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将生命科学规律融入知识传授--以离子通道及相关药物的学习为例

Integrating the Law of Life Science into the Teaching of Knowledge:Taking the Learning of Ion Channels and Re⁃lated Drugs as an Example
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摘要 生命科学是主要建立在实验研究基础上的学科,其对每一个现象的解释都要在一定的条件下进行。生命科学教材按照系统器官,通过化整为零的方式组织编写与教学。在这种框架下,学生学到的知识常常是碎片化的,不利于总结和融会贯通。习惯在理解原理的基础上,通过逻辑演绎进行学习训练的理科学员,常常感到生命科学难以理解,只是死记硬背。事实上,生命科学并非是零碎的实验性学科,生命演化自有其遵循的规律和深层逻辑。通过引导,将生命科学的研究技术、运行规律及评价方法贯穿于生物医药等相关学科的教学,既可提高学生学习的兴趣和对知识的掌握程度,又有利于学员对所学新知识的深入理解、整合重构。该文以离子通道及相关药物为例,在教学中尝试将统编教材之外的规律、假说等引入教学,帮助学员理解所学内容、掌握相关规律,更好地构建知识体系。 Life science is an experiment-based course.The explanations of certain phenomenon should be limited under a specific condition.And the course content is also cataloged into sections according the systems and organs.The compilation of the textbook and teaching procedures are also organized by breaking the whole into parts.In this framework and condition,the knowledge learned by students is often fragmented,which is difficult to summarize and integrate.For science students who are used to study by understanding essential law and logical reduction,they often feel that life science is disordered and hard to understand and just learn by rote memorization.In fact,life science has its own rules and is not entirely a fragmentary experimental discipline.Teachers can bring the laws and research methods of life science in the teaching processes,which can not only improve the students’interest in biomedicine,but also help the students to integrate and reconstruct the new knowledge into their existing knowledge system and understand it deeply.Taking ion channels and related drugs as an example,the writers try to introduce their attempts to bring laws and hypotheses of life science with knowledge into teaching processes,so as to help students to understand what they have learned,master the laws of life science,and build a better knowledge system.
作者 李志勇 张雷 缪朝玉 LI Zhiyong;ZHANG Lei;MIAO Chaoyu
出处 《科教文汇》 2021年第32期79-81,共3页 Journal of Science and Education
关键词 知识碎片化 生命科学规律 知识体系 假说 fragmented knowledge life science law knowledge system hypothesis
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