Supervised machine learning models for predicting student mathematics performance in Somaliland primary examinations 2023. [PDF]
Hassan MA +3 more
europepmc +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source
When Anger Strikes: Using AI Modelling to Understand How Negative Emotions Impact Performance in Digital Math Games. [PDF]
Zdravkovic Barber A +2 more
europepmc +1 more source
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
A Meta-Analysis of Mathematics Fact Fluency Interventions for Students With Mathematics Difficulties (MD). [PDF]
Douglas GP +4 more
europepmc +1 more source
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang +8 more
wiley +1 more source
Examining the infographic design instructional process in terms of prospective mathematics teachers' infographic design proficiency, self‑efficacy, and abilities in evaluating student errors: A model proposal. [PDF]
Usta N, Özkaya A, Karamık GA, Akın Y.
europepmc +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Effects of demographic variables on mathematics self-esteem, test anxiety, and achievement in adolescents: a Bayesian beta regression analysis. [PDF]
Nwoye NM +4 more
europepmc +1 more source

