ChatGPT for Next Generation Science Learning

摘要

This article pilots ChatGPT in tackling the most challenging part of science learning and found it successful in automation of assessment development, grading, learning guidance, and recommendation of learning materials. The United States is at the forefront of a worldwide movement to reform science education, as outlined in A Framework for K-12 Science Education 1. Framