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新工科背景下医工跨学科数字信号处理实践的探索——基于变构学习模型理论 被引量:1

Exploring Interdisciplinary Digital Signal Processing Practices in Medical Engineering in the Context of Emerging Engineering Education——Based on the Allosteric Learning Model
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摘要 新工科背景下,基于变构学习模型,从学生发生认识论的视角出发,结合数字信号处理和医学课程的学习内容建构学习情境,为学生提供丰富的学习资源和充裕的交流空间,并利用有效的评价与反馈促进学习者的反思,从而促进学习者对知识的提炼与吸收.这一探索不仅推进了医学与工程学科的融合,还为培养具有工科思维和视野的复合型医学人才提供了新的教学思路和方法. In the context of Emerging Engineering Education,based on the Allosteric Learning Model,we,from the perspective of constructivist epistemology,integrate the learning content of Digital Signal Processing and medical courses to construct learning scenarios,providing students with rich learning resources and ample space for interaction.Effective assessment and feedback are used to promote reflection among learners,thereby facilitating their refinement and absorption of knowledge.This exploration not only advances the integration of medical and engineering disciplines but also offers new teaching ideas and methods for cultivating multifaceted medical professionals with an engineering mindset and vision.
作者 李璐娟 吕勇 杨德山 曹倩倩 Li Lujuan;LüYong;Yang Deshan;Cao Qianqian(College of Information Science and Engineering,Jiaxing University,Jiaxing,Zhejiang 314001)
出处 《嘉兴大学学报》 2024年第6期136-140,共5页 Journal of Jiaxing University
基金 浙江省普通本科高校“十四五”教学改革项目(jg20220436) 2023年嘉兴学院教学改革项目(85152322) 2023年嘉兴学院课程思政示范课——数字信号处理(1085423155)。
关键词 新工科 医工跨学科 变构学习模型 数字信号处理 Emerging Engineering Education interdisciplinary medical engineering Allosteric Learning Model Digital Signal Processing
作者简介 李璐娟(1983-),女,山西长治人,嘉兴大学信息科学与工程学院讲师,研究方向为多传感器信号处理和智能检测.
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