This article describes a comprehensive examination of the cognitive, motivational, and emotional processes underlying active learning approaches; their effects on learning and transfer; and the core training design elements (exploration, training frame, emotion control) and individual differences (cognitive ability, trait goal orientation, trait anxiety) that shape these processes. Participants (N = 350) were trained to operate a complex, computer-based simulation. Exploratory learning and error-encouragement framing had a positive effect on adaptive transfer performance and interacted with cognitive ability and dispositional goal orientation to influence trainees' metacognition and state goal orientation. Trainees who received the emotion-control strategy had lower levels of state anxiety. Implications for development of an integrated theory of active learning, learner-centered design, and research extensions are discussed.
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http://dx.doi.org/10.1037/0021-9010.93.2.296 | DOI Listing |
Sci Rep
January 2025
Laboratoire de Biophysique et Evolution, UMR CNRS-ESPCI 8231 Chimie Biologie Innovation, PSL University, Paris, France.
Synergistic drug combination screening is a promising strategy in drug discovery, but it involves navigating a costly and complex search space. While AI, particularly deep learning, has advanced synergy predictions, its effectiveness is limited by the low occurrence of synergistic drug pairs. Active learning, which integrates experimental testing into the learning process, has been proposed to address this challenge.
View Article and Find Full Text PDFWaste Manag
January 2025
Department of Industrial and Systems Engineering, Kyonggi University, Suwon, Republic of Korea. Electronic address:
This study identifies and analyzes issues within the management system of the waste home appliances free pickup service and seeks to enhance the system by using an object detection model. To overcome the limitations of manually inspecting approximately 5,000 collections per day, the YOLOv8 model was implemented. Photos for proof of collection, which were difficult to verify visually, were excluded from the image data.
View Article and Find Full Text PDFVet Rec
January 2025
Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University, Harrogate, Tennessee, USA.
Background: Accurate radiographic interpretation is an important day one skill. A case-based radiology course (CBC) demonstrated better learning outcomes than a lecture-based course (LBC) immediately and after a one-semester period. The aim of this study was to compare long-term learning outcomes of both groups.
View Article and Find Full Text PDFJ Appl Crystallogr
January 2024
NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Neutron reflectometry (NR) is a powerful technique for interrogating the structure of thin films at interfaces. Because NR measurements are slow and instrument availability is limited, measurement efficiency is paramount. One approach to improving measurement efficiency is active learning (AL), in which the next measurement configurations are selected on the basis of information gained from the partial data collected so far.
View Article and Find Full Text PDFCJC Open
January 2025
Genetics and Genome Biology, Research Institute, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.
Sudden cardiac death is a leading cause of mortality in children with hypertrophic cardiomyopathy (HCM). The PRecIsion Medicine in CardiomYopathy consortium developed a validated tool (PRIMaCY) for sudden cardiac death risk prediction to help with implantable cardioverter defibrillator shared decision-making, as recommended by clinical practice guidelines. The mplemeting a udden Cardiac Dath isk Assessment ool in hildhood (INSERT-HCM) study aims to implement PRIMaCY into electronic health records (EHRs) and assess implementation determinants and outcomes.
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