A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms
The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …
fact that the learning process is different for each and every learner. In order to provide …
A parametrized comparative analysis of performance between proposed adaptive and personalized tutoring system “seis tutor” with existing online tutoring system
Face-to-face tutoring offers a learning environment that best suits the learner's preferences
(learning styles) and gras** levels (learning levels). This cognitive intelligence has been …
(learning styles) and gras** levels (learning levels). This cognitive intelligence has been …
An Application of Fuzzy Analytic Hierarchy Process (FAHP) for Evaluating Students' Project.
A Çebi, H Karal - Educational Research and Reviews, 2017 - ERIC
In recent years, artificial intelligence applications for understanding the human thinking
process and transferring it to virtual environments come into prominence. The fuzzy logic …
process and transferring it to virtual environments come into prominence. The fuzzy logic …
FuzzyQoI model: A fuzzy logic-based modelling of users' quality of interaction with a learning management system under blended learning
Learning management systems (LMSs) in higher education institutions (HEIs) provide the
potential for rich learning environments built on social constructivist theories under the …
potential for rich learning environments built on social constructivist theories under the …
Adaptive user interfaces for intelligent e-Learning: issues and trends
Abstract Adaptive User Interfaces have a long history rooted in the emergence of such
eminent technologies as Artificial Intelligence, Soft Computing, Graphical User Interface …
eminent technologies as Artificial Intelligence, Soft Computing, Graphical User Interface …
Inducing fuzzy models for student classification
O Nykänen - Journal of Educational Technology & Society, 2006 - JSTOR
We report an approach for implementing predictive fuzzy systems that manage capturing
both the imprecision of the empirically induced classifications and the imprecision of the …
both the imprecision of the empirically induced classifications and the imprecision of the …
An adaptive fuzzy logic based system for improved knowledge delivery within intelligent E-Learning platforms
E-learning involves the computer and network-enabled transfer of skills and knowledge. The
recent years have witnessed an increased interest in intelligent E-Learning platforms that …
recent years have witnessed an increased interest in intelligent E-Learning platforms that …
[PDF][PDF] Users-centric adaptive learning system based on interval type-2 fuzzy logic for massively crowded E-learning platforms
Technological advancements within the educational sector and online learning promoted
portable data-based adaptive techniques to influence the developments within …
portable data-based adaptive techniques to influence the developments within …
An interval type-2 fuzzy logic based system for customised knowledge delivery within pervasive e-learning platforms
E-learning involves the computer and network-enabled transfer of skills and knowledge. The
internet has become a central core to the educative environment experienced by learners …
internet has become a central core to the educative environment experienced by learners …
Computational state space model for intelligent tutoring of students in nursing subjects
Due to population ageing and the increase of chronic diseases, personnel in the nursing
and health management sector is of high demand. Intelligent tutoring systems (ITS) can …
and health management sector is of high demand. Intelligent tutoring systems (ITS) can …