Results 91 to 100 of about 57,451 (216)

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

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 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

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 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

Teachers' data literacy for learning analytics: a central predictor for digital data use in upper secondary schools. [PDF]

Educ Inf Technol (Dordr), 2023
Michos K, Schmitz ML, Petko D, Petko D.
europepmc   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera, Agnese Tamanti, Silvia Messina, Nicola Dall'Osto, Teresa Maltempo, Stefano Ziccardi, Matteo Foschi, Maria Grazia Piscaglia, Diana Ferraro, Francesco Crescenzo, Francesca Rossi, Albulena Bajrami, Sabrina Marangoni, Damiano Marastoni, Francesca Benedetta Pizzini, Maria Isabel Leite, Roberta Magliozzi, Patrick Waters, Massimiliano Calabrese, Jacqueline Palace, Ruth Geraldes   +20 more
wiley   +1 more source

Open data, private learners: a de-identified student activity and performance dataset for learning analytics. [PDF]

Sci Data
Tiukhova E, Van Landuyt D, Baesens B, Snoeck M.   +3 more
europepmc   +1 more source