SXSW EDU 2020
Navigating Research Uncertainty with UI/UX Design
Description:
The science of learning commonly concerns student outcomes. However, it also applies to how practitioners process data—often, in the face of incomplete information or uncertainty. Designing, conducting, and acting on findings from research can require a level of statistical literacy that many educators don’t possess. In this workshop, we will explore the challenge of designing online tools that can help non-technical audiences collect and use evaluation data to inform their decision making.
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Takeaways
- Attendees will learn how to build trust in data that may present a paradigm shift or be perceived as a “black box” for their target audience
- Attendees will learn to apply design principles for supporting interpretation of complex data in a way that is intuitive, consumable, and actionable
- Attendees will practice applying science of learning principles through a design challenge
Speakers
- Mikia Manley, Senior Analyst, Mathematica
- Lauren Amost, Senior Researcher & Learning Scientist, Mathematica
Organizer
Mikia Manley, Senior Analyst, Mathematica Policy Research
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