首页|基于成果导向教育的分类器实验教学设计探索

基于成果导向教育的分类器实验教学设计探索

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探索一种区别于传统教育的新型OBE教育模式.以学生自身兴趣爱好为导向,引用经典课题实践案例,并将其分解成不同难度题型,引导不同基础学生用科学的方法实现基于Python编译器的分类器仿真实验模型,让每一个学生能够得到最大程度的学习效率.通过此互动式、开放性的课堂教学,不仅充分激发了每一个学生的学习能动性,也使得教师通过课堂氛围灵活的分配教学计划以获得更好的教学体验,更好地完成教学成绩.
Experimental Design of Classifier Teaching Based on OBE Concept
This paper explores a new type of OBE education model that is different from traditional education.The mode is oriented by students'own interests and hobbies,cites the classical subject practice cases and breaks them into different difficulty question types,guides students with different bases to realize the classifier simulation experiment model based on Python compiler in a scientific way.Each student can get the maximum learning efficiency by the method.This interactive and open classroom teaching mode not only fully stimulates the learning initiative of each student,but also makes the teacher through the classroom atmosphere to flexibly allocate the teaching plan to get a better teaching experience and better accomplish the teaching performance.

Pythonclassifieroutcome based education(OBE)talent cultivation

昝风彪、陈达、刘昕、孟轩

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青海民族大学 计算机学院 西宁 810007

青海民族大学 物理与电子信息工程学院,西宁 810007

Python 分类器 成果导向教育 人才培养

国家民委高等教育教学改革项目青海民族大学教育教学研究项目

210732023-ZDYJ-004

2024

实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
年,卷(期):2024.43(1)
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