创新创业理论研究与实践 ›› 2023, Vol. 6 ›› Issue (24): 127-129.

• 模式探索 • 上一篇    下一篇

高职扩招背景下OBE +分层分类的教学模式探讨——以大数据方向课程为例

王丽娟, 李静, 所辉, 奚文娟, 王雅娴   

  1. 广东机电职业技术学院,广东广州 510515
  • 发布日期:2024-04-15
  • 作者简介:王丽娟(1990—),女,广东广州人,硕士研究生,研究方向:大数据方向教学和研究。
  • 基金资助:
    广东机电职业技术学院教学改革项目“基于高职扩招背景下开展分层分类教学的研究与实践——以软件技术专业大数据方向课程为例”(YJYB2022-14); 2022年度广东省教育科学规划课题“广东省高职教师评价机制及实施路径研究”(2022JKZG003)

Discussion on OBE + Stratified and Classified Teaching Mode under the Background of Higher Vocational Enrollment Expansion——Take the Big Data Course as an Example

WANG Lijuan, LI Jing, SUO Hui, XI Wenjuan, WANG Yaxian   

  1. Guangdong Mechanical & Electrical Polytechnic, Guangzhou Guangdong, 510515, China
  • Published:2024-04-15

摘要: 高职扩招为大数据方向的教学带来了很大的机遇和挑战。OBE (成果导向教育)+分层分类的教学模式以高职大数据方向就业为导向,从学生和课程内容两个维度进行分层分类,将学生划分为多个类别,将课程内容划分为通用模块和专用模块,通过多样化的教学组织形式结合多元化的教学评价,优化大数据方向的教学。该文结合广东机电职业技术学院软件技术专业大数据方向课程采用OBE +分层分类开展教学的情况,阐述了该教学模式的实践落地。

关键词: 高职扩招, 分层分类, OBE, 认知水平, 大数据方向课程, 模块化

Abstract: The enrollment expansion of higher vocational colleges has brought great opportunities and challenges to the teaching of big data. The OBE + hierarchical classification teaching mode and guided by the employment in the direction of big data in higher vocational colleges, it carries out hierarchical classification from two dimensions of students and course content. Divide students into multiple categories, divide course content into generic and specialized modules. Through diversified teaching organization forms combined with diversified teaching evaluation, the teaching direction of big data is optimized. This paper expounds the practical landing of the teaching mode based on the situation of OBE + hierarchical classification in the big data course of software technology major in Guangdong Mechanical & Electrical Polytechnic.

Key words: Higher vocational enrollment expansion, Hierarchical classification, OBE, Cognitive level, Big data orientation course, Modularization

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