Results 131 to 140 of about 71,766 (218)

Teaching at scale: a mixed-methods study of team-based learning analytics to enable early support in medical education. [PDF]

BMC Med Educ
Sheader E, Donlan L, Allen C, Betteridge N, Dixon M, Gouldsborough I, Grady R, Kingston M, Kouskoff V, Parris K, Pocock T, Raza M, Shore P, Stafford N, Tournier C, Webb M, Smith MP.   +16 more
europepmc   +1 more source

Empowering Health Care Education Through Learning Analytics: In-depth Scoping Review. [PDF]

J Med Internet Res, 2023
Bojic I, Mammadova M, Ang CS, Teo WL, Diordieva C, Pienkowska A, Gašević D, Car J.   +7 more
europepmc   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

A privacy preserving synthetic learner dataset for learning analytics in technology enhanced higher education. [PDF]

Sci Rep
Agal S.
europepmc   +1 more source

Recent advances in Predictive Learning Analytics: A decade systematic review (2012-2022). [PDF]

Educ Inf Technol (Dordr), 2022
Sghir N, Adadi A, Lahmer M.
europepmc   +1 more source

Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez, Fareshte Erani, Katherine J. Bangen, David G. Coughlin, Douglas Galasko, Kelsey R. Thomas   +5 more
wiley   +1 more source

Machine learning-assisted abstract screening on learning analytics: a step-by-step tutorial. [PDF]

Syst Rev
Xu Z, Ma S, Zhuang X, Adeyemi AE, Kogut A.   +4 more
europepmc   +1 more source

Do teaching staff trust stakeholders and tools in learning analytics? A mixed methods study. [PDF]

Educ Technol Res Dev, 2023
Alzahrani AS, Tsai YS, Aljohani N, Whitelock-Wainwright E, Gasevic D.   +4 more
europepmc   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Using AI to forecast student dropout risk in technical education using a learning analytics approach. [PDF]

Sci Rep
Ovtšarenko O.
europepmc   +1 more source