTML][HTML] Flexible evaluation of electrotherapy treatments for learning purposes

AJ Rueda, C Martínez-Cruz, Á Díaz-Fernández… - Expert Systems with …, 2023 - Elsevier
Computers are extensively used for training and simulating tasks that are hazardous in a
real-life situation or require expensive, delicate or difficult to access equipment. In the …

Mapping Student Performance With Employment Using Fuzzy C-Means

I Singh, S Sabitha, T Choudhury… - International Journal of …, 2020 - igi-global.com
Technical organisations are ranked based on performance indicators like resources,
students' intake, global reputation, and research activities. Student performance and …