面向计算思维能力培养的机器学习课程教学
Cultivation of Computational Thinking Ability in Teaching Machine Learning
张艳 1朱杰 1车冬娟1
作者信息
- 1. 北华航天工业学院计算机学院,河北廊坊 065000
- 折叠
摘要
传统的机器学习课程存在教学枯燥,受课时限制,导致学生学习一知半解、缺乏学习兴趣等问题,且课程存在教学内容多、广、细、散等特点,针对此,本文引入计算思维能力培养机制,力求学生在学习的过程中进行知识扩展、举一反三、解决实际应用问题,提高学生学习兴趣及研究问题、分析问题和解决实际问题的能力,真正解决社会问题,服务社会.
Abstract
Problems in traditional Machine Learning teaching are obvious.Due to the limited class hours and its content,students have little comprehension of its knowledge and lack of interest in learning.Based on the features of this course which has the more content but less teaching-hour,extensive,scattered and detailed knowledge,this article introduces the training mechanism of computing thinking ability,aiming to expand students'knowledge,increase their interest in learning and improve their ability to solve practical problems in real world.
关键词
计算思维/机器学习/课程教学Key words
computational thinking/Machine Learning/course teaching引用本文复制引用
基金项目
北华航天工业学院本科教学研究与改革项目(JY-2022-62)
河北省应用技术大学研究会课题(JY2023192)
出版年
2024
NETL
NSTL
万方数据