Supplementary Data Toward an AI-Enhanced Relational–Mechanistic Framework for ELT: A CIMO-Based Evidence Synthesis of Ecosystemic Governance in Open and Distributed Learning

This repository contains the complete supplementary materials (SM01–SM06) supporting the systematic review titled “Toward an AI-Enhanced Relational–Mechanistic Framework for ELT: A CIMO-Based Evidence Synthesis of Ecosystemic Governance in Open and Distributed Learning and version 2.0 Title: Configurational Rupture and Ecosystemic Governance: An Integrated CIMO-Based Framework for AI-Enhanced ELT"” The dataset includes full inclusion–exclusion protocols, quality appraisal matrices (JBI, MMAT, AMSTAR-2), hybrid thematic coding framework, complete CIMO mapping matrix for 111 empirical studies (2015–2025), cross-level governance synthesis matrices, and negative case analysis with governance failure typology. All materials are provided to ensure methodological transparency, intercoder reliability verification (κ ≥ 0.80), configurational replication, and secondary analytical reuse. The repository operationalizes open science principles in qualitative evidence synthesis and supports further research on AI-supported ELT integration, ecosystemic governance, and digital justice in open and distributed learning contexts. All online supplementary materials (SM01–SM07) are deposited in the Zenodo repository and include: SM01: Inclusion–Exclusion Criteria and Full Search Strategy SM02: Quality Appraisal Matrices (JBI, MMAT, AMSTAR-2) and Scoring Protocol SM03: Matrix Quality Assessment + Relevance to RQ SM04: Matrix Hybrid Thematic + CIMO Mapping SM05: Matrix Validation & Negative Case Analysis SM06: Matrix Distribution of Themes per CIMO Dimension and Research Question (RQ1–RQ4) SM07: Pedagogical Technology SM08: Governance Pathways SM09: ICGF Framework SM10. References SM11. Source XML Files for Visualizations (draw.io) These materials provide detailed coding protocols, intercoder reliability documentation (κ ≥ 0.80), abstraction procedures, and full configurational mapping across Context–Intervention–Mechanism–Outcome dimensions. In addition, the following appendices are included within the main manuscript file: Appendix A: Governance Failure Architecture and Level-Specific Risk Amplification Patterns Appendix B: Full Configurational Mapping of Propositions Across Contextual Variations Appendix C: Cross-Regional Governance Alignment Matrix Appendix D: Coding Reliability AND CIMO Abstraction Process Appendix E: Conceptual Architecture and Functional Roles of Theoretical Components Appendix F: Proposition-Level Articulations with Full Citations Appendix G: Comparative Analysis of AI-in-Education Frameworks Appendix H: Configurational Gaps and Future Research Agenda Appendix I: Micro-Practices of Teacher Mediation—Operationalizing the "Black Box" Together, the supplementary materials and appendices provide complete methodological transparency, enabling independent verification of analytical procedures and facilitating future configurational replication studies.本仓库包含支持下述系统综述的全部补充材料（SM01–SM06），该综述标题为《面向AI赋能的英语语言教学（English Language Teaching, ELT）关系-机制框架：基于情境-干预-机制-结果（Context-Intervention-Mechanism-Outcome, CIMO）的开放分布式学习生态治理证据综合》，其2.0版本标题为《构型断裂与生态治理：面向AI赋能的ELT的整合CIMO框架》。 本数据集包含完整的纳入排除方案、质量评价矩阵（JBI、MMAT、AMSTAR-2）、混合主题编码框架、111项2015–2025年实证研究的完整CIMO映射矩阵、跨层级治理综合矩阵，以及带有治理失败类型学的负面案例分析。 所有材料均旨在保障方法学透明度、编码者间信度验证（κ≥0.80）、构型可重复性与二次分析复用。本仓库践行定性证据综合领域的开放科学原则，可为开放分布式学习场景下AI赋能的ELT整合、生态治理以及数字正义相关研究提供支持。 全部在线补充材料（SM01–SM07）已存档至Zenodo仓库，具体包括： SM01：纳入排除标准与完整检索策略 SM02：质量评价矩阵（JBI、MMAT、AMSTAR-2）与评分方案 SM03：矩阵质量评估及与研究问题的相关性 SM04：混合主题矩阵与CIMO映射 SM05：矩阵验证与负面案例分析 SM06：基于CIMO维度与研究问题（RQ1–RQ4）的主题分布矩阵 SM07：教学技术 SM08：治理路径 SM09：整合性构型治理框架（ICGF Framework） SM10：参考文献 SM11：可视化素材源XML文件（draw.io格式） 上述材料提供了详细的编码方案、编码者间信度文档（κ≥0.80）、抽象流程，以及跨情境-干预-机制-结果维度的完整构型映射。 此外，主稿件文件中包含以下附录： 附录A：治理失败架构与层级特异性风险放大模式 附录B：跨情境变体的命题完整构型映射 附录C：跨区域治理对齐矩阵 附录D：编码信度与CIMO抽象流程 附录E：理论组件的概念架构与功能角色 附录F：带完整引文的命题层级阐述 附录G：教育AI框架的比较分析 附录H：构型缺口与未来研究议程 附录I：教师调解的微观实践——“黑箱”的操作化 上述补充材料与附录共同提供了完整的方法学透明度，可实现分析流程的独立验证，并助力后续构型可重复性研究。