Student modeling approaches: A literature review for the last decade

K Chrysafiadi, M Virvou - Expert Systems with Applications, 2013 - Elsevier
This paper constitutes a literature review on student modeling for the last decade. The
review aims at answering three basic questions on student modeling: what to model, how …

A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms

K Colchester, H Hagras, D Alghazzawi… - Journal of Artificial …, 2017 - sciendo.com
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 …

State of the art of learning styles-based adaptive educational hypermedia systems (LS-BAEHSs)

A Al-Azawei, A Badii - International Journal of Computer …, 2014 - centaur.reading.ac.uk
The notion that learning can be enhanced when a teaching approach matches a learner's
learning style has been widely accepted in classroom settings since the latter represents a …

Automatic detection of learning styles for an e-learning system

E Özpolat, GB Akar - Computers & Education, 2009 - Elsevier
A desirable characteristic for an e-learning system is to provide the learner the most
appropriate information based on his requirements and preferences. This can be achieved …

Intelligent user profiling

S Schiaffino, A Amandi - Artificial Intelligence An International Perspective …, 2009 - Springer
User profiles or user models are vital in many areas in which it is essential to obtain
knowledge about users of software applications. Examples of these areas are intelligent …

Intelligent agent supported personalization for virtual learning environments

D Xu, H Wang - Decision Support Systems, 2006 - Elsevier
Virtual learning environments (VLEs) are computer-based online learning environments,
which provide opportunities for online learners to learn at the time and location of their …

Effects of intelligent feedback on online learners' engagement and cognitive load: The case of research ethics education

JCY Sun, SJ Yu, CH Chao - Educational Psychology, 2019 - Taylor & Francis
The current study developed an intelligent learning environment for online education of
research ethics and investigated how encouragement and warning intelligent feedback …

PeRSIVA: An empirical evaluation method of a student model of an intelligent e-learning environment for computer programming

K Chrysafiadi, M Virvou - Computers & Education, 2013 - Elsevier
In this paper an evaluation method for assessing the effectiveness, accuracy and validity of a
student model was presented. Our method is called PeRSIVA and is a combination of the …

A proposal for student modeling based on ontologies and diagnosis rules

J Clemente, J Ramírez, A De Antonio - Expert Systems with Applications, 2011 - Elsevier
The advances in the educational field and the high complexity of student modeling have
provoked it to be one of the aspects more investigated in Intelligent Tutoring Systems (ITSs) …

Cluster analysis in personalized e-learning systems

D Zakrzewska - Intelligent systems for knowledge management, 2009 - Springer
Personalized e-learning system should be tailored into student needs, which usually differ
even among learners, who attend the same course and have similar technical skills. In the …