Personalized feedback plays an important role in self-regulated learning (SRL), helping students track progress and refine their strategies. However, current common solutions, such as text-based reports or learning analytics dashboards, often suffer from poor interpretability, monotonous presentation, and limited explainability. To overcome these challenges, we present StoryLensEdu, a narrative-driven multi-agent system that automatically generates intuitive, engaging, and interactive learning reports. StoryLensEdu integrates three agents: a Data Analyst that extracts data insights based on a learning objective centered structure, a Teacher that ensures educational relevance and offers actionable suggestions, and a Storyteller that organizes these insights using the Heroes Journey narrative framework. StoryLensEdu supports post-generation interactive question answering to improve explainability and user engagement. We conducted a formative study in a real high school and iteratively developed StoryLensEdu in collaboration with an e-learning team to inform our design. Evaluation with real users shows that StoryLensEdu enhances engagement and promotes a deeper understanding of the learning process.

翻译：个性化反馈在自我调节学习中扮演着重要角色，它能帮助学生追踪学习进度并优化学习策略。然而，当前常见的解决方案，如基于文本的报告或学习分析仪表盘，通常存在可解释性差、呈现形式单调以及可说明性有限等问题。为克服这些挑战，我们提出了StoryLensEdu，一个叙事驱动的多智能体系统，能够自动生成直观、引人入胜且具交互性的学习报告。StoryLensEdu整合了三个智能体：基于以学习目标为中心的结构提取数据洞察的“数据分析师”、确保教育相关性并提供可操作建议的“教师”，以及运用“英雄之旅”叙事框架组织这些洞察的“故事讲述者”。StoryLensEdu支持报告生成后的交互式问答，以提升可说明性和用户参与度。我们在真实的高中环境中进行了一项形成性研究，并与一个电子学习团队合作迭代开发了StoryLensEdu，以指导我们的设计。真实用户评估表明，StoryLensEdu增强了用户参与度，并促进了对学习过程更深入的理解。