Intended Audience & Use Case: Aimed at middle school, high school, and undergraduate data science and statistics instructors, as well as educational content developers. It serves as a guide for selecting, filtering, and preparing authentic large-scale datasets for teaching.
Intended Audience & Use Case: Designed for middle school environmental science and STEM educators, as well as curriculum developers. MoDa provides curricular units (such as wildfire smoke spread and gas diffusion) that allow students to bridge the gap between building computational models and analyzing real-world data.
Intended Audience & Use Case: Designed for science educators and curriculum developers. It simplifies the data acquisition process, allowing designers to easily extract local air, oceanographic, or water quality time-series datasets to build custom, region-specific inquiry investigations without writing code from scratch.
Intended Audience & Use Case: Designed for K-12 teachers, teacher educators, and curriculum developers. It is used as a professional development resource or curriculum guide to help educators envision how to integrate Python and R notebooks into science, math, and humanities classrooms.
Intended Audience & Use Case: Designed for middle school science and statistics teachers, as well as educational curriculum developers. It provides ready-to-use curriculum structures that scaffold data literacy by linking data analysis directly to real-world socioscientific issues.
Intended Audience & Use Case: Designed for middle school math and science teachers seeking quick computational warm-ups or introductory data literacy exercises. It acts as an easy “on-ramp” for incorporating data-centric discussions without requiring extensive class time or programming setup.
To implement these in class, review the official DataBytes Discussion Structure Guide (Google Doc).
]]>Intended Audience & Use Case: Designed for middle and high school math, science, and social studies educators. They serve as guided classroom demonstrations or initial structured activities to help students build confidence in data analysis tools prior to self-directed inquiry.
Intended Audience & Use Case: Designed for science, statistics, and social studies educators, as well as curriculum developers. They provide standard-aligned (NGSS and GAISE II) unit frameworks to help students construct computational data arguments about real-world social and ecological challenges.
Intended Audience & Use Case: Designed for K-12 and undergraduate statistics and data science educators, as well as curriculum designers. It serves as an instructional guide or reference template for preparing large, noisy datasets for classroom use.
Intended Audience & Use Case: Designed for statistics and data science educators, curriculum developers, and learning scientists. It serves as a decision-making rubric for teachers planning to scale down authentic, large-scale datasets into clean, focused formats suitable for classroom instruction.