Results 231 to 240 of about 384,312 (331)

Beyond performance: Emotions before and after semi‐high‐stakes mathematics testing among school‐aged students

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background Previous research has shown that testing differs significantly from other classroom activities and is associated with heightened negative emotions and lower levels of positive emotions. However, relatively little is known about students' emotions surrounding testing, particularly in higher‐stakes assessment settings. Aims This study
Reetta Kyynäräinen   +5 more
wiley   +1 more source

A topological exploration of convergence/divergence of human‐mediated and algorithmically mediated pedagogy

open access: yesBritish Journal of Educational Technology, EarlyView.
We explore a topological model that situates teachers' agency as a constituent element within the convergent and divergent dynamics at the intersection of human‐mediated and algorithmically mediated pedagogies. Ubiquitous AI in education is designed to simulate, emulate and automate human processes and behaviours through datafication.
Keith Turvey, Norbert Pachler
wiley   +1 more source

A novel index to measure pre‐planning in the Tower of London task: Test–retest reliability and known‐group validity

open access: yesBritish Journal of Psychology, EarlyView.
Abstract The Tower of London (TOL) is a planning task frequently used in clinical settings and research. Planning and execution times are the most common outcome variables despite yielding lower effect sizes in clinical group comparisons and lower test–retest reliability than planning accuracy. Here, it is proposed that planning time be analysed not in
Lena V. Schumacher   +5 more
wiley   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier   +5 more
wiley   +1 more source

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