JEN POSADA
PhD Student UMBC. Human-Centered Computing.
I design AI feedback systems for engaging with data. My work focuses on where AI can help people move through the hard parts: the analysis, the narrative, the gap between having data and saying something with it. I use personal data because it lowers the barrier to working with data.
I’ve also done research on AI support for coaching data storytelling, informal STEM education, accessible self-tracking technology design, and co-designing 3D-printed tactile maps with blind and low vision students.
Keywords: AI Feedback Systems, Data storytelling, Personal Data, Wearables, Mixed-methods, Accessibility
Contact: jposada1@umbc.edu | LinkedIn
selected publications
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Exploring Student Feedback Needs and Design Opportunities in Data Storytelling EducationIn Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026 - Understanding data story construction with a narrative comprehension lens: Implications for learning designIn Proceedings of the American Educational Research Association Annual Meeting, 2026Division C: Learning and Instruction, Section 1e (Engineering and Computer Science)
- Understanding the Sociocultural Role of Makerspace Infrastructure When Developing Community-based Technology-rich Learning ProgramsIn Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
- Personal Informatics in Undergraduate Data Science: Learning by Analyzing the SelfIn Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026
- Inquiry into accessibility service possibilities for blind and low-vision university students through co-designing a 3D-printed tactile campus mapJournal of Enabling Technologies, 2026
- Co-designing a 3D-Printed Tactile Campus Map With Blind and Low-Vision University StudentsIn Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024
- Investigating an Equity-based Participatory Approach to Technology-rich Learning in Community Recreation CentersIn Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023