We explored the mediating role of prior knowledge on the relation between intelligence and learning proportional reasoning. What students gain from formal instruction may depend on their intelligence, as well as on prior encounters with proportional concepts. We investigated whether a basic curriculum unit on the concept of density promoted students' learning in a training on proportional reasoning. A 2 × 2 design with the factors basic curriculum unit (with, without) and intervention context to introduce proportional reasoning (speed, density) was applied in two consecutive, randomized classroom studies (N1 = 251, N2 = 566 fourth- and fifth-graders; 49%/56% female). We controlled for intelligence and mathematical achievement. We expected the combination of having received the basic curriculum unit on floating and sinking and proportional reasoning introduced via density (a familiar problem-solving context for this group) to be especially favorable. Whereas this hypothesis was not supported, we showed that mathematical achievement mediated the relation between intelligence and proportional reasoning and enabled learners to better exploit the learning opportunities.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224810 | PMC |
| http://dx.doi.org/10.3390/jintelligence10020031 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[Research on RULA, REBA and OWAS based exposure risk assessment methods].
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
December 2024
National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
To accurately identify occupational health and safety hazards in different industries with distinct characteristics, a comprehensive occupational ergonomics assessment scale was developed by integrating the Rapid Upper Limb Assessment (RULA) evaluation framework, the Rapid Entire Body Assessment (REBA) and the Ovako Working Posture Analysing System (OWAS) . Between May 2023 and May 2024, based on the proportional reasoning method and segmented function method, the algorithm logic of RULA and REBA was aligned, and the evaluation rules for the revision content of the innovation scale were inferred using the method of proportion reasoning. Twenty postures were randomly selected for correlation verification.
View Article and Find Full Text PDFCausal debiasing for unknown bias in histopathology-A colon cancer use case.
PLoS One
November 2024
School of Computing And Augmented Intelligence Arizona State University, Phoenix, Arziona, United States of America.
Advancement of AI has opened new possibility for accurate diagnosis and prognosis using digital histopathology slides which not only saves hours of expert effort but also makes the estimation more standardized and accurate. However, preserving the AI model performance on the external sites is an extremely challenging problem in the histopathology domain which is primarily due to the difference in data acquisition and/or sampling bias. Although, AI models can also learn spurious correlation, they provide unequal performance across validation population.
View Article and Find Full Text PDFNot just social networks: How people infer relations from mutual connections.
Psychon Bull Rev
November 2024
Department of Psychology, University of Waterloo, 200 University Avenue W, Waterloo, ON, N2L 3G1, Canada.
People can infer relationships from incomplete information about social networks. We examined whether these inferences depend on domain-specific knowledge about social relationships or instead depend on domain-general statistical reasoning. In five preregistered experiments, participants (total N = 1,424) saw two target entities and their connections to others in social, semisocial, and nonsocial networks.
View Article and Find Full Text PDFA hybrid MCDM approach based on combined weighting method, cloud model and COPRAS for assessing road construction workers' safety climate.
Front Public Health
October 2024
Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, China.
Article Synopsis
- The paper introduces a new method to evaluate the safety climate among various groups of construction workers, aiming to predict safety performance and implement targeted improvements.
- It utilizes advanced algorithms, like BP neural networks and random forests, along with a unique decision matrix and the COPRAS method to assess and compare safety climate levels between groups.
- Findings indicate that the new CM-COPRAS model consistently aligns with existing research, particularly highlighting how education levels positively impact safety climate, thus validating the model's effectiveness.
DeLVE into Earth's Past: A Visualization-Based Exhibit Deployed Across Multiple Museum Contexts.
IEEE Trans Vis Comput Graph
September 2024
While previous work has found success in deploying visualizations as museum exhibits, it has not investigated whether museum context impacts visitor behaviour with these exhibits. We present an interactive Deep-time Literacy Visualization Exhibit (DeLVE) to help museum visitors understand deep time (lengths of extremely long geological processes) by improving proportional reasoning skills through comparison of different time periods. DeLVE uses a new visualization idiom, Connected Multi-Tier Ranges, to visualize curated datasets of past events across multiple scales of time, relating extreme scales with concrete scales that have more familiar magnitudes and units.
View Article and Find Full Text PDFWant 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!