Defining the Science of Learning: A scoping review.

Trends Neurosci Educ

Centre for Research and Development in Learning, Nanyang Technological University, Singapore; School of Social Sciences, Nanyang Technological University, Singapore; National Institute of Education, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

Published: September 2023

Background: Interest in research on the Science of Learning continues to grow. However, ambiguity about what this field is can negatively impact communication and collaboration and may inadequately inform educational training programs or funding initiatives that are not sufficiently inclusive in focus.

Methods: The present scoping review aimed to synthesize a working definition of the Science of Learning using Web of Science and ProQuest database searches.

Results: In total, 43 unique definitions were identified across 50 documents including journal articles, theses, conference papers, and book chapters. Definitions of the Science of Learning differed considerably when describing the fields thought to contribute to research on this topic.

Conclusions: Based on findings, we propose a working definition of the Science of Learning for discussion and further refinement: the scientific study of the underlying bases of learning with the goal of describing, understanding, or improving learning across developmental stages and diverse contexts.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.tine.2023.100206DOI Listing

Publication Analysis

Top Keywords

science learning
20
scoping review
8
working definition
8
definition science
8
learning
7
science
5
defining science
4
learning scoping
4
review background
4
background interest
4

Similar Publications

Newborns are able to neurally discriminate between speech and nonspeech right after birth. To date it remains unknown whether this early speech discrimination and the underlying neural language network is associated with later language development. Preterm-born children are an interesting cohort to investigate this relationship, as previous studies have shown that preterm-born neonates exhibit alterations of speech processing and have a greater risk of later language deficits.

View Article and Find Full Text PDF

HIV OctaScanner: A Machine Learning Approach to Unveil Proteolytic Cleavage Dynamics in HIV-1 Protease Substrates.

J Chem Inf Model

January 2025

State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.

The rise of resistance to antiretroviral drugs due to mutations in human immunodeficiency virus-1 (HIV-1) protease is a major obstacle to effective treatment. These mutations alter the drug-binding pocket of the protease and reduce the drug efficacy by disrupting interactions with inhibitors. Traditional methods, such as biochemical assays and structural biology, are crucial for studying enzyme function but are time-consuming and labor-intensive.

View Article and Find Full Text PDF

Sleep stages classification one of the essential factors concerning sleep disorder diagnoses, which can contribute to many functional disease treatments or prevent the primary cognitive risks in daily activities. In this study, A novel method of mapping EEG signals to music is proposed to classify sleep stages. A total of 4.

View Article and Find Full Text PDF

AxonFinder: Automated segmentation of tumor innervating neuronal fibers.

Heliyon

January 2025

Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.

Neurosignaling is increasingly recognized as a critical factor in cancer progression, where neuronal innervation of primary tumors contributes to the disease's advancement. This study focuses on segmenting individual axons within the prostate tumor microenvironment, which have been challenging to detect and analyze due to their irregular morphologies. We present a novel deep learning-based approach for the automated segmentation of axons, AxonFinder, leveraging a U-Net model with a ResNet-101 encoder, based on a multiplexed imaging approach.

View Article and Find Full Text PDF

Background And Aims: The role of the healthcare system in the provision, maintenance, and promotion of public health is associated with handling healthcare complaints. This notion as the principle of accountability requires the authorities' attention. This study aimed to develop the Healthcare Complaints Analysis Tool (HCAT) in Iran.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!