AIMC Topic: Learning
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An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model.
Scientific reports
Jun 17, 2024
Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students' engagement with AI courses remains a challenge. This study addresses this gap by extending the technology acceptance model (TAM...
An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning.
Materials horizons
Jun 17, 2024
Organic neuromorphic platforms have recently received growing interest for the implementation and integration of artificial and hybrid neuronal networks. Here, achieving closed-loop and learning/training processes as in the human brain is still a maj...
Experiment-free exoskeleton assistance via learning in simulation.
Nature
Jun 12, 2024
Exoskeletons have enormous potential to improve human locomotive performance. However, their development and broad dissemination are limited by the requirement for lengthy human tests and handcrafted control laws. Here we show an experiment-free meth...
Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data.
PloS one
Jun 5, 2024
Our study explores whether lifelong learning is associated with the subjective wellbeing among the elderly in Singapore. Through a primary survey of 300 individuals aged 65 and above, we develop a novel index to capture three different aspects of sub...
Bio-inspired multimodal learning with organic neuromorphic electronics for behavioral conditioning in robotics.
Nature communications
Jun 4, 2024
Biological systems interact directly with the environment and learn by receiving multimodal feedback via sensory stimuli that shape the formation of internal neuronal representations. Drawing inspiration from biological concepts such as exploration a...
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks.
PLoS computational biology
Jun 3, 2024
Striking progress has been made in understanding cognition by analyzing how the brain is engaged in different modes of information processing. For instance, so-called synergistic information (information encoded by a set of neurons but not by any sub...
The educational impact of technology-enhanced learning in regional anaesthesia: a scoping review.
British journal of anaesthesia
May 31, 2024
BACKGROUND: Effective training in regional anaesthesia (RA) is paramount to ensuring widespread competence. Technology-based learning has assisted other specialties in achieving more rapid procedural skill acquisition. If applicable to RA, technology...
Investigation of Motor Learning Effects Using a Hybrid Rehabilitation System Based on Motion Estimation.
Sensors (Basel, Switzerland)
May 29, 2024
Upper-limb paralysis requires extensive rehabilitation to recover functionality for everyday living, and such assistance can be supported with robot technology. Against such a background, we have proposed an electromyography (EMG)-driven hybrid rehab...
Evidence-Based Learning Strategies in Medicine Using AI.
JMIR medical education
May 24, 2024
Large language models (LLMs), like ChatGPT, are transforming the landscape of medical education. They offer a vast range of applications, such as tutoring (personalized learning), patient simulation, generation of examination questions, and streamlin...
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data.
Nature computational science
May 24, 2024
Skill acquisition is a key area of research in cognitive psychology as it encompasses multiple psychological processes. The laws discovered under experimental paradigms are controversial and lack generalizability. This paper aims to unearth the laws ...
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