Data for: Teaching with Shared Data for Learning Qualitative Data Analysis: A Multi-Sited Case Study of Instructor and Student Experiences

<h3> Project Overview</h3>
<p>This study investigates the teaching methods used by two instructors of qualitative research methods at two different academic institutions (Site A and Site B) to integrate data analysis instruction into their curricula. Situated within the theoretical frameworks of active learning, this work draws upon contemporary scholarship that underscores the importance of student engagement through hands-on analytical activities. We specifically focus on the concept of “shared data” – defined as data collected or archived by others, such as datasets sourced from online repositories or anonymized collections prepared by educators for teaching demonstrations – and examine how these resources are utilized. Employing a qualitative case-study design, this project analyzes how each instructor leverages shared data differently to facilitate skill-building in qualitative data analysis, specifically considering both an introductory and advanced context. By juxtaposing these instructional practices, this study offers insights into the nuanced applications of shared data in qualitative research education and highlights the role of data type, course level, and instructional environment in shaping students’ analytical competencies.</p>

<h3> 项目概述</h3><p>本研究针对两所不同学术机构（A站点与B站点）的两位质性研究方法（qualitative research methods）授课教师的教学方法展开调研，聚焦其将数据分析教学融入课程体系的具体路径。本研究立足主动学习（active learning）理论框架，借鉴当代学术研究成果——该类研究强调通过实操性分析活动提升学生参与度的重要价值。我们特别聚焦“共享数据（shared data）”这一概念：其定义为他人收集或归档的数据，例如从在线存储库（online repositories）获取的数据集，或是教师为教学演示准备的匿名化合集，并考察此类资源的具体应用方式。本研究采用质性案例研究设计（qualitative case-study design），分析两位教师如何差异化地利用共享数据，助力学生提升质性数据分析技能，同时兼顾入门与进阶两类课程场景。通过对比两组教学实践，本研究揭示了共享数据在质性研究教育中的精细化应用逻辑，并阐明了数据类型、课程层级与教学环境对学生分析能力培养的塑造作用。</p>