AI赋能下基于BOPPPS与5E融合模型的混合式教学改革——以算法与数据结构课程为例

Hybrid Teaching Reform Integrating BOPPPS and 5E Models Empowered by AI—A Case Study of Algorithms and Data Structures

摘要: 鉴于算法与数据结构课程具有抽象性高、逻辑性强且工程实践要求高的特点，而传统教学模式面临知识内化不足、学生参与度低等瓶颈，采用AI赋能下基于BOPPPS与5E融合模型的混合式教学模式，融合BOPPPS教学模型的结构化框架与5E教学模型的探究式学习逻辑，依托AI技术重构教学资源、赋能师生交互并驱动过程性评价，重构课前、课中、课后三大教学环节。以哈夫曼树教学为例，详细阐述教学过程，通过AI驱动的学情分析、探究活动设计、AI辅助可视化教学资源设计，实现理论知识与实践应用的有机结合，培养学生主动学习能力与高阶思维，有效提升课堂教学质量。

Abstract: Given that the course Algorithms and Data Structures is characterized by high abstraction, rigorous logic and stringent requirements for engineering practice, the traditional teaching model is plagued by bottlenecks including insufficient internalization of knowledge and low student engagement. This paper adopts an AI-empowered hybrid teaching model that integrates the BOPPPS and 5E models. It combines the structured framework of the BOPPPS model with the inquiry-based learning logic of the 5E model, reconstructs teaching resources, facilitates teacher-student interaction and drives process assessment via AI technologies, and remodels the three core teaching stages: pre-class, in-class and post-class. Taking the teaching of Huffman Trees as an example, this paper elaborates on the complete teaching process. Through AI-powered learning situation analysis, inquiry activity design and AI-aided visualized teaching resource development, the model realizes the organic integration of theoretical knowledge and practical application. It cultivates students’ autonomous learning ability and higher-order thinking, and effectively improves classroom teaching quality.