Results 21 to 30 of about 157,006 (266)
: The study investigated the validation of a rating scale to measure cognitive load in science teacher education. The rating scale was used to measure three types of cognitive load in a new learning context with 81 undergraduate students enrolled in a ...
Venance Timothy +4 more
doaj +1 more source
Measurement of Cognitive Load in Instructional Research [PDF]
The results of two of our recent empirical studies were considered to assess the usefulness of subjective ratings and cardiovascular measures of mental effort in instructional research. Based on its reliability and sensitivity, the subjective rating-scale technique met the requirements to be useful in instructional research whereas the cardiovascular ...
Paas, Fred G.W.C. +2 more
openaire +3 more sources
Blur detection is unaffected by cognitive load [PDF]
Blur detection is affected by retinal eccentricity, but is it also affected by attentional resources? Research showing effects of selective attention on acuity and contrast sensitivity suggests that allocating attention should increase blur detection. However, research showing that blur affects selection of saccade targets suggests that blur detection ...
Loschky, Lester C. +5 more
openaire +3 more sources
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
wiley +1 more source
Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent and ...
Lucas Rizzo +3 more
doaj +1 more source
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
Time series classification is a challenging research area where machine learning and deep learning techniques have shown remarkable performance. However, often, these are seen as black boxes due to their minimal interpretability.
Ephrem Tibebe Mekonnen +4 more
doaj +1 more source
The evolution of cognitive load theory and its application to medical education
Cognitive Load Theory (CLT) has started to find more applications in medical education research. Unfortunately, misconceptions such as lower cognitive load always being beneficial to learning and the continued use of dated concepts and methods can result
Jimmie Leppink, Angelique van den Heuvel
doaj +1 more source
Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source
Computational Argumentation and Automatic Rule-Generation for Explainable Data-Driven Modeling
The creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance, and policy making. Rule-based systems are widely regarded as a
Luca Longo +3 more
doaj +1 more source

