Enhancing self-regulated learning: a comparison of medical students' self-assessment and faculty evaluations on communication skills in simulated patient interviews. [PDF]
Akan H +4 more
europepmc +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Implementing Self-Regulated Learning in Classrooms: Connecting What Primary School Teachers Think and Do Through Video-Based Observations and Interviews. [PDF]
Backers L, Van Keer H.
europepmc +1 more source
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
Measurement Invariance of Self-Regulated Learning Perception Scale in Medical Students. [PDF]
Delibalta B +2 more
europepmc +1 more source
This study presents a machine‐learning framework entitled MERLIN that infers the microanatomical localization of macrophages from single‐cell transcriptomic data in structured organs such as the kidney and brain. Applying this method to existing datasets from models of acute kidney injury and diabetic nephropathy uncovered spatially resolved insights ...
Junping Yin +18 more
wiley +1 more source
A qualitative systematic review on AI empowered self-regulated learning in higher education. [PDF]
Lan M, Zhou X.
europepmc +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
A latent profile analysis for teacher education students' learning: an overview of competencies in self-regulated learning. [PDF]
Schel J, Drechsel B.
europepmc +1 more source
Nurturing self-regulating learning
Self-regulated learning (SRL) refers to learners setting goals and actively managing their cognition, emotion, motivation, and behavior to achieve them. SRL benefits academic performance and lifelong learning, making it a key educational goal—especially in elementary education, where SRL skills are still developing and malleable.
openaire +1 more source

