Results 81 to 90 of about 10,919,435 (208)
Self-Directed Learning in Italy: Problems and Possibilities
This article presents the evolution of the idea of self-directed learning in Italy through three major phases. At the end of the twentieth century, self-directed learning became identified with techniques of self-instruction for adults unable to ...
BIASIN, CHIARA
core
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
THE USE OF SELF-ASSESSMENT TO FACILITATE SELF-DIRECTED LEARNING IN MATHEMATICS BY HONG KONG SECONDARY SCHOOL STUDENTS [PDF]
In a world that is constantly changing, the most important skill to acquire is learning how to learn. One of the aims of the education reform in Hong Kong is to help students to develop self-directed learning capabilities, leading to whole-person ...
YU, TAO,WANG
core
Exploiting computerized adaptive testing for self-directed learning
Self-directed learning enables learners to take responsibility for and to design their own learning-related activities. Frequent assessments facilitate self-directed learners to monitor learning regularly.
Wen-Chung Wang +5 more
core +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Self-directed Learning for Higher Education MOOC
Promotional brochure for the Self-directed Learning for Higher Education ...
core +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source

