ScratchJr vs Read for School

With ScratchJr, young children (ages 5-7) learn important new skills as they program their own interactive stories and games. By snapping together graphical programming blocks, children can make characters move, jump, dance, and sing. In the process, children learn to solve problems, design projects, and express themselves creatively on the computer. They also use math and language in a meaningful and motivating context, supporting the development of early-childhood numeracy and literacy. With ScratchJr, children don’t just learn to code, they code to learn. ScratchJr was inspired by the popular Scratch programming language (http://scratch.mit.edu), used by millions of people (ages 8 and up) around the world. The ScratchJr interface and programming language were redesigned to make them appropriate for younger children’s cognitive, personal, social, and emotional development. ScratchJr is a collaboration between the Lifelong Kindergarten research group at the MIT Media Lab, the Developmental Technologies research group at Tufts University, and the Playful Invention Company. The ScratchJr project has received generous financial support from the National Science Foundation (NSF DRL-1118664), Scratch Foundation, LEGO Foundation, and British Telecommunications. If you enjoy using this free app, please consider making a donation to the Scratch Foundation (www.scratchfoundation.org), a nonprofit organization that provides ongoing support for ScratchJr. We appreciate donations of all sizes, large and small.

Read for School is an AI literacy diagnostic and training courseware designed for teachers and students. Innovative Learning Tool: AI Eye-Tracking Technology - Lead utilizes eye-tracking technology to easily and accurately diagnose and coach reading habits that are difficult for humans to identify. Identify Areas for Improvement at a Glance with Eye Movement Patterns - By visualizing the student’s eye movements while reading, Lead helps teachers quickly pinpoint factors that may be hindering reading progress. AI-Powered Course Assignment for Successful Learning - With just one test, Lead learns and analyzes a student’s reading level to provide the most suitable, personalized course. Data-Driven Korean Language Learning—Only Available with Lead - By combining eye-tracking data and comprehension assessment results, Lead quantifies reading abilities into five key indicators. This allows for more precise tracking of each student’s status and training outcomes. Terms of Service https://visualcamp.notion.site/ebd988a9bb87415ea4bb09d80e0fbc52?pvs=4 Privacy Policy https://visualcamp.notion.site/ebe0ae6bd5cf4f35875aa5da5d49191c?pvs=4