创新创业理论研究与实践 ›› 2023, Vol. 6 ›› Issue (23): 58-60.

• 教学革新 • 上一篇    下一篇

新工科背景下机器视觉课程的问题式教学法改革

蒋大成, 陈超波, 马天力, 赵素平, 朱楠   

  1. 西安工业大学 电子信息工程学院,陕西西安 710021
  • 发布日期:2024-04-15
  • 作者简介:蒋大成(1991—),男,河北辛集人,博士研究生,讲师,研究方向:机器视觉、深度学习。
  • 基金资助:
    中国电子教育学会研究生教育分会2022年度研究生教育改革与实践研究课题“研究生导师团队建设与研究生创新能力培养的研究”(202208)

The Reform of Problem-Based Teaching Method in Machine Vision Curriculum under the Background of New Engineering

JIANG Dacheng, CHEN Chaobo, MA Tianli, ZHAO Suping, ZHU Nan   

  1. School of Electronic Information Engineering, Xi'an Technological University, Xi'an Shaanxi, 710021, China
  • Published:2024-04-15

摘要: 机器视觉是新工科机器人工程专业的核心课程,其传统教学法存在一定的问题。通过启发式教学思想提出了问题式教学方法,可以改善当前课程教学存在的不足,有效激发学生的学习兴趣,提高教学质量和效果。两级式问题教学方法的创造与改进解决了问题式教学法在内容快速更新的课程中应用的难点,使得在高迭代的新工科应用型课程中可以较高质量地应用问题式教学法。改革后的机器视觉课程可以快速迭代最新的工程知识,使学生在问题的引导下将理论学习与实践应用相结合,提升教学效果,将学生培养成为行业所需的人才。

关键词: 问题式教学, 新工科, 机器视觉, 机器人工程, 实践教学, 两级式问题教学

Abstract: Machine vision is the core course of the new engineering subject robot engineering, and there are certain problems with the traditional teaching method of this course. A problem-based teaching method has been proposed through heuristic teaching ideas, which can improve the shortcomings of current curriculum teaching, effectively stimulate students'learning interest, and improve teaching quality and effectiveness. The creation and improvement of two-level problem-based teaching methods have solved the application difficulties of problem-based teaching methods in courses with rapidly updated content, enabling high-quality application of problem-based teaching methods in high iteration new engineering applied courses. The reformed machine vision course can quickly iterate the latest engineering knowledge, enabling students to combine theoretical learning with practical application under the guidance of problems, improve teaching effectiveness, and cultivate students into the talents required by the industry.

Key words: Problem-based teaching, New engineering, Machine vision, Robot engineering, Practical teaching, Two-level problem teaching

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