Results 91 to 100 of about 6,178,397 (360)

MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning

IEEE Access
In the dynamic landscape of contemporary education, the evolution of teaching strategies such as blended learning and flipped classrooms has highlighted the need for efficient and effective generation of multiple-choice questions (MCQs). To address this,
Ching Nam Hang, Chee Wei Tan, Pei-Duo Yu
semanticscholar   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Building Summit Basecamp: Year 1 [PDF]

, 2017
This case study shares what's been learned in the first year of Summit Basecamp, an ambitious effort to support public schools across the United States in implementing personalized learning.
Jeffrey Cohen, Matt Wilka
core  

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration

Advances in Multimedia, 2022
In order to meet the personalized needs of different students and provide students with a variety of intelligent learning strategies and learning content, this research is aimed at the current lack of intelligent function design in the network teaching ...
Zhifang Qian
doaj   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

Augmented teachers: K–12 teachers’ needs for artificial intelligence’s complementary role in personalized learning

Journal of Research on Technology in Education
Empowering K-12 teachers for personalized learning using artificial intelligence (AI) is an open challenge. AI systems often fall short of meeting the needs of teachers, hindering the educational process or even causing conflicts. To bridge this gap, our
Kyoungwon Seo, Mina Yoo, Samuel Dodson, Sung-Hee Jin   +3 more
semanticscholar   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions

, 2018
Visual attributes, which refer to human-labeled semantic annotations, have gained increasing popularity in a wide range of real world applications. Generally, the existing attribute learning methods fall into two categories: one focuses on learning user ...
Cao, Xiaochun, Huang, Qingming, Xu, Qianqian, Yang, Zhiyong   +3 more
core   +1 more source

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy [PDF]

, 2023
Jianqing Zhang, Hua Yang, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan   +6 more
openalex   +1 more source