Title: Enhance Preparation for Future Learning through Decision-Rich Data Visualization Learning Environments: A Design-Based Research with Middle School Students 

 

Ph.D. Student in Human-centered Computing 

School of Interactive Computing 

Georgia Institute of Technology 

 

Committee: 

Dr. Jessica Roberts (Advisor) - School of Interactive Computing, Georgia Institute of Technology

Dr. Alex Endert - School of Interactive Computing, Georgia Institute of Technology

Dr. Judith Odili Uchidiuno - School of Interactive Computing, Georgia Institute of Technology

Dr. Ben Rydal Shapiro - Department of Learning Sciences, Georgia State University

 

This proposed dissertation study examines how decision-rich data visualization learning experiences can support K–12 students’ preparation for future data learning (PFL) by fostering their epistemic data agency (EDA). Data literacy is increasingly recognized as a core competency, yet instructional approaches that improve accessibility often rely on pre-curated data, predefined questions, and automated tools, limiting students’ opportunities to engage in the epistemic decision-making central to authentic data practices. To address this tension, this study foregrounds EDA as learners’ capacity to take responsibility for decisions in problem framing, representation, interpretation, and communication. It introduces decision-rich learning environments that preserve, make visible, and enable such decisions. Using a design-based research approach across iterative summer camp implementations, the study draws on video analysis, student artifacts, and pre/post assessments to examine how students enact EDA and how these practices relate to PFL. Findings aim to contribute to an operationalized framework of EDA and PFL, and design principles for supporting transferable data literacy through decision-rich learning experiences.