The Great Connector: Why Data Literacy is Vital to Students’ Future Success
Being literate allows you to live and navigate the world. Being literate in data lets you thrive in it.
You can hardly make it through one quick scan of the news or scroll through social media without finding a new discussion about artificial intelligence (AI). The same holds true within education discourse.
According to a 2023 Pew Research Center survey, U.S. teachers’ opinions on the use of AI tools in K-12 education remain divided, with 32% believing there’s an equal mix of benefit and harm, 35% indicating they’re not sure, and 25% citing more harm than benefit. Just last month, the federal government issued its first official guidance for K-12 schools to navigate the emerging technology.
Whether you support it, fear it, or just don’t quite understand it, AI is poised to fundamentally shape how we learn and consume information — and sooner than one might think. Students must be ready to meet this moment.
Understanding the basic processes that fuel AI require data literacy. That is as fundamental to navigating society as traditional reading and writing skills. Parents need to understand that this isn’t just a technological “wave of the future.” Equipping students with these skills now is critical for their future success and for maintaining a well-informed society.
A foundation in data literacy goes beyond preparing students for future jobs in science, technology, engineering, and mathematics (STEM), which alone are projected to grow twice as fast as other careers over the next decade. We experience data literacy every day in many routine ways — from understanding our electric bill, to managing personal finances, or evaluating a nutrition label.
Data literacy is everywhere, which means that everyone benefits from data science education.
While data science refers to a subject that can be integrated into common curricula like math, science, and computer programming, data literacy refers to the collection of technical, critical thinking, and communication skills needed to make data useful and understood in the real world.
Together, they give students the tools to comprehend data, think thoughtfully and analytically as they engage with AI technologies, and form their own informed perspectives on the world — all of which contribute to their lifelong learning potential.