A systematic review: machine learning based recommendation systems for e-learning

SS Khanal, PWC Prasad, A Alsadoon… - Education and Information …, 2020 - Springer
The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

[HTML][HTML] Learning from patient safety incidents in the emergency department: a systematic review

S Amaniyan, BO Faldaas, PA Logan… - The Journal of …, 2020 - Elsevier
Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …

Effects of higher education institutes' artificial intelligence capability on students' self-efficacy, creativity and learning performance

S Wang, Z Sun, Y Chen - Education and Information Technologies, 2023 - Springer
Artificial Intelligence (AI) has become an important technology affecting the development of
society and education, and it is crucial to explore AI to enhance students' creativity and …

Making online learning more satisfying: the effects of online-learning self-efficacy, social presence and content structure

JRN Lim, S Rosenthal, YJM Sim, ZY Lim… - Technology, Pedagogy …, 2021 - Taylor & Francis
This study examines the effects of instructor presence and online learning self-efficacy on
learning satisfaction, and how the effect of social presence may depend on content structure …

Personalisation methods in e‐learning‐A literature review

V Mikić, M Ilić, L Kopanja… - Computer Applications in …, 2022 - Wiley Online Library
Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

Dynamic group formation with intelligent tutor collaborative learning: a novel approach for next generation collaboration

IU Haq, A Anwar, IU Rehman, W Asif, D Sobnath… - IEEE …, 2021 - ieeexplore.ieee.org
Group Formation (GF) strongly influences the collaborative learning process in Computer-
Supported Collaborative Learning (CSCL). Various factors affect GF that include personal …

Individual differences and personalized learning: a review and appraisal

SY Chen, JH Wang - Universal Access in the Information Society, 2021 - Springer
Personalized learning allows students to pursue individual learning goals at their own pace.
Such a benefit is achieved by understanding each individual's needs. Hence, it is important …

E-learning based on the adaptive learning model: case study in Serbia

B Arsovic, N Stefanovic - Sādhanā, 2020 - Springer
Today's education faces many challenges related to learning and teaching efficiency,
effectiveness, and costs. Contemporary research shows that the learning environment with …

Incorporating student population differences for effective online education: A content-based review and integrative model

WH Money, BP Dean - Computers & Education, 2019 - Elsevier
The present study reviews and analyzes recent literature relevant to learning online in
higher education. This study applied a content-based method for collecting and evaluating …

Influence of learning styles on student performance in self-instructional courses

A Oliveira, V Spinola, D Garrido, MM Teixeira, C Salles… - Plos one, 2023 - journals.plos.org
This study aimed to analyze the learning style of dentistry students in self-instructional
courses to assist in pedagogical planning and to choose the most appropriate educational …