Empirical Dataset Supporting the Validation of the PEPCII Pedagogical Design Model in TPR-Mediated Higher Education

This dataset supports the study “Validation of the PEPCII Pedagogical Design Model via Telepresence Robot Use in Higher Education.” It contains anonymised raw qualitative data and structured analytical materials generated during the empirical validation of the PEPCII pedagogical design model in synchronous hybrid higher education contexts involving telepresence robot (TPR)–mediated participation. The dataset includes materials from three stakeholder groups:(1) teachers delivering courses with TPR-mediated participation,(2) students participating remotely via telepresence robots, and(3) students physically present in the classroom. Data collection methods comprised focus group interviews and written end-of-course responses. The repository contains: anonymised interview transcripts (focus groups and written responses), pseudonymised participant identifiers, coded thematic matrices aligned with the PEPCII model components, category-level aggregation tables used in the validation analysis. The analytical structure follows a reflexive thematic analysis approach and maps empirical findings to the validated components of the PEPCII model. The dataset reflects validation in authentic instructional settings corresponding to Technology Readiness Levels (TRL) 7–9, focusing on operational demonstration, stakeholder-based validation, and sustained pedagogical applicability in synchronous hybrid environments. All data have been anonymised in accordance with the Estonian Personal Data Protection Act (2019) and the General Data Protection Regulation (EU 2016/679). Direct identifiers have been removed, indirect identifiers minimised, and quotations pseudonymised. The dataset is made available for research and academic purposes. This dataset enables transparency of the validation process, replication of the thematic coding logic, and further investigation of telepresence robot–mediated hybrid learning and pedagogical design models. Users of the dataset are responsible for ensuring that secondary use complies with applicable data protection and ethical standards.本数据集用于支撑题为《高等教育场景下依托远程临场机器人（Telepresence Robot, TPR）应用验证PEPCII教学设计模型》的研究。本数据集收录了在同步混合式高等教育场景中，依托远程临场机器人介导参与开展PEPCII教学设计模型实证验证过程中产生的匿名化原始质性数据与结构化分析材料。 本数据集涵盖三类利益相关方的相关材料：(1) 采用TPR介导参与模式开展课程教学的教师；(2) 通过远程临场机器人远程参与课程的学生；(3) 线下实体课堂在场学生。 数据采集方式包括焦点小组访谈与课程结课书面反馈。本数据集仓库包含以下内容： - 匿名化访谈转录文本（含焦点小组访谈与书面反馈） - 参与者匿名化名标识 - 匹配PEPCII模型维度的编码主题矩阵 - 验证分析中使用的类别级汇总表 本数据集采用反思性主题分析方法，将实证研究发现与PEPCII模型的验证维度进行对应映射。本数据集反映的是在真实教学场景中开展的验证工作，对应技术就绪水平（Technology Readiness Level, TRL）7至9级，聚焦于运行演示、基于利益相关方的验证以及同步混合式环境下持久的教学适用性。 所有数据均按照《爱沙尼亚个人数据保护法（2019）》与《通用数据保护条例（EU 2016/679）》要求完成匿名化处理：已移除直接标识符，最小化间接标识符，并对引述内容进行匿名化处理。本数据集仅开放用于科研与学术用途。 本数据集可实现验证过程的透明化、主题编码逻辑的复现，以及对远程临场机器人介导的混合式学习与教学设计模型的进一步研究。 数据集使用者需确保其二次使用行为符合适用的数据保护与伦理标准。