Choosy: How to be 'Choosy' Quick Reference Guide
calcore
July 24, 2026
This single-page reference guide outlines six primary pedagogical strategies for preparing large datasets for classroom use: three case-reduction strategies (Random, Purposeful, and Build-Your-Own) and three attribute-reduction strategies (Thematic, Mathematical, and Question-Driven). For each strategy, the guide defines the method, evaluates its pedagogical benefits and drawbacks, and maps it to GAISE II and IDSSP educational standards.
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.