首页|"三教"改革视域下高职大数据专业课分层教学的实践与探索——以Python课程为例

"三教"改革视域下高职大数据专业课分层教学的实践与探索——以Python课程为例

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"三教"改革作为教育领域的重要改革方向,旨在通过教师、教材、教法的全面革新,提升教育质量和效率,以适应社会对高素质人才的需求。在这一背景下,高职大数据专业作为培养大数据领域专业人才的重要基地,其改革与发展显得尤为重要。文章以高职院校的Python课程为例,深入探讨了大数据专业课程分层教学的实施背景、设计与实践,并基于成效与反思提出了相关建议,旨在为高职院校大数据专业Python课程的分层教学提供参考,从而促进学生的个性化发展和教学质量的提升。
Practice and Exploration of Layered Teaching of Big Data Professional Courses in Higher Vocational Education from the Perspective of"Three Education"Reform——Taking Python Course as an Example
As an important reform direction in the field of education,the"Three Education"reform aims to improve the quality and efficiency of education through comprehensive reforms of teachers,textbooks,and teaching methods,in order to meet the demand for high-quality talents in society.In this context,as an important base for cultivating professionals in the field of big data,the reform and development of vocational big data majors are particularly important.The article takes the Python course in vocational colleges as an example to explore in depth the implementation background,design,and practice of hierarchical teaching in big data majors.Based on the effectiveness and reflection,relevant suggestions are proposed,aiming to provide reference for the hierarchical teaching of Python courses in big data majors in vocational colleges,thereby promoting students'personalized development and improving teaching quality.

three education reformhigher vocationalbig data professional courselayered teachingPython course

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贵州农业职业学院 贵州 贵阳 551400

三教改革 高职 大数据专业课 分层教学 Python课程

2024

科教导刊
湖北省科学技术协会

科教导刊

影响因子:0.225
ISSN:1674-6813
年,卷(期):2024.(25)
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