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Posts tagged ‘data science’

New NCTM Statement on Math, AI Relevant for Educators

The National Council of Teachers of Mathematics recently released the position statement "Artificial Intelligence and Mathematics Teaching." The statement highlights potential benefits of AI-driven tools, including responding to students' thinking and interests in ways previous tools could not.

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Data Science in Secondary Grades: Exploring Our Communities Through Pictures

Pictures, sounds, and text are all considered data. How can these types of data be incorporated into the school curriculum to better prepare students for today’s societal needs? The authors introduced a data science investigation that uses pictures as data in their middle and high school classes to find out.

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Editors’ Note: Summer 2024

Two new Statistics Teacher co-editors share one article, one lesson plan, and two highlights from the ASA/NCTM Joint Committee on K–12 Education in Statistics and Probability.

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A Guided Lesson on Fake News for Improving Statistical Literacy

The goal of the GAISE: Pre-K–12 Report is statistical literacy for all. But statistical literacy is not achievable unless students understand why they personally need to learn statistics. Fake news and the COVID-19 pandemic are two subjects that are relevant and concrete for students.

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Embracing AI-Driven Education: ChatGPT as a Learning Tool

In today’s rapidly changing world, the integration of AI-based technologies like ChatGPT into education has sparked an ongoing debate between teachers and students. Many educators worry using AI-driven tools for learning may lead to laziness in students and discourage them from conducting their own research.

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Top 10 Things I Have Learned from ChatGPT

Michael Hansen has taught AP Statistics for 25 years and high-school computer science for about 13 years. This summer, he used ChatGPT to help him write a Python application of about 3,000 lines. Here are his top 10 takeaways from that experience.

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Editors’ Note: Spring 2023

Statistics Teacher editors Jessica Cohen, Catherine Case, and Charlotte Bolch provide an overview of the articles in this issue.

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Editor’s Note: Fall 2022

Statistics Teacher editors Jessica Cohen, Catherine Case, and Christine Franklin provide an overview of the articles in this issue.

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Digging into Data: Illustrating a Data Investigation Process

Hollylynne S. Lee, Gemma F. Mojica, and Emily Thrasher propose a data investigation process involving six phases to give students in K–12 a richer experience with data investigations across disciplines. While engaging in the process may be linear, it is often nonlinear and dynamic in nature.

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New Book, Statistics and Data Science for Teachers, Available for Free Download

The book presents statistical ideas through investigations and engagement with the statistical problem-solving process.

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