Search Results - Problem-Based Learning/methods [MeSH]

Cooperative learning for improving healthy housing conditions in Bogota: a case study/Aprendizaje cooperativo para forjar vivienda saludable en Bogota: estudio de caso by Torres-Parra, Camilo A, Garcia-Ubaque, Cesar A, Garcia-Ubaque, Juan C

“… conditions through cooperative learning. Methods A constructivist approach was adopted based on a programme called "Habitat community manger…”
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Developing nursing and midwifery students' capacity for coping with bullying and aggression in clinical settings: Students' evaluation of a learning resource by Hogan, Rosemarie, Orr, Fiona, Fox, Deborah, Cummins, Allison, Foureur, Maralyn

“…An innovative blended learning resource for undergraduate nursing and midwifery students was developed in a large urban Australian university, following a…”
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The design, fate and impact of a hospital-wide training program in evidence-based medicine for physicians – an observational study by Thor, Johan, Olsson, Daniel, Nordenström, Jörgen

“…Background Many doctors fail to practice Evidence-Based Medicine (EBM) effectively, in part due to insufficient training. We report on the design, fate and…”
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Investigation flipped classroom effectiveness in teaching anatomy: A systematic review by Kazeminia, Mohsen, Salehi, Leili, Khosravipour, Masoud, Rajati, Fatemeh

“… In the current systematic review, all documents related to the FC in the anatomy teaching were searched using validated MeSH terms and their synonyms including “Flipp*”, “Backwards Classroom”, “Reverse Instruction”, “Reverse Teaching”, “Anatomy…”
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Team-based learning (TBL) in clinical disciplines for undergraduate medical students—a scoping review by Sterpu, Irene, Herling, Lotta, Nordquist, Jonas, Rotgans, Jerome, Acharya, Ganesh

“… (MeSH) and free-text terms. Original research studies reporting on the implementation of TBL in clinical disciplines in undergraduate…”
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Which novel teaching strategy is most recommended in medical education? A systematic review and network meta-analysis by Zhang, Shuai-Long, Ren, Si-Jing, Zhu, Dong-Mei, Liu, Tian-Yao, Wang, Lian, Zhao, Jing-Hui, Fan, Xiao-Tang, Gong, Hong

“… The following keywords were searched in MeSH: (“medical students”) AND (“problem-based learning…”
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Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces by Chen, Geng, Qin, Jie, Amor, Boulbaba Ben, Zhou, Weiming, Dai, Hang, Zhou, Tao, Huang, Heyuan, Shao, Ling

“… Existing methods treat this task as a segmentation problem, which is resolved with geometric deep learning based mesh segmentation techniques…”
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Blended learning: An effective methodology for teaching radiology to medical students by Ulloa Guerrero, Luis Heber, Salazar, Luis, Durán Guerrero, Johan Alberto

“…: To design, implement and evaluate the blended learning method for teaching radiology to medical…”
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Problem-based learning vs traditional method in the development of competencies in students in the health area. A systematic review by Vélez Silva, Vicenta Nazaela, Palma Zambrano, Génesis Adriana, Borroto Cruz, Eugenio Radamés

“…Introduction: Problem-based learning (PBL) is a student-centered pedagogical approach based on self-directed learning…”
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Student Journals: A Means of Assessing Transformative Learning in Aging Related Courses by Cohen, Adrienne L., Pitman Brown, Pamela, Morales, Justin P.

“… Journaling meshes with transformative learning constructs, allowing for critical self-reflection essential to transformation…”
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MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability by Casenave, Fabien, Staber, Brian, Roynard, Xavier

“… with only mesh discretizations as available data. Learning simulations from such mesh-based representations poses significant challenges, with recent advances relying heavily on deep graph neural networks to overcome the limitations of conventional…”
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XI-DeepONet: An operator learning method for elliptic interface problems by Bi, Ran, Chen, Jingrun, Deng, Weibing

“… Machine learning-based methods, on the other hand, are mesh-free, thus providing a promising alternative…”
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A Mesh-Free 3-D Deep Learning Electromagnetic Inversion Method Based on Point Clouds by Chen, Yanjin, Zhang, Hongrui, Cui, Tie Jun, Teixeira, Fernando L., Li, Lianlin

“…) problems in the past. However, for 3-D EMIS problems, the massive amount of meshes generated by the mesh-based inversion methods makes deep learning implementation very challenging…”
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The use of anonymous pop-quizzes (APQs) as a tool to reinforce learning by Le, Me-Linh

“…) Treatment options e) a, b, and d f) All of the above Medical Subject Headings (MeSH) are a ''controlled vocabulary'' that lets you use one term…”
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Distributed learning machines for solving forward and inverse problems in partial differential equations by Dwivedi, Vikas, Parashar, Nishant, Srinivasan, Balaji

“… mesh-based numerical methods for solving forward and inverse problems in nonlinear partial differential equations (PDEs…”
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Mesh optimization using an improved self-organizing mechanism by Yu, Jian, Wang, Mingzhen, Ouyang, Wenxuan, An, Wei, Liu, Xuejun, Lyu, Hongqiang

“…As more powerful computing hardware enables higher resolution simulations, a fast and flexible mesh optimization method is becoming increasingly indispensable for Computational Fluid Dynamics (CFD…”
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SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling by Luo, Zhongjin, Du, Dong, Zhu, Heming, Yu, Yizhou, Fu, Hongbo, Han, Xiaoguang

“…Modeling 3D avatars benefits various application scenarios such as AR/VR, gaming, and filming. Character faces contribute significant diversity and vividity as…”
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Approximation of One-Dimensional Darcy–Brinkman–Forchheimer Model by Physics Informed Deep Learning Feedforward Artificial Neural Network and Finite Element Methods: A Comparative Study by Martinez, Mara, Rao, B. Veena S. N., Mallikarjunaiah, S. M.

“… have been widely implemented. Since such machine learning algorithms are superior for any optimization problem compared to any traditional mesh-based approximation methods…”
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Learning shape abstraction by cropping positive cuboid primitives with negative ones by Zhao, Xi, Li, Haodong, Wang, Haoran

“… We propose a self-supervised learning-based abstraction method for 3D meshes to solve this problem…”
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A mesh-free method using piecewise deep neural network for elliptic interface problems by He, Cuiyu, Hu, Xiaozhe, Mu, Lin

“…In this paper, we propose a novel mesh-free numerical method for solving the elliptic interface problems based on deep learning…”
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