This chapter examines how data analytics can be leveraged to enhance immersive teacher simulations, situating this inquiry within the broader learning sciences discourse on embodied cognition, data-informed feedback, and teacher professional learning. It explores both conceptual foundations and empirical cases to illustrate how analytics serve as mediational tools that connect immersive experiences with reflective teaching practice. The chapter unfolds in multiple sections: (1) The Innovation Journey: An Overview of Immersive Teacher Simulations outlines the evolution from traditional simulations to XR-based environments, highlighting the need for professional decision-making under realistic constraints. (2) Innovation in Existing Research and Practice situates teacher analytics within the trajectory from descriptive observation to multimodal and predictive modeling. (3) Study Approach and Design details how multimodal data-discourse, behavior, and gaze-from the TeacherGen@i simulation were collected and organized to reveal cognitive distribution of pedagogical discourse and interaction patterns. (4) Findings present the cognitive distribution of preservice teachers' pedagogical discourse and the sequential interaction patterns that emerge in exchange, illustrating how multimodal analytics make pedagogical reasoning processes visible within immersive simulations. (5) Understanding Innovative Practices in Teacher Education examines teaching analytics to enhance immersive teacher simulation based on the findings of the study. (6) Key Takeaways of the Innovation Journey identifies research challenges and design implications for scalable, analytics-enhanced teacher education. Together, these sections position immersive teacher simulations as a pivotal testbed for aligning learning analytics, professional learning, and next-generation immersive learning environment design.

翻译：本章探讨如何利用数据分析增强沉浸式教师模拟，将这一研究置于学习科学领域关于具身认知、数据驱动反馈与教师专业发展的宏观论述中。通过理论基础与实证案例的双重考察，阐明分析技术如何作为中介工具连接沉浸式体验与反思性教学实践。全章分为六个部分：（1）创新历程：沉浸式教师模拟概述——梳理从传统模拟到XR环境的演进脉络，强调真实约束下专业决策能力的培养需求；（2）现有研究与实践中的创新——将教师分析技术置于从描述性观察到多模态预测模型的发展轨迹中定位；（3）研究方法与设计——详述如何通过TeacherGen@i模拟系统收集并整合话语、行为、注视等多模态数据，以揭示教学话语的认知分布与互动序列模式；（4）研究发现——呈现职前教师教学话语的认知分布及其在交互中涌现的序列模式，阐明多模态分析如何使沉浸式模拟中的教学推理过程可视化；（5）教师教育创新实践解读——基于研究发现探讨如何运用教学分析优化沉浸式教师模拟；（6）创新历程的核心启示——指出可扩展的分析增强型教师教育面临的研究挑战与设计启示。各章节共同将沉浸式教师模拟定位为连接学习分析、专业发展与新一代沉浸式学习环境设计的关键实验场。