Results 171 to 180 of about 99,515 (314)

Learning analytics: state of the art. [PDF]

Int J Interact Des Manuf, 2022
Hernández-de-Menéndez M, Morales-Menendez R, Escobar CA, Ramírez Mendoza RA.   +3 more
europepmc   +1 more source

Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park, Emily J. Koubek, Richard Beare, Lynn Ang, Brian C. Callaghan, Rodica Pop‐Busui, Eva L. Feldman, Evan L. Reynolds   +7 more
wiley   +1 more source

Supporting a bidirectional feedback process for self-assessment tasks in a digital learning environment

International Journal of Educational Technology in Higher Education
Bidirectional Feedback may benefit students by facilitating learning success and goal achievement and can help teachers address students’ needs and/or assess and improve learning material.
Regina Kasakowskij, Joerg M. Haake
doaj   +1 more source

Learning analytics in support of inclusiveness and disabled students: a systematic review. [PDF]

J Comput High Educ, 2023
Khalil M, Slade S, Prinsloo P.
europepmc   +1 more source

The Big Five: Addressing Recurrent Multimodal Learning Data Challenges [PDF]

, 2018
The analysis of multimodal data in learning is a growing field of research, which has led to the development of different analytics solutions. However, there is no standardised approach to handle multimodal data.
Di Mitri, Daniele, Schneider, Jan, Drachsler, Hendrik, Specht, Marcus, Drachsler, Hendrik; id_orcid   +4 more
core  

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Editorial: Learning Analytics - Trends and Challenges. [PDF]

Front Artif Intell, 2022
Klašnja-Milićević A, Ivanović M, Vesin B, Satratzemi M, Wasson Lillehaug B.   +4 more
europepmc   +1 more source

Learning Analytics Dashboards [PDF]

, 2017
Klerkx, Joris, Verbert, Katrien, Duval, Erik   +2 more
openaire   +2 more sources

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners' Affective States. [PDF]

Sensors (Basel), 2023
Hasnine MN, Nguyen HT, Tran TTT, Bui HTT, Akçapınar G, Ueda H.   +5 more
europepmc   +1 more source