构建可定制的AI教学系统，让智能辅导更懂教育规律。
Designing LMS and Instructional Strategies for Integrating Generative-Conversational AI
- 分五阶段设计框架，融合教育理论与AI能力
- 支持自适应反馈和多智能体对话，提升互动性
- 适合教育科技开发者与课程设计者参考
高等教育面临个性化、规模化与教学连贯性挑战。本研究提出一种结构化框架，用于设计集成生成式与对话式AI的AI-LMS，以支持自适应、互动性强且以学习者为中心的教学。采用设计型研究（DBR）方法，框架包含五个阶段：文献综述、SWOT分析、伦理-教学原则制定、系统设计与教学策略形成。该AI-LMS具备模块化组件，包括可配置提示、自适应反馈回路与多智能体对话流，契合行为主义、建构主义与联通主义等学习理论。通过结合AI能力与以人为本的设计及伦理保障，本研究推进了教育中AI应用的实践模型。未来研究将通过真实场景实施验证并优化系统。
原文摘要 · Abstract (English)
Higher education faces growing challenges in delivering personalized, scalable, and pedagogically coherent learning experiences. This study introduces a structured framework for designing an AI-powered Learning Management System (AI-LMS) that integrates generative and conversational AI to support adaptive, interactive, and learner-centered instruction. Using a design-based research (DBR) methodology, the framework unfolds through five phases: literature review, SWOT analysis, development of ethical-pedagogical principles, system design, and instructional strategy formulation. The resulting AI-LMS features modular components -- including configurable prompts, adaptive feedback loops, and multi-agent conversation flows -- aligned with pedagogical paradigms such as behaviorist, constructivist, and connectivist learning theories. By combining AI capabilities with human-centered design and ethical safeguards, this study advances a practical model for AI integration in education. Future research will validate and refine the system through real-world implementation.
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