摘要
机器学习课程是面向高等学校人工智能、数据科学和大数据技术等计算机专业本科生开设的专业基础课程。结合机器学习课程的特点和教学现状,针对在教学过程中实践环节较少、创新能力有待提高、学生学科竞赛参与度不高等问题,课程团队从教学体系、教材内容、教学平台、教学方法和教学质量反馈等多个方面进行改革,提出基于百度飞桨AI Studio平台的教学模式改革方案。该方案通过在机器学习课程教学中增加实践性教学环节,以及开创新的教学实践平台——百度飞桨AI Studio平台,开展“课赛融合”教学模式的人才培养方法。经过该教学改革的实践,学生学习机器学习课程的兴趣逐渐浓厚,参与人工智能相关比赛的队伍数和质量得到一定的提高,学生的创新思维、实验技能得到一定的锻炼,同时课上所学的理论知识在课赛融合中也得到巩固,该课程的教学改革提高学生们学以致用的能力。
Machine Learning is a fundamental professional course for undergraduates majoring in artificial intelligence,data science and big data technology.In consideration of the characteristics of the Machine Learning course and the current teaching-based limitations such as lacking practical links,innovativations,and performance in disciplinary competitions,etc.,the teaching group oversees the current teaching framework including the contents of the materials,platforms,methods,class feedback,and other aspects.Finally we put forward teaching mode reform based on the Baidu PaddlePaddle AI Studio platform.By adding practical teaching links in the Machine Learning course teaching and developing a new teaching practice platform-Baidu PaddlePaddle AI Studio platform,pushing the cultivation way of lecturing and competition meta teaching.After the trial of this teaching reform,students'enthusiasm in learning the course has gradually increased,together with the number and quality of teams participating in AI-related competitions increased,students'innovative thinking and experimental skills improved,and knowledge learned from lecture consolidated,which can be great of benefit for students taking the course.In conclusion,this teaching reform has greatly improved students'ability to apply those learned in class.
出处
《高教学刊》
2025年第8期122-125,共4页
Journal of Higher Education
基金
江苏省研究生科研与实践创新计划项目“基于校企联合创新中心模式的研究生产业实践培养机制研究”(JGKT22_C071)
苏州大学未来科学与工程学院教育教学改革课题一般项目“基于百度飞桨AI Studio三阶递进教学模式探索”(无编号)。
关键词
高校
课程教学改革
课赛融合
机器学习
百度飞桨AI
Studio平台
higher education school
curriculum teaching reform
integration of lecturing and competition
Machine Learning
AI studio-Baidu PaddlePaddle platform
