首页|人工智能赋能"计算材料学"海洋特色化教学的改革与实践

人工智能赋能"计算材料学"海洋特色化教学的改革与实践

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针对"计算材料学"课程理论性强、学生知识盲区多、课程缺乏特色、教学内容陈旧等问题,通过人工智能技术与课堂教学的深度融合,打造课程先修知识库、海洋材料计算模拟应用案例库、材料计算模拟+人工智能赋能新材料研发案例库、自主探究素材库、课程思政案例库,完善了学生的理论知识体系,形成了海洋材料特色化的授课内容,引入了人工智能科技前沿,实现了知识教学与思政渗透的有机结合,提升了教学效果与学生的科研创新能力.文中提出的教学改革策略可为高校人工智能赋能相关课程的特色化教学改革提供参考.
Reform and practice of marine featured teaching in"Computational Materials Science"under the background of artificial intelligence empowerment
In response to the problems of strong theoretical basis,multiple knowledge blind spots,lack of distinctive features,and outdated teaching content in the course of"Computational Materials Science",a deep integration of ar-tificial intelligence technology and classroom teaching has been achieved.By constructing pre-course knowledge ba-ses,marine material calculation simulation application case bases,material calculation plus artificial intelligence em-powered new material research and development case bases,independent exploration material bases and ideological and political case bases,the students'theoretical knowledge system have been improved.A distinctive teaching con-tent for marine materials is formed.A cutting-edge artificial intelligence technology is introduced.The organic com-bination of knowledge teaching and ideological and political infiltration is achieved.Finally,the teaching effective-ness and students'scientific research and innovation ability are improved.The teaching reform strategy proposed in this paper can provide reference for the characteristic teaching reform of the courses related to artificial intelligence empowerment in universities.

artificial intelligencemarine characteristicsmaterial simulationreform in educationComputational Materials Science

李文、李振、冯荟蒙、王巍、陈守刚

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中国海洋大学材料科学与工程学院,青岛 266404

中国石油大学(华东)材料科学与工程学院,青岛 266580

人工智能 海洋特色 材料模拟计算 教学改革 计算材料学

2024

武汉轻工大学学报
武汉工业学院

武汉轻工大学学报

影响因子:0.356
ISSN:1009-4881
年,卷(期):2024.43(6)