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 …
review aims at answering three basic questions on student modeling: what to model, how …
Applications of neuro fuzzy systems: A brief review and future outline
This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …
literature review of articles for the last decade (2002–2012) to explore how various NFS …
User models for adaptive hypermedia and adaptive educational systems
P Brusilovsky, E Millán - The adaptive web: methods and strategies of web …, 2007 - Springer
One distinctive feature of any adaptive system is the user model that represents essential
information about each user. This chapter complements other chapters of this book in …
information about each user. This chapter complements other chapters of this book in …
Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011
Implementing instructional interventions to accommodate learner differences has received
considerable attention. Among these individual difference variables, the empirical evidence …
considerable attention. Among these individual difference variables, the empirical evidence …
An e-learning recommendation approach based on the self-organization of learning resource
S Wan, Z Niu - Knowledge-Based Systems, 2018 - Elsevier
In e-learning, most content-based (CB) recommender systems provide recommendations
depending on matching rules between learners and learning objects (LOs). Such learner …
depending on matching rules between learners and learning objects (LOs). Such learner …
Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review
SG Essa, T Celik, NE Human-Hendricks - IEEE Access, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) approaches have been used in personalised adaptive education
systems to overcome the limitations of statically determined learning styles (LSs). These …
systems to overcome the limitations of statically determined learning styles (LSs). These …
Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text
MA Adebowale, KT Lwin, E Sanchez… - Expert Systems with …, 2019 - Elsevier
A phishing attack is one of the most significant problems faced by online users because of its
enormous effect on the online activities performed. In recent years, phishing attacks continue …
enormous effect on the online activities performed. In recent years, phishing attacks continue …
Automatic detection of learning styles: state of the art
A learning style describes the attitudes and behaviors, which determine an individual's
preferred way of learning. Learning styles are particularly important in educational settings …
preferred way of learning. Learning styles are particularly important in educational settings …
Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation
Intelligent education systems have enabled personalized learning (PL). In PL, students are
presented with educational contents that are consistent with their personal knowledge states …
presented with educational contents that are consistent with their personal knowledge states …
Intelligent cyber-phishing detection for online
Phishing attacks are on the increase, resulting in financial loss and theft of sensitive
information to online services and users. Anti-phishing approaches have concentrated on …
information to online services and users. Anti-phishing approaches have concentrated on …