Abstract

We share "1 Dataset, 5 Visualizations" (1d5v), a peer-oriented assignment model developed and deployed across two increasingly large offerings of an undergraduate visualization course (57 and 94 students). Each week, students individually author at least five distinct visualizations of a shared dataset using an assigned tool, then engage in structured peer ranking, written critique, and in-person small-group discussion that culminates in an instructor-led debrief. This format seeks to address converging pressures faced by data visualization courses—which are often seeing growing enrollments just as generative AI tools have unsettled traditional take-home assignments and assessment practices. Our 1d5v model couples high-volume design authoring with a deliberate progression of tools—from hand sketching and physical construction through GUI charting tools to code-based libraries—and rotating, randomized teams. We describe the model's design rationale and weekly structure, and reflect on our experience from two course iterations. Specifically, we highlight how 1d5v assignments can enable greater practical engagement with design and critique and how combining manual and GUI-based authoring with in-person critique can support more transparent and generative assessment. We close by identifying concrete opportunities for purpose-built tooling, particularly to support ranking and presentation of large numbers of student visualizations, that current learning management systems don't address.

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Abstract

We examine portrayals of active and bicycle mobility in speculative fiction---highlighting the diverse ways in which authors have envisioned the intersection of interactive technologies and mobility tools, as well as how they diverge from contemporary bikeHCI research. The adoption of active mobility has deep health and sustainability implications, however the integration of novel interactive systems with both new and existing transportation modalities raises complex social and technical concerns. Speculative fiction provides rich and contrasting visions of the future of active mobility, while also capturing the zeitgeist around the collision of digital technologies with traditionally-analog forms of transport. We analyzed 106 text-based fictions, coding their key mobility-related technologies, data, interactions, and themes. We also examine how speculative futures in our corpus (which tend to center feminist and queer perspectives) relate to current trends in bikeHCI research and discuss potential new directions for active mobility tech.

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