Results 41 to 50 of about 1,201,092 (207)

Understanding secondary students’ continuance intention to adopt AI-powered intelligent tutoring system for English learning

open access: yesEducation and Information Technologies : Official Journal of the IFIP technical committee on Education, 2022
Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students’ intention to use ITSs in the language domain. This study
Aohua Ni, A. Cheung
semanticscholar   +1 more source

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Directed graphical models such as Bayesian nets are often used to implement intelligent tutoring systems able to interact in real-time with learners in a purely automatic way.
Alessandro Antonucci   +3 more
doaj   +1 more source

Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery

open access: yesJournal of ICT in Education, 2023
Intelligent Tutoring Systems (ITSs) are computer software designed to simulate or imitate a human tutor’s behavior and guidance. ITSs can be seen as personalized tutoring systems that arouse students’ learning enthusiasm. One of the important features of
Siti Khatijah Nor Abdul Rahim   +2 more
doaj   +1 more source

Workload perception in educational resource recommendation supported by artificial intelligence: a controlled experiment with teachers

open access: yesSmart Learning Environments
Researchers are increasingly interested in enabling teachers to monitor and adapt gamification design in the context of intelligent tutoring systems (ITSs).
Alexandre Machado   +7 more
doaj   +1 more source

Development of an Intelligent Tutoring System Using Bayesian Networks and Fuzzy Logic for a Higher Student Academic Performance

open access: yesApplied Sciences, 2020
In this experimental study, an intelligent tutoring system called the fuzzy Bayesian intelligent tutoring system (FB-ITS), is developed by using artificial intelligence methods based on fuzzy logic and the Bayesian network technique to adaptively support
Meltem Eryılmaz, Afaf Adabashi
doaj   +1 more source

Improved modeling of intelligent tutoring systems using ant colony optimization

open access: yesEducation and Information Technologies : Official Journal of the IFIP technical committee on Education, 2017
Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization.
Mahin Rastegarmoghadam, K. Ziarati
semanticscholar   +1 more source

An Intelligent framework for Blended Learning

open access: yesRevista Colombiana de Computación, 2018
Personalized education contributes to the motivation of the students and improves student performance. Some tools such as the Intelligent Tutoring Systems have been proposed to this purpose with excellent results. However, most of the existing works have
Armando Ordóñez   +4 more
doaj   +1 more source

Knowledge tracing for adaptive learning in a metacognitive tutor

open access: yesOpen Education Studies, 2022
Adaptive learning is provided in intelligent tutoring systems (ITS) to enable learners with varying abilities to meet their expected learning outcomes.
Carlon May Kristine Jonson   +1 more
doaj   +1 more source

A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems [PDF]

open access: yes, 2009
Domain experts should provide relevant domain knowledge to an Intelligent Tutoring System (ITS) so that it can guide a learner during problemsolving learning activities. However, for many ill-defined domains, the domain knowledge is hard to define explicitly.
arxiv   +1 more source

Visualizing Intelligent Tutor Interactions for Responsive Pedagogy [PDF]

open access: yes
Intelligent tutoring systems leverage AI models of expert learning and student knowledge to deliver personalized tutoring to students. While these intelligent tutors have demonstrated improved student learning outcomes, it is still unclear how teachers might integrate them into curriculum and course planning to support responsive pedagogy.
arxiv   +1 more source

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