A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

NS Raj, VG Renumol - Journal of Computers in Education, 2022 - Springer
In personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …

A systematic literature review on personalised learning in the higher education context

RI Fariani, K Junus, HB Santoso - Technology, Knowledge and Learning, 2023 - Springer
Personalised learning (PL) is learning in which the stage of learning and the instructional
approach are optimised for the needs of each learner. The concept of PL allows e-learning …

Application of innovation diffusion theory to the E-learning process: higher education context

C Pinho, M Franco, L Mendes - Education and Information Technologies, 2021 - Springer
This empirical study aims to identify the factors influencing the use of Moodle as a Learning
Management Systems (LMS) in the academic context. To fulfil this objective, a quantitative …

A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis

H Ezaldeen, R Misra, SK Bisoy, R Alatrash… - Journal of Web …, 2022 - Elsevier
This research proposes a novel framework named Enhanced e-Learning Hybrid
Recommender System (ELHRS) that provides an appropriate e-content with the highest …

[HTML][HTML] Review and classification of content recommenders in E-learning environment

J Joy, RVG Pillai - Journal of King Saud University-Computer and …, 2022 - Elsevier
E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …

Smart learning objects retrieval for E-Learning with contextual recommendation based on collaborative filtering

S Tahir, Y Hafeez, MA Abbas, A Nawaz… - Education and Information …, 2022 - Springer
With the increase in Technology Enhanced Learning (TEL), the effective retrieval and
availability of Learning Objects (LOs) for course designers is a significant concern. Text …

A reinforcement learning algorithm for automated detection of skin lesions

UA Usmani, J Watada, J Jaafar, IA Aziz, A Roy - Applied Sciences, 2021 - mdpi.com
Skin cancers are increasing at an alarming rate, and detection in the early stages is
essential for advanced treatment. The current segmentation methods have limited labeling …

[PDF][PDF] Personalised learning with AI: Implications for Ignatian pedagogy

R Baskara - International Journal of Educational Best Practices, 2023 - repository.usd.ac.id
Artificial intelligence (AI) has the potential to transform education by enabling personalized
learning experiences, fostering collaboration and communication, and cultivating critical …

Multi-step medical image segmentation based on reinforcement learning

Z Tian, X Si, Y Zheng, Z Chen, X Li - Journal of Ambient Intelligence and …, 2022 - Springer
Image segmentation technology has made a remarkable effect in medical image analysis
and processing, which is used to help physicians get a more accurate diagnosis. Manual …

[HTML][HTML] Conceptual and theoretical foundations of personalised learning

EF Zeer, OV Krezhevskikh - The Education and science journal, 2022 - edscience.ru
Introduction. The urgency of the problem related to personalised learning in future teacher
training is associated with the creation of an optimal range of choices in the conditions of …