Results 121 to 130 of about 1,303,110 (322)
Deep auto encoders to adaptive E-learning recommender system
Everton Gomede +2 more
openalex +1 more source
Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
MOBILE LEARNING: CONTEXT ADAPTATION AND SCENARIO APPROACH
The paper proposes a model of an open architecture for component context-dependent systems of computer training to the needs of the software applications of intelligent learning environments and adaptive learning systems.
Vladimir V. Kureichik +2 more
doaj +1 more source
Adaptive Guidance: Enhancing Self-Regulation, Knowledge, and Performance in Technology-Based Training [PDF]
Considerable research has examined the effects of giving trainees control over their learning (Steinberg, 1977, 1989; Williams, 1993). The most consistent finding of this research has been that trainees do not make good instructional use of the control ...
Bell, Bradford S, Kozlowski, Steve W. J.
core +1 more source
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 +5 more
wiley +1 more source
AI-Enabled personalized learning ecology construction and its implications for prevocational education [PDF]
This paper discusses the construction of AI-enabled personalized learning ecology and its implications for pre-professional prospective education. With the rapid development of AI technology, the field of education is undergoing profound changes.
Su Qinqin
doaj +1 more source
Anticipated Fiscal Policy and Adaptive Learning [PDF]
We consider the impact of anticipated policy changes when agents form expectations using adaptive learning rather than rational expectations. To model this we assume that agents combine limited structural knowledge with a standard adaptive learning rule.
George W. Evans +2 more
core
Adaptive dictionary learning based on local configuration pattern for face recognition [PDF]
Dongmei Wei +5 more
openalex +1 more source
Adaptive Joint Distribution Learning
We develop a new framework for estimating joint probability distributions using tensor product reproducing kernel Hilbert spaces (RKHS). Our framework accommodates a low-dimensional, normalized and positive model of a Radon--Nikodym derivative, which we estimate from sample sizes of up to several millions, alleviating the inherent limitations of RKHS ...
Damir Filipović +2 more
openaire +2 more sources
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source

