We report four experiments, wherein subjects engaged in either problem-solving practice or example study. First, subjects studied an example problem. Subjects in the example study condition then studied two more analogous problems, whereas subjects in the problem-solving practice conditions solved two such problems, each followed by correct-answer feedback. In Experiment 1, subjects returned 1 week later and completed a posttest on an analogous problem; in Experiments 2-4, subjects completed this posttest immediately after the learning phase. Additionally, Experiment 3 consisted of a control condition, wherein subjects solved these same problems, but did not receive feedback. Experiments 3 and 4 also included a mixed study condition, wherein subjects studied two examples and then solved one with feedback during the learning phase. Across four experiments, we found that the training conditions (i.e., problem-solving practice, mixed, and example study) performed equally well on the posttest. Moreover, subjects in the training conditions outperformed control subjects on the posttest, indicating that the null findings were due to the training conditions learning and transferring their knowledge equally well. After the posttest in Experiment 4, subjects were asked to solve repeated problems from the learning phase. Subjects in the problem-solving practice and mixed study conditions performed better on repeated problems than subjects in the example study condition, indicating that they better learned the solution strategies for these problems than subjects in the example study condition. Nevertheless, this benefit was insufficient to produce differential transfer of learning among the training conditions on the posttest.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3758/s13423-023-02268-4 | DOI Listing |
Biophys J
January 2025
Theoretical Physics of Living Matter, Institute of Biological Information Processing and Institute for Advanced Simulation, Forschungszentrum Jülich, 52425 Jülich, Germany. Electronic address:
Translocation across barriers and through constrictions is a mechanism that is often used in vivo for transporting material between compartments. A specific example is apicomplexan parasites invading host cells through the tight junction that acts as a pore, and a similar barrier crossing is involved in drug delivery using lipid vesicles penetrating intact skin. Here, we use triangulated membranes and energy minimization to study the translocation of vesicles through pores with fixed radii.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
School of Humanities and Social Sciences, Beihang University, No. 37 Xueyuan Road, Beijing, 100191, China.
Background: To address the health inequity caused by decentralized management, China has introduced a provincial pooling system for urban employees' basic medical insurance. This paper proposes a research framework to evaluate similar policies in different contexts. This paper adopts a mixed-methods approach to more comprehensively and precisely capture the causal effects of the policy.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
View Article and Find Full Text PDFSci Rep
January 2025
Key Research Base of Philosophy and Social Sciences in Jiangsu Universities, Research Institute of Huai River Eco-economic Belt, Huaiyin Normal University, Huaian, 223300, China.
Carrying out carbon budget assessment and carbon compensation zoning research from inter-regional perspective can actively boost the formulation of green, low-carbon transformation strategies, guiding the flow of compensation credits, promoting regional equity and sustainable development, and realizing China's "dual-carbon" goal. Huai River Eco-economic Belt is considered to be a typical example of how land use affects carbon budget due to its more drastic land changes. The paper uses the carbon emission coefficient method to analyze the carbon revenue and expenditure of kinds of land-use patterns, and constructs the carbon compensation model with the help of the carbon budget concentration index and the dominant comparative advantage index, and puts forward the carbon compensation zoning program.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.
The characteristics of data produced by omics technologies are pivotal, as they critically influence the feasibility and effectiveness of computational methods applied in downstream analyses, such as data harmonization and differential abundance analyses. Furthermore, variability in these data characteristics across datasets plays a crucial role, leading to diverging outcomes in benchmarking studies, which are essential for guiding the selection of appropriate analysis methods in all omics fields. Additionally, downstream analysis tools are often developed and applied within specific omics communities due to the presumed differences in data characteristics attributed to each omics technology.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!