Learning with certainty in childhood.

Trends Cogn Sci

Department of Psychology, University of California, Berkeley, CA, USA.

Published: October 2022

Learners use certainty to guide learning. They maintain existing beliefs when certain, but seek further information when they feel uninformed. Here, we review developmental evidence that this metacognitive strategy does not require reportable processing. Uncertainty prompts nonverbal human infants and nonhuman animals to engage in strategies like seeking help, searching for additional information, or opting out. Certainty directs children's attention and active learning strategies and provides a common metric for comparing and integrating conflicting beliefs across people. We conclude that certainty is a continuous, domain-general signal of belief quality even early in life.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.tics.2022.07.010DOI Listing

Publication Analysis

Top Keywords

learning certainty
4
certainty childhood
4
childhood learners
4
learners certainty
4
certainty guide
4
guide learning
4
learning maintain
4
maintain existing
4
existing beliefs
4
beliefs seek
4

Similar Publications

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: "How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students?", we aimed to evaluate the performance of these models.

View Article and Find Full Text PDF

Deep learning image reconstruction (DLIR) has shown potential to enhance computed tomography (CT) image quality, but its impact on tumor visibility and adoption among radiologists with varying experience levels remains unclear. This study compared the performance of two deep learning-based image reconstruction methods, DLIR and Pixelshine, an adaptive statistical iterative reconstruction-volume (ASIR-V) method, and filtered back projection (FBP) across 33 contrast-enhanced CT staging examinations, evaluated by 20-24 radiologists. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured for tumor and surrounding organ tissues across DLIR (Low, Medium, High), Pixelshine (Soft, Ultrasoft), ASIR-V (30-100%), and FBP.

View Article and Find Full Text PDF

Objective: To identify and assess artificial intelligence (AI)-enabled products reviewed by the U.S. Food and Drug Administration (FDA) that are potentially applicable to emergency medicine (EM).

View Article and Find Full Text PDF

Contrasting two versions of the 4-cup 2-item disjunctive syllogism task in great apes.

Anim Cogn

January 2025

School of Psychology and Neuroscience, University of St. Andrews, St. Andrews, KY16 9AJ, UK.

Chimpanzees excel at inference tasks which require that they search for a single food item from partial information. Yet, when presented with 2-item tasks which test the same inference operation, chimpanzees show a consistent breakdown in performance. Here we test a diverse zoo-housed cohort (n = 24) comprising all 4 great ape species under the classic 4-cup 2-item task, previously administered to children and chimpanzees, and a modified task administered to baboons.

View Article and Find Full Text PDF

Leveraging logit uncertainty for better knowledge distillation.

Sci Rep

December 2024

Communication University of China, State Key Laboratory of Media Convergence and Communication, Beijing, 100024, China.

Knowledge distillation improves student model performance. However, using a larger teacher model does not necessarily result in better distillation gains due to significant architecture and output gaps with smaller student networks. To address this issue, we reconsider teacher outputs and find that categories with strong teacher confidence benefit distillation more, while those with weaker certainty contribute less.

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!