Educators

This Visualization+Data Course is backward-designed from college coursework. 

Learn more about the project and additional data courses offered.

This Civics + Data module introduces data literacy through student developed Civics projects.

Learn more about the project and additional data courses offered.

These open source AI modules were developed through the NSF funded Science+C project. These modules were developed for high school students but can be easily adapted for community college students and may offer a starting point for those of you searching for AI coursework. View this video for an overview of the modules.

Memes have become ubiquitous artifacts of contemporary digital culture that integrate visual and textual components in order to communicate about a topic. They can be used as forms of visual argumentation that draw on cultural references while facilitating critical commentary that typically results in humorous and caustic dialogue. In this paper, we investigate the meme creation tool, DataMeme where middle school students explore graphs then construct GIFs using existing Gyphy GIFs and overlay their own text onto them in order to communicate about the meaning behind the data.

Effective data literacy instruction requires that learners move beyond understanding statistics to being able to humanize data through a contextual understanding of argumentation and reasoning in the real-world. In this paper, we explore the implementation of a co-designed data comic unit about adolescent friendships. The 7th grade unit involved students analyzing data graphs about adolescent friendships and crafting comic narratives to convey perspectives on that data.

The WeatherX project has developed two curriculum units for middle-school science classrooms. In the Local Unit, students collect and analyze weather data from their local area and compare with climate data to investigate: What is typical weather for our area? In the Mt. Washington Unit, students compare extreme weather in their local area and on New Hampshire's Mount Washington to investigate: What is extreme weather?

To promote understanding of and interest in working with data among diverse student populations, we developed and studied a high school mathematics curriculum module that examines income inequality in the United States. Designed as a multi-week set of applied data investigations, the module supports student analyses of income inequality using U.S. Census Bureau microdata and the online data analysis tool the Common Online Data Analysis Platform (CODAP).