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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
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
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Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery
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
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
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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
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
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
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
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A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems [PDF]
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]
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