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Showing posts with the label digital literacy

5 Essential Foundations for Data Literacy

Have you ever wondered how your morning coffee choice becomes a data point? In today’s world, nearly every action—from browsing a website to tapping your transit card—feeds into a data system. However, discussions around how to develop data literacy often remain tool-centric. Many people mistakenly equate data literacy with mastering tools like Python, SQL, or statistical software. While technical tools are important, true literacy—academically speaking—is based more on fundamental cognitive abilities and critical thinking than on technical know-how. The Educational Testing Service (ETS) defined literacy in its 2003 study on digital literacy as “the ability to locate, interpret, evaluate, and apply information to solve problems.” This definition emphasizes the process of interpreting and reasoning over simply mastering tools. Data literacy should be understood in the same light. Academic research identifies the following five core competencies as essential for deve...

Data Is Not Just Technology — It's a Form of Literacy

The Democratization of Technology and the Social Responsibility of Data Literacy Let’s go back to when we first encountered computers. Back then, they were sophisticated machines used only by experts. The average person was simply a user. But over time, computers became part of our daily lives. It reached a point where not being able to use a computer could limit your ability to participate in modern society. That’s when computers evolved from being just a piece of technology to a core component of digital literacy. Today, a similar transformation is happening — with data. In the past, data analysis was the job of professionals. Today, everyone is exposed to data and expected to interpret it and make informed decisions. From personalized recommendations on shopping apps and public policy statistics to data visualizations on social media — we are surrounded by data every single day. But are we truly understanding the data we're reading? This is where data literacy becomes essential....