Results 91 to 100 of about 1,780,354 (311)
Data-Driven Methodologies in a Digital Learning Environment for Mathematics
Mathematics is undoubtedly one of the school disciplines in which students generally have the most significant difficulties. Numerous studies in Mathematics education have shown that the causes of disciplinary learning difficulties are the acquisition ...
Elisa Corino +2 more
doaj +1 more source
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Data-driven school improvement linking data and learning /
Titre de l'écran-titre (visionné le 31 jan. 2012)Comprend des réf. bibliogr. et un index.Data-driven decision making : an introduction / Ellen B. Mandinach & Margaret Honey -- A conceptual framework for data-driven decision making / Ellen B.
Mandinach, Ellen Beth. +2 more
core
Model-driven description and validation of composite learning content [PDF]
Authoring of learning content for courseware systems is a complex activity requiring the combination of a range of design and validation techniques. We introduce the CAVIAr courseware models allowing for learning content description and validation. Model-
Pahl, Claus, Melia, Mark
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Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
The Social and Decision Analytics Laboratory (SDAL) of the Biocomplexity Institute of Virginia Tech received a planning grant from the Laura and John Arnold Foundation (LJAF) to develop a strategy for a national community learning network.
Keller, Sallie A.
core
Data-driven combinatorial optimization
Tong, GuangmoCombinatorial optimization problems, particularly those within the NP-hard and NP-complete classes, pose significant challenges due to their believed intractability in polynomial time.
Samizadeh, Mina
core +1 more source
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization
Developing data-driven models has found successful applications in varying engineering problems. In capacitive devices like deionization and supercapacitors, there exists a potential to apply this data-driven machine learning (ML) model in optimizing it ...
Revati, Kumar +2 more
core +1 more source

