中国农业机械化科学研究院集团有限公司 主管

北京卓众出版有限公司 主办

基于BOPPPS的课程思政教学模式在大数据技术基础课程中的应用

Application of ideological and political education teaching model based on BOPPPS in Big Data Technology Basics

  • 摘要: 大数据技术基础是农业工程类专业的必修课程,教师在授课过程中侧重大数据抽象理论知识的讲解,课程思政元素植入生硬,存在学生学习兴趣不足、育人目标与专业教学脱节等问题。鉴于此,提出将结构化的BOPPPS教学模式与课程思政教学进行深度融合的策略。以大数据隐私与安全为例,将课程思政元素有机嵌入BOPPPS教学模式的导入、目标、前测、参与式学习、后测和总结各阶段,完整展现从教学资源组织、教学实施到教学评价的全过程。理论分析与教学实践表明,基于BOPPPS的课程思政教学模式有效提升课堂互动性与学生参与度,实现价值塑造与知识传授的自然统一,为专业课程开展思政教育提供了可复制、可推广的有效路径。

     

    Abstract: Big Data Technology Basics is a compulsory course for agricultural engineering majors.However, teaching process often overemphasizes abstract theoretical knowledge, incorporates ideological and political education elements in a rigid manner, leading to issues such as insufficient student engagement and a disconnection between educational goals and professional instruction.Therefore, an integrated strategy was proposed to combine structured BOPPPS teaching model with ideological and political education.Taking big data privacy and security as an example, ideological and political education elements were organically embedded into each phase of BOPPPS model, including bridge-in, objective, pre-assessment, participatory-learning, post-assessment, and summary, thereby comprehensively demonstrating entire teaching process from resource organization, implementation to evaluation.Theoretical analysis and teaching practice have indicated that BOPPPS-based integrated ideological and political education model significantly enhance classroom interaction and student engagement, achieveing a natural integration of value cultivation and knowledge transmission.It provides a replicable and scalable effective pathway for implementing ideological and political education in specialized courses.

     

/

返回文章
返回