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 …

Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021

MA Chaudhry, E Kazim - AI and Ethics, 2022 - Springer
In the past few decades, technology has completely transformed the world around us.
Indeed, experts believe that the next big digital transformation in how we live, communicate …

Systematic literature review of STEM self-study related ITSs

A Alabdulhadi, M Faisal - Education and Information Technologies, 2021 - Springer
A simulator-based Intelligent Tutoring System (ITS) is a computer system that is made to
provide students with a learning experience that is both customizable to a student's needs …

[PDF][PDF] A hybrid machine learning model for grade prediction in online engineering education

Z Kanetaki, C Stergiou, G Bekas, C Troussas… - Int. J. Eng …, 2022 - academia.edu
Imposed and exclusively online learning, caused by COVID-19, revealed research
challenges, eg curricula reformation and data collection. With this pool of data, this research …

Fuzzy logic for refining the evaluation of learners' performance in online engineering education

A Krouska, C Troussas, C Sgouropoulou - European Journal of …, 2019 - ej-eng.org
Intelligent tutoring systems have been widely used for optimizing the educational process by
creating a studentcentered learning environment. As a matter of fact, an integral part of …

ATTENDEE: an AffecTive Tutoring system based on facial EmotioN recognition and heaD posE Estimation to personalize e-learning environment

M Pourmirzaei, GA Montazer, E Mousavi - Journal of Computers in …, 2023 - Springer
In recent years, the main problem in e-learning has shifted to personalization of learning
environment by Intelligent Tutoring Systems (ITSs). Therefore, by designing personalized …

Recognizing multidimensional engagement of e-learners based on multi-channel data in e-learning environment

J Yue, F Tian, KM Chao, N Shah, L Li, Y Chen… - IEEE …, 2019 - ieeexplore.ieee.org
“Lack of supervision” is a particularly challenging problem in E-learning or distance learning
environments. A wide range of research efforts and technologies have been explored to …

Generalisable sensor-free frustration detection in online learning environments using machine learning

MM Rahman, R Ollington, S Yeom… - User Modeling and User …, 2024 - Springer
Learning can generally be categorised into three domains, which include cognitive
(thinking), affective (emotions or feeling) and psychomotor (physical or kinesthetic). In the …

Enhancing Inclusivity: Exploring AI Applications for Diverse Learners

S Hadinezhad, S Garg, R Lindgren - Trust and Inclusion in AI-Mediated …, 2024 - Springer
Inclusive education seeks to provide equal educational opportunities for all students,
including individuals with disabilities. However, there are several challenges associated …

[PDF][PDF] Students' characteristics of student model in intelligent programming tutor for learning programming: a systematic literature review

R Thinakaran, S Chuprat - International Journal of Advanced …, 2022 - eprints.utm.my
This study describes preliminary results of a research related to Intelligent Programming
Tutor (IPT) which is derived from Intelligent Tutoring System (ITS). The system architecture …