面向生成式对话式AI融合的学习管理系统（LMS）与教学策略设计
Designing LMS and Instructional Strategies for Integrating Generative-Conversational AI
AI总结：
针对高等教育个性化、可扩展教学的痛点，本研究采用设计型研究方法，构建了融合生成式与对话式AI的模块化AI-LMS框架，配套符合多学习理论的教学策略与伦理保障，为教育AI落地提供实用模型。
摘要：
高等教育在提供个性化、可扩展且符合教学逻辑的学习体验方面面临着日益严峻的挑战。本研究提出了一个结构化框架，用于设计集成生成式AI与对话式AI的AI驱动学习管理系统（AI-LMS），以支持自适应、交互式、以学习者为中心的教学。研究采用设计型研究（DBR）方法，框架通过五个阶段逐步构建：文献综述、SWOT分析、伦理-教学原则制定、系统设计以及教学策略拟定。最终形成的AI-LMS具备模块化组件，包括可配置提示、自适应反馈循环以及多智能体对话流程，与行为主义、建构主义、联通主义学习理论等教学范式相契合。通过将AI能力与以人为本的设计、伦理保障相结合，本研究提出了一种教育领域AI融合的实用模型。未来研究将通过实际部署对系统进行验证和优化。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
