Preliminary study on the reform of machine learning teaching

Nan WEI; Lihua YIN; Hong NING; Binxing FANG

doi:10.11959/j.issn.2096-109x.2022026

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Preliminary study on the reform of machine learning teaching

Education and teaching | 更新时间：2024-06-03

- Preliminary study on the reform of machine learning teaching
- Chinese Journal of Network and Information Security Vol. 8, Issue 4, Pages: 182-189(2022)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.2096-109x.2022026
  CLC： G420
- Online First：2022-08，
  
  Published：15 August 2022
- 稿件说明：
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Nan WEI, Lihua YIN, Hong NING, et al. Preliminary study on the reform of machine learning teaching[J]. Chinese Journal of Network and Information Security, 2022, 8(4): 182-189.
DOI：

Nan WEI, Lihua YIN, Hong NING, et al. Preliminary study on the reform of machine learning teaching[J]. Chinese Journal of Network and Information Security, 2022, 8(4): 182-189. DOI： 10.11959/j.issn.2096-109x.2022026.

摘要

数学知识跨度大、实际应用范围广、技术更新迭代快是“机器学习”区别于其他课程的最大特征，传统“机器学习”课程教学中数学复习与模型讲解分离、教学内容枯燥缺乏实际联系、考核内容落后于技术发展，导致本科生对机器学习模型理解困难、学习兴趣不强、自主学习意识缺乏，难以运用机器学习前沿技术解决实际问题。围绕教学方法、内容和考核3个方面，提出了“机器学习”课程教学改革措施，融合线上学习和线下推演的教学方法，增加师生互动、串联关键知识点；引入科学家故事和兴趣挑战的教学内容，丰富课堂内容、培养学习兴趣；增加基于前沿技术的实战考核，引导自主学习、探索前沿技术，成功应用于广州大学方滨兴院士本科预备班“机器学习与数据挖掘”教学实践，改善了课程的教学效果。

Abstract

The machine learning is different from other courses for its large span of mathematical knowledge

widely application of techniques

and fast updating of models.In traditional machine learning classes

due to the separation between review of mathematical knowledge and model explanation

boring content divorced from the reality

and the obsolete content of exam

undergraduates have difficulty in understanding machine learning models.Then they lack interest in learning and also consciousness of autonomous learning

which makes them difficult to solve practical problems with advanced machine learning technologies.Considering these facts

the teaching reform measures of machine learning course were proposed

in terms of teaching methods

content and exam.The teaching methods combined online learning and offline deduction to increase teacher-student interaction and connect key knowledge points.The teaching content introduced scientific stories and interesting challenges

which enriched the content and cultivates learning interest.The advanced machine learning technique-based practice exam was applied to enhance the capability of independent learning and explore advanced technologies.Consequently

the reform measures have been successfully applied in the machine learning teaching practice of Academician Binxing Fang undergraduate preparatory class of Guangzhou University

improving the teaching performance of machine learning course.

关键词

Keywords

references

纪守领 , 李进锋 , 杜天宇 , 等 . 机器学习模型可解释性方法,应用与安全研究综述 [J ] . 计算机研究与发展 , 2019 , 56 ( 10 ): 26 - 29 .

JI S L , LI J F , DU T Y , et al . Survey on techniques,applications and security of machine learning interpretability [J ] . Journal of Computer Research and Development , 2019 , 56 ( 10 ): 26 - 29 .

曲衍鹏 , 邓安生 , 王春立 , 等 . 面向机器学习课程的教学改革实践 [J ] . 计算机教育 , 2014 , 1 ( 19 ): 88 - 92 .

QU Y P , DENG A S , WANG C L , et al . Teaching reform practice for machine learning courses [J ] . Computer Education , 2014 , 1 ( 19 ): 88 - 92 .

杨泽 . 面向本科“机器学习”课程教学改革探索 [J ] . 无线互联科技 , 2020 , 17 ( 18 ): 3 - 6 .

YANG Z . Exploration on teaching reform of machine learning course for undergraduate [J ] . Wireless Interconnection Technology , 2020 , 17 ( 18 ): 3 - 6 .

李晋蓉 , 张高煜 . 机器学习实践课程教学改革 [J ] . 科技创新导报 , 2021 , 18 ( 2 ): 3 - 8 .

LI J R , ZHANG G Y . Teaching reform of machine learning practice course [J ] . Science and Technology Innovation Guide , 2021 , 18 ( 2 ): 3 - 8 .

李勇 . 本科机器学习课程教改实践与探索 [J ] . 计算机教育 , 2015 , 6 ( 13 ): 63 - 66 .

LI Y . Teaching reform practice and exploration of machine learning courses for undergraduate [J ] . Computer Education , 2015 , 6 ( 13 ): 63 - 66 .

王雷全 , 吴春雷 , 郭晓菲 . 机器学习科研实践课程建设 [J ] . 电子世界 , 2022 , 17 ( 3 ): 50 - 51 .

WANG L Q , WU C L , GUO X F . The curriculum construction of Machine learning research and practice [J ] . Electronics World , 2022 , 17 ( 3 ): 50 - 51 .

蒋磊 , 张丽 , 闫俊 , 等 . 机器学习实践课程教学改革探讨 [J ] . 教育现代化 , 2020 , 7 ( 56 ): 80 - 83 .

JIANG L , ZHANG L , YAN J , et al . Discussion on teaching reform of machine learning practice course [J ] . Education normalization , 2020 , 7 ( 56 ): 80 - 83 .

吴宁 , 祁海 , 王银银 , 等 . 挑战性学习模式在医学免疫学教学改革中的实践 [J ] . 中国免疫学杂志 , 2019 , 35 ( 1 ): 99 - 103 .

WU N , QI H , WANG Y Y , et al . Application of challenge-based learning in medical immunology course [J ] . Chinese Journal of Immunology , 2019 , 35 ( 1 ): 99 - 103 .

林培锦 . 勒温场理论下当代大学生学习兴趣的培养探究 [J ] . 中国大学教学 , 2015 , 2 ( 6 ): 67 - 71 .

LIN P J . Research on the cultivation of the contemporary college students' learning interest under Lewin field theory [J ] . Chinese University Teaching , 2015 , 2 ( 6 ): 67 - 71 .

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