文章摘要
“人工智能基础”课程教学改革与实践1
Course Reform and Practice of Artificial Intelligence Foundation
投稿时间:2021-07-12  修订日期:2022-11-21
DOI:
中文关键词: 人工智能  启发式教学  教学闭环
英文关键词: artificial intelligence  heuristic teaching  teaching closed loop
基金项目:湖南省普通高等学校教学改革研究项目(项目编号:HNJG-2021-0271),教育部高等教育司产学合作协同育人项目(项目编号:201802136058)
作者单位
刘伟  
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中文摘要:
      针对“人工智能基础”课程前沿性、实践性、探索性强的特点,尝试教学改革与实践。通过精心安排教学内容,符合认知规律的课堂设计,有机融入前沿案例和课程思政内容,形成了从课前调研到课堂讲授、再到课后反馈和持续改进的良性教学闭环,利用启发式、研讨式和翻转课堂等教学方法激发学生学习热情,提升课程教学效果。
英文摘要:
      In view of the advanced, practical and exploratory characteristics in the course of artificial intelligence foundation, we tried teaching reform and practice. Through careful arrangement of teaching content, classroom design accords with the cognitive law, and integrating into the frontier cases and ideological and political contents, a benign teaching closed loop is formed from questionnaire survey before class to classroom teaching, feedback after class and continuous improvement. The teaching methods such as heuristic, seminar and flip classroom are used to stimulate students' learning enthusiasm and enhance the teaching effect.
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