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Purpose Of Review: This review was carried out to highlight relevant learning theory and its application to the teaching of endoscopic skills to speech and language therapists (SLTs). This article explains the most relevant models from Constructivist, Experiential and Humanistic Learning Theory, a combination that has been described as Constructive Experience, and describes the relevance and the benefits of applying educational frameworks in course design. This approach has been formally used to design and deliver practical skills teaching in medicine.
Recent Findings: SLTs carry out endoscopic evaluation of the larynx (EEL) to provide information for evaluation and rehabilitation of voice and swallowing disorders. These are essential procedures in ear, nose and throat, voice and swallowing specialist centres. Training in endoscopy skills for SLTs working in the ear, nose and throat specialist centres in the United Kingdom has traditionally been provided external to the local clinic environment as 1 or 2-day courses. In one survey in the United Kingdom, 79% of SLTs reported that they did not acquire the depth of skill required to carry out EEL autonomously after attending such courses. Course development to teach practical skills should be underpinned by educational theory.
Summary: One EEL course in the United Kingdom is described, wherein sessions are interactive and experiential, promoting deep learning, constructive feedback and reflection, enriched by the completion of logs and portfolios. From course evaluations, all the learners met the learning objectives, developing and applying skills to become confident endoscopists in autonomous clinical practice.
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http://dx.doi.org/10.1097/MOO.0000000000000163 | DOI Listing |
Sci Robot
September 2025
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
According to productive failure (PF) theory, experiencing failure during problem-solving can enhance students' knowledge acquisition in subsequent instruction. However, challenging students with problems beyond their current capabilities may strain their skills, prior knowledge, and emotional well-being. To address this, we designed a social robot-assisted teaching activity in which students observed a robot's unsuccessful problem-solving attempts, offering a PF-like preparatory effect without requiring direct failure.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Department of Pharmaceutical Sciences, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.
Organometallic catalysis lies at the heart of numerous industrial processes that produce bulk and fine chemicals. The search for transition states and screening for organic ligands are vital in designing highly active organometallic catalysts with efficient reaction kinetics. However, identifying accurate transition states necessitates computationally intensive quantum chemistry calculations.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria.
We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. This framework streamlines the development of new interfaces by providing a reusable and extendable code base. It supports the computation of energies, gradients, various couplings─like spin-orbit couplings, nonadiabatic couplings, and transition dipole moments─and other properties for an arbitrary number of states with any multiplicities and charges.
View Article and Find Full Text PDFClin Nurs Res
September 2025
Chonnam National University College of Nursing, Donggu, Gwangju, South Korea.
The increasing prevalence of diabetes mellitus (DM) and patients' lack of self-management awareness have led to a decline in health-related quality of life (HRQoL). Studies identifying potential risk factors for HRQoL in DM patients and presenting generalized models are relatively scarce. The study aimed to develop and evaluate a machine learning (ML)-based model to predict the HRQoL in adult diabetic patients and to examine the important factors affecting HRQoL.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Yusuf Hamied Department of Chemistry. Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Folding and unfolding in molecules as simple as short hydrocarbons and as complicated as large proteins continue to be an active research field. Here, we investigate folding in n-C14H30 using both density functional theory (DFT)/B3LYP calculations of 27 772 local minima and a kinetic transition network calculated for a previously reported potential energy surface (PES) obtained by fitting roughly 250 000 B3LYP energies. In addition to generating a database of minima and the transition states that connect them, these calculations and the PES based on them have been used to develop a simple and accurate model for the energy landscape.
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