BOPPPS模式下统计计算混合式教学研究

Research on Blended Teaching of Statistical Computing under the BOPPPS Model

摘要: 针对统计计算课程教学中存在理论抽象、实践性强、学生参与度低等问题，本文基于BOPPPS模型构建了线上线下混合式的教学模式。通过整合微课、虚拟仿真等数字化资源，设计“导学–目标–前测–参与式学习–后测–总结”六环节教学流程。通过课前微课闯关(嵌入代码填空与前测题)、课中“案例–算法–误差分析”三维互动、课后跨学科项目拓展(如医学数据缺失处理与金融风险评估)，实现“理论–实现–应用”的全链条能力培养。实践表明，该模式显著提升了学生的编程实践能力和统计建模素养。研究为理工科课程融合BOPPPS模型与混合式教学提供了可复制的范式。

Abstract: To address the challenges of abstract theories, strong practical requirements, and low student engagement in statistical computing courses, this study developed an online-offline blended teaching model based on the BOPPPS framework. By integrating digital resources such as micro-lectures and virtual simulations, we designed a six-step teaching process: “Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment, and Summary”. Through pre-class micro-lesson challenges (embedded code fill-in-the-blank and pre-test questions), in-class three-dimensional interaction of “case-algorithm-error analysis”, and post-class cross-disciplinary project expansion (such as handling of missing medical data and financial risk assessment), the full-chain ability cultivation of “theory-implementation-application” is achieved. Practice has shown that this model has significantly enhanced students’ programming practice ability and statistical modeling literacy. The research provides a replicable paradigm for integrating the BOPPPS model with blended teaching in science and engineering courses.