Articles

Learning to learn to expand freedom in choices

in Educational Psychology

• Carine Signoret

A review of the effect of the light environment of the VDT workspace on the “learning to learn” effect of video game training

in Perception Science

• Xiang Cheng
• Yonghong Yan
• Tao Hu
• Yinghui Lv
• Yue Zeng

Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks

in Neuromorphic Engineering

• Samuel Schmidgall
• Joe Hays

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn

• Alper Yegenoglu
• Anand Subramoney
• Thorsten Hater
• Cristian Jimenez-Romero
• Wouter Klijn
• Aarón Pérez Martín
• Michiel van der Vlag
• Michael Herty
• Abigail Morrison
• Sandra Diaz-Pier

How to Use Challenge-Based Learning for the Acquisition of Learning to Learn Competence in Early Childhood Preservice Teachers: A Virtual Archaeological Museum Tour in Spain

in Teacher Education

• Daniel Abril-López
• Dolores López Carrillo
• Pedro Miguel González-Moreno
• Emilio José Delgado-Algarra

Physical Activity Predicts Performance in an Unpracticed Bimanual Coordination Task

in Movement Science

• Matthieu P. Boisgontier
• Leen Serbruyns
• Stephan P. Swinnen

Selecting and defining transversal competences for higher education training design

in Digital Learning Innovations

• Meriem Khaled Gijón
• Inmaculada Ávalos Ruiz
• Belén de Rueda Villén
• Mercedes García de Quesada

A new approach to a wicked problem: development of a cross-sector community-centered learning network to tackle childhood food inequity

in Public Health and Nutrition

• Aaron M. Schuh
• Christopher Alexander
• Kristen Gasperetti
• Michelle C. Gorecki
• Kimberly Cutler
• Charles Hoffman
• Robert S. Kahn
• Chika Okano
• Carley L. Riley

Turning stories into learning journeys: the principles and methods of Immersive Education

in Educational Psychology

• Riccardo Brunetti
• Silvia Ferrante
• Anna Maria Avella
• Allegra Indraccolo
• Claudia Del Gatto

MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images

in Pulmonary Medicine

• Tianhu Zhao
• Yong Yue
• Hang Sun
• Jingxu Li
• Yanhua Wen
• Yudong Yao
• Wei Qian
• Yubao Guan
• Shouliang Qi

Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning

• Edmund T. Rolls

Using the fused graphical lasso to explore the motivational self-system after a multimedia self-regulated learning training: a brief research report

in Educational Psychology

• Sarah M. Wolff
• Jonathan C. Hilpert
• Matthew L. Bernacki
• Jeffrey A. Greene
• Christy Strong

LSnet: detecting and genotyping deletions using deep learning network

in Computational Genomics

• Junwei Luo
• Runtian Gao
• Wenjing Chang
• Junfeng Wang

Who can benefit from postmastectomy radiotherapy among HR+/HER2- T1-2 N1M0 breast cancer patients? An explainable machine learning mortality prediction based approach

in Cancer Endocrinology

• Long Jin
• Qifan Zhao
• Shenbo Fu
• Yuan Zhang
• Shuhan Wu
• Xiao Li
• Fei Cao

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure

in Educational Psychology

• Javier Fernandez-Rio
• Jose A. Cecchini
• Antonio Méndez-Gimenez
• David Mendez-Alonso
• Jose A. Prieto