Assessing effectiveness of ABCDE Framework for teaching condylar fracture reduction in dental education: a mixed methods study by Jun Pang, Zhigan Lv, Haifeng Zhang, Siyao Yang, Yuanyuan Wang, Yang Wu, Xiaoxing Hao, Lin Cheng, Pengfei Xin

“…Methods The ABCDE framework includes Assessment, Briefing, Collaborative learning, Demonstration, and Evaluation phases. …”
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Insights into nurse educators' use of ChatGPT in active teaching methods: A cross-sectional pilot study by Asma Bouriami, Kamal Takhdat, Sana Barkatou, Hajar Chiki, Samia Boussaa, Ahmed Rhassane El Adib

“…Furthermore, male educators are five times more likely to believe that ChatGPT facilitates students cheating (OR = 5.147 (1.641; 16.141)).Despite being aware of the challenges associated with ChatGPT, educators in our sample demonstrate limited awareness of its potential applications in active teaching methods. For instance, only 33.33% use ChatGPT in problem-based learning, while a mere 10% use ChatGPT in simulation-based learning. …”
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A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes by Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiangxu Hu, Aibiao Zou, Zhiguo Liu, Hualin Wang

“…After screening T2DM patients, feature election was conducted using LASSO regression, and a machine learning model was developed using XGBoost. The model’s performance was evaluated based on accuracy, specificity, positive predictive value, negative predictive value and further analyzed using receiver operating curves, calibration curves, and decision curves.ResultsOut of the 758 T2DM patients included, 477 had their glycated hemoglobin (HbA1c) levels reduced to less than 6.5% after inulin intervention, resulting in an incidence rate of 62.93%. …”
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Implementation of a tele-paediatric network in hospitals in a rural region: A mixed methods implementation study by Nils Pfeuffer, Angelika Beyer, Luisa Tischler, Sarah Heimbuch, Heiko Krause, Markus Krohn, Steffen Fleßa, Thomas Ruppel, Wolfgang Hoffmann, Neeltje van den Berg

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Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

“…This study aims to identify the optimal feature datasets and to quantify the uncertainty associated with gully erosion prediction models by developing a novel methodological framework based on ensembles of the three machine learning models: Random Forest (RF), Convolutional Neural Network (CNN), and Transformer models. …”
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Interpretation and understanding of asphalt crack detection deep learning models using integrated gradient (I.G.) maps by Gihan P. Ruwanpathirana, Sadeep Thilakarathna, Shanaka Kristombu Baduge

“…In this study, we employed Integrated Gradient (I.G.) maps to elucidate the workings of these models and interpret CNN-based crack image voxels that contributed to the positive (cracked) output of CNN. …”
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Multiple attachment perspectives: the relationship between interpersonal attachment from family and school environments and children’s learning engagement by Qi Li, Die Wang, Guihua Qin

“…Abstract Objectives Abundant evidence has demonstrated that positive interpersonal relationships promote children’s learning engagement. …”
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Diagnosis of clear cell renal cell carcinoma via a deep learning model with whole-slide images by Weixing Jiang, Siyu Qi, Cancan Chen, Wenying Wang, Xi Chen

“…Conclusion: The use of a deep learning method for the diagnosis of ccRCC is feasible. …”
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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. by Zhuoran Wang, Anoop D Shah, A Rosemary Tate, Spiros Denaxas, John Shawe-Taylor, Harry Hemingway

“…<h4>Aim</h4>To develop an algorithm to identify relevant free texts automatically based on labelled examples.<h4>Methods</h4>We developed a novel machine learning algorithm, the 'Semi-supervised Set Covering Machine' (S3CM), and tested its ability to detect the presence of coronary angiogram results and ovarian cancer diagnoses in free text in the General Practice Research Database. …”
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The relationship between self-directed learning and academic success in nursing students of Ahvaz Jondishapur University of Medical Sciences by Faezeh Larki, shahram Molavynejad, Alireza Momeni, Mojdeh Fathi

“…Background: Learning is the key to entering of a knowledge-based society and is the main topic of any kind of education. …”
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Learning hand hygiene from the champions: Investigating key compliance facilitators among healthcare workers through interviews. by Charis von Auer, Magdalena Probst, Wulf Schneider-Bachart, Susanne Gaube

