Artificial intelligence and machine learning approaches in digital education: A systematic revision

H Munir, B Vogel, A Jacobsson - Information, 2022 - mdpi.com
The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …

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 …

[PDF][PDF] Adaptivity in learning management systems focussing on learning styles

S Graf - 2007 - sgraf.athabascau.ca
Learning management systems (LMSs) such as WebCT, Blackboard, and Moodle are
commonly and successfully used in e-education. While they focus on supporting teachers in …

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 …

A software architecture perspective about Moodle flexibility for supporting empirical research of teaching theories

M Campo, A Amandi, JC Biset - Education and Information Technologies, 2021 - Springer
Moodle represents a great contribution to the educational world since it provides an evolving
platform for Virtual Learning Management Systems (VLMS) that became a standard de facto …

Model Detecting Learning Styles with Artificial Neural Network.

MS Hasibuan, LE Nugroho, PI Santosa - Journal of Technology and Science …, 2019 - ERIC
Currently the detection of learning styles from the external aspect has not produced optimal
results. This research tries to solve the problem by using an internal approach. The internal …

Students' learning style detection using tree augmented naive Bayes

LX Li, SS Abdul Rahman - Royal Society open science, 2018 - royalsocietypublishing.org
Students are characterized according to their own distinct learning styles. Discovering
students' learning style is significant in the educational system in order to provide adaptivity …

Dynamic learner profiling and automatic learner classification for adaptive e-learning environment

KR Premlatha, B Dharani, TV Geetha - Interactive Learning …, 2016 - Taylor & Francis
E-learning allows learners individually to learn “anywhere, anytime” and offers immediate
access to specific information. However, learners have different behaviors, learning styles …

A Student Learning Style Auto-Detection Model in a Learning Management System

AB Rashid, RRR Ikram, Y Thamilarasan… - … , Technology & Applied …, 2023 - etasr.com
Learning style plays an important role in enabling students to have an efficient learning
process. This paper proposes an auto-detection model of student learning styles in learning …

[HTML][HTML] Brief review of educational applications using data mining and machine learning

AB Urbina Nájera, J Calleja Mora - Revista electrónica de …, 2017 - scielo.org.mx
The large amounts of data used nowadays have motivated research and development in
different disciplines in order to extract useful information with a view to analyzing it to solve …