Remove Childhood Remove Children Remove Language Remove Picture
article thumbnail

How to Use Storytelling for Nonprofits to Tug Heartstrings and Raise Funds

Get Fully Funded

For our fictitious story, the plot is that many children only eat one meal a day — dinner. For example, our plot is that many children eat one meal a day and do poorly in school. They’re just overall happier children, and their success at school sets them up for success later in life! What is happening in your hero’s life?

article thumbnail

AFP ICON 2023 Recap

Qgiv

They defined data visualization as the representation of information in the form of a chart, diagram, or picture. Storyboarding can help you understand the full picture of what you want to show and what the most important aspect is to focus on.” Emily and Joe recommend to begin with planning before you ever look at your data.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

New Models for Children's Museums: Wired Classrooms?

Museum 2.0

I kept sneaking glances at his screen, watching it fill with words like “Web 2.0,” “virtual worlds,” and pictures of kids tuning out teachers and tuning in their cellphones. But the more I learned, the more I wondered where the real threat is, and why children's museums have been so resistant to change.

article thumbnail

Designing Interactives for Adults: Put Down the Dayglow

Museum 2.0

In children's museums and science centers, this relationship is at its most extreme. The common museum knowledge on this issue is that adults are timid, that we have lost some of the wonder, impulsiveness, and active creativity of childhood days. The language of the prompt--and the whole idea of the activity--is adult-oriented.

article thumbnail

Report Back from the Do Good Data Conference 2015

NTEN

Personally, I have been futzing around with learning R (a statistical/data manipulation language) and have passing knowledge of a lot of the concepts that these fellows addressed—machine learning, natural language processing, etc. The number is used diagnostically, as an important part of the big picture.

Data 36