“…<h4>Methods</h4>In this qualitative study, we conducted problem-oriented semi-structured interviews with questions based on the 14 domains of the revised TDF. …”
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Measurement of Suspended Sediment Concentration at the Outlet of the Yellow River Canyon: Using Sentinel-2 Images and Machine Learning by Genxin Song, Youjing Jiang, Xinyu Lei, Shiyan Zhai

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Improving interprofessional collaboration in pain clinics through simulation: a longitudinal Readiness for Interprofessional Learning Scale assessment by John Mekail, Ysaac Zegeye, Quinn Lanners, Muhammad Farooq Anwar, Peter K Yi

“…Despite its importance, IPC within outpatient pain medicine remains understudied, and the Readiness for Interprofessional Learning Scale (RIPLS) has not been used longitudinally in outpatient pain medicine.Objectives The primary objective of this quality improvement (QI) project was to evaluate and enhance readiness for interprofessional learning among clinical staff in an outpatient pain clinic, measured over 6 months in an outpatient pain clinic.Methods This initiative took place from October 2021 to April 2022 in an academic institution’s hospital-based outpatient pain clinic. …”
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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…To address these issues, we introduce a graph diffusion model into the field of CD and propose a novel network architecture called CGD-CD Net, which is driven by a structure-sensitive SSL strategy based on contrastive learning. Specifically, a superpixel segmentation algorithm is applied to bi-temporal images to construct graph nodes, while the k-nearest neighbors algorithm is used to define edge connections. …”
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Transgressive pedagogies in a climate-constrained Africa: grounding climate change education and sustainability learning in local communities by Bob Offei Manteaw, Yaw Agyeman Boafo, Erasmus Henaku Owusu, Kirk B. Enu, Antwi Boasiako Amoah

“…This study argues for an urgent shift towards practical and experiential learning in higher education, particularly in sustainability learning and climate change education, by adopting transgressive pedagogies and place-based approaches grounded in local communities.MethodsThis study employed a series of field learning journeys within Ghana to investigate the impact of practical engagements on students’ understanding and appreciation of environmental, social, and climate change challenges. …”
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The influence of blended learning models and internet self-efficacy on digital citizenship attitudes of elementary school students in Indonesia by M. Mujtahidin, W. Wahjoedi, S. Wiyono, A,R, Atok, M.M. Blažić

“…<strong>Conclusions. </strong>Blended learning improves elementary students' digital citizenship attitudes more effectively than direct instruction, with internet self-efficacy levels significantly influencing these outcomes and interacting with teaching methods, suggesting educators should adopt tailored approaches based on students' technological confidence.…”
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Error Compensation for Dead Reckoning Based on SVM by Xin LI, Xiaoming WANG, Jianguo WU, Jiwei ZHAO, Jiacheng XIN, Kai CHEN, Bin ZHANG

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Efectividad de una metodología para contribuir a la habilidad de solucionar problemas en la asignatura Embriología Médica by Elena Vicenta Hernández Navarro, Jorge Luis Losada Guerra, Lizette Elena Leiva Suero, Marcelo Mantilla-Falcón

“…Abstract: Introduction: Based on the publication of methodology design and validation focused on visualization and problematization to improve the problem-solving skill in Embryology subject, the present study was carried out with the objective of evaluating the effectiveness of the aforementioned methodology in the teaching-learning process. …”
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PROFESSIONAL AND APPLIED PHYSICAL TRAINING FOR STUDENTS OF COMPUTER ENGINEERING SPECIALTY IN THE TEMPORARILY OCCUPIED TERRITORY WITH USING DISTANCE LEARNING by Shuba Liudmyla, Shuba Victor, Shuba Victoria

“…But there are advantages and disadvantages of distance learning. Positive aspects include: flexible schedule, independent study possibility, stress reduction, physical and psychological health improvement, using interactive technologies and virtual reality, competition and cooperation promotion, support from teachers and parents, innovation stimulation and development of new teaching methods, assistance in development of a healthy lifestyle as an education part. …”
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Gincana para el estudio de la cardiología: un viaje lúdico hacia el aprendizaje significativo en el grado en Medicina by Sonia Velasco del Castillo, Rodrigo Damián García, Laura Pacios Arcay, Enara Azpitarte Cortés, Susana Romero Yesa, Alberto Ullate de la Torre, Idoia Bravo Martinez, Unai Ortega Mera

“…Within Miller's pyramid, this practice focused on the “how to do” level. Materials and methods: The method used was based on the University of Deusto Learning Model. …”
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