“BOPPPS + 云平台 + 微项目”的深度学习整合方案研究：基于大学生学习情绪投入视角

Deep Learning Integration Scheme Based on “BOPPPS +Cloud Platform + Micro-Project”: From the Perspective of College Students’ Emotional Engagement

摘要: 教育智能化时代，培养学生的深度学习能力已成为当前教育教学的核心诉求。然而，随着智能化所带来的知识数量和获取形态的数量级倍增，学生的深度学习反而愈发依赖于对学习者情绪投入状态的精准洞察与有效调控。在此背景下，本研究以学生学习情绪的动态演化为整合逻辑，以BOPPPS模型结构化调控、云平台个性化支持与微项目体验感驱动为教学设计的核心，探讨并提出系统性地维护学生学习情绪与深度学习的方案。

Abstract: In the era of intelligent education, cultivating students’ deep learning ability has become the core demand of current education and teaching. However, with the largely increasing number of knowledge brought about by AI, students’ deep learning is increasingly dependent on accurate observation and effective regulation of learners’ emotional engagement. This study takes the dynamic evolution of College Students’ learning emotions as the integration logic, and the structural control of collaborative BOPPPS model, personalized support of cloud platform and micro-project experience drive as the core of teaching design, to explore and propose a deep learning scheme to systematically maintain college students’ emotions and deep learning.