arXiv:2511.06779cs.MMcs.AI2025-11

用综合认知发展框架提升计算教育中的创造性反思能力

Pedagogical Reflections on the Holistic Cognitive Development (HCD) Framework and AI-Augmented Learning in Creative Computing

  • 融合设计思维与反思实践,构建支持自主学习的教育框架
  • 实证显示学生反思深度、反馈质量与自主性显著提升
  • 适合关注教育创新与AI辅助学习的研究者和教师

本文拓展了综合认知发展(HCD)框架在计算教育中反思性与创造性学习的应用。该框架整合设计思维、体验式学习与反思实践,形成以自主性、所有权与支架支持为核心的建构主义教学模式,已在游戏设计(CS3247、CS4350)、虚拟现实(CS4240)及扩展现实系统课程中应用。学生通过反复的思考、创作、批判与反思循环参与学习。论文还探讨了iReflect、ReflexAI及知识图谱增强的LLM反馈工具如何通过可扩展、个性化的反馈机制实现HCD框架。实证结果表明,学生的反思深度、反馈质量与学习自主性均得到提升。研究倡导在指导中保持支持性自主,让学生在结构化反思与反馈中开展自我导向探究。

原文摘要 · Abstract (English)

This paper presents an expanded account of the Holistic Cognitive Development (HCD) framework for reflective and creative learning in computing education. The HCD framework integrates design thinking, experiential learning, and reflective practice into a unified constructivist pedagogy emphasizing autonomy, ownership, and scaffolding. It is applied across courses in game design (CS3247, CS4350), virtual reality (CS4240), and extended reality systems, where students engage in iterative cycles of thinking, creating, criticizing, and reflecting. The paper also examines how AI-augmented systems such as iReflect, ReflexAI, and Knowledge Graph-enhanced LLM feedback tools operationalize the HCD framework through scalable, personalized feedback. Empirical findings demonstrate improved reflective depth, feedback quality, and learner autonomy. The work advocates a balance of supportive autonomy in supervision, where students practice self-directed inquiry while guided through structured reflection and feedback.

教育技术反思学习AI辅助教学

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