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How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Education SciencesCognitive load theory (CLT) has driven numerous empirical studies for over 30 years and is a major theme in many of the most cited articles published between 1988 and 2023.
Amedee Marchand Martella +2 more
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Learning Landmarks by Exploiting Social Media
, 2010 This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropriately location-tagged from social media. By analyzing spatial distributions of text tags from Flickr's geotagged photos, we identify thousands of tags that likely refer to ...
Chia-Kai Liang +5 more
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Using virtual global landmark to improve incidental spatial learning
Scientific Reports, 2022 To reduce the decline of spatial cognitive skills caused by the increasing use of automated GPS navigation, the virtual global landmark (VGL) system is proposed to help people naturally improve their sense of direction.
Jia Liu +2 more
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Space Science Research in Africa: Publication Trends, Citation Analysis, and Collaborative Patterns
Earth and Space ScienceContent assessment of research metrics plays a pivotal role in the evaluation of scientific productivity globally, especially in a selected field and region.
Babatunde O. Adebesin +9 more
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Informed Machine Learning with Knowledge Landmarks
CoRRInformed Machine Learning has emerged as a viable generalization of Machine Learning (ML) by building a unified conceptual and algorithmic setting for constructing models on a unified basis of knowledge and data. Physics-informed ML involving physics equations is one of the developments within Informed Machine Learning.
Chuyi Dai +4 more
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, 2023 Recently, heatmap regression methods based on 1D landmark representations have shown prominent performance on locating facial landmarks. However, previous methods ignored to make deep explorations on the good potentials of 1D landmark representations for sequential and structural modeling of multiple landmarks to track facial landmarks. To address this
Shi Yin +7 more
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From domain-landmark graph learning to problem-landmark graph generation
CoRRLandmarks have long played a pivotal role in automated planning, serving as crucial elements for improving the planning algorithms. The main limitation of classical landmark extraction methods is their sensitivity to specific planning tasks. This results in landmarks fully tailored to individual instances, thereby limiting their applicability across ...
Cristian Pérez-Corral +2 more
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Royal Society Open ScienceSpatial learning is vital in foraging ecology. Many hymenopteran insects are adept spatial foragers that rely on visual cues contained within broader wide-field scenes for central place foraging from a central nest.
P. A. Moura +2 more
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Frontiers in Behavioral Neuroscience, 2014 Bees use visual memories to find the spatial location of previously learnt food sites. Characteristic learning flights help acquiring these memories at newly discovered foraging locations where landmarks - salient objects in the vicinity of the goal ...
Marcel eMertes +3 more
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, 2016 We investigated how humans use multiple landmarks to locate a goal. Participants searched for a hidden goal location along a line between two distinct landmarks on a computer screen. On baseline trials, the location of the landmarks and goal varied, but the distance between each of the landmarks and the goal was held constant, with one landmark always ...
Mou, Weimin +4 more
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