Results 101 to 110 of about 500,703 (219)

Knowledge environment for personalizing e-learning [PDF]

, 2007
Chao Boon Teo
openalex   +1 more source

Importance-aware personalized learning for early risk prediction using static and dynamic health data. [PDF]

J Am Med Inform Assoc, 2021
Tan Q, Ye M, Ma AJ, Yip TC, Wong GL, Yuen PC.   +5 more
europepmc   +1 more source

A Construction Method for Personalized e-Learning System Using Dynamic Estimations of Item Parameters and Examinees' Abilities [PDF]

, 2008
Yong-Sun Oh
openalex   +1 more source

Concept–Effect Relationship Weighting Based on Frequency of Concept’s Co-Occurrence for Developing Personalized Remedial Learning Path

IEEE Access
Notably, a personalized learning path is advantageous for students who need remedial assistance due to their struggle to master concepts and poor exam performance.
Yulia Wahyuningsih, Arif Djunaidy, Daniel Siahaan   +2 more
doaj   +1 more source

Differences in personalized learning practice and technology use in high- and low-performing learner-centered schools in the United States. [PDF]

Educ Technol Res Dev, 2021
Lee D, Huh Y, Lin CY, Reigeluth CM, Lee E.   +4 more
europepmc   +1 more source

A Personalized English Vocabulary Learning System Based on Cognitive Abilities Related to Foreign Language Proficiency [PDF]

, 2010
Daiyoung Kwon
openalex   +1 more source

Tran-GCN: A Transformer-Enhanced Graph Convolutional Network for Person Re-Identification in Monitoring Videos [PDF]

arXiv
Person Re-Identification (Re-ID) has gained popularity in computer vision, enabling cross-camera pedestrian recognition. Although the development of deep learning has provided a robust technical foundation for person Re-ID research, most existing person Re-ID methods overlook the potential relationships among local person features, failing to ...
arxiv  

Meta-synthesis of school leadership competencies to support learner-centered, personalized education

Frontiers in Education
This study analyzes the corpus of research on how K–12 school leaders foster deeper learning by creating learner-centered, personalized learning opportunities for students.
Jayson W. Richardson, Sahar Khawaja
doaj   +1 more source

Personalized client-edge-cloud hierarchical federated learning in mobile edge computing

Journal of Cloud Computing: Advances, Systems and Applications
Mobile edge computing aims to deploy mobile applications at the edge of wireless networks. Federated learning in mobile edge computing is a forward-looking distributed framework for deploying deep learning algorithms in many application scenarios.
Chunmei Ma, Xiangqian Li, Baogui Huang, Guangshun Li, Fengyin Li   +4 more
doaj   +1 more source

Personalized Content Provision for Virtual Learning Environments via the Semantic Web [PDF]

, 2012
Lipeng Wen, Mike Brayshaw, Neil Gordon
openalex   +1 more source