True: Teaching data literacy helps students make better, more informed decisions in everyday life., Using real-world examples makes data more interesting and relevant to students, Learning data skills early helps students develop critical thinking and problem-solving abilities., Visual tools like charts and graphs are essential for teaching data concepts in an understandable way., Encouraging students to ask questions about data helps build curiosity and deeper understanding., Data science is a growing field, so teaching data skills can open up future career opportunities., Data can be taught in a fun way through games, projects, and real-world applications., False: Data teaching is just about learning numbers and formulas without any need for creativity, Only secondary school and college students can learn data skills; younger students won’t understand it, Only students who are good at maths should learn data science concepts., Data teaching is mostly about learning how to code and use complex software., Teaching data concepts is only useful for students who want to pursue careers in data science.,

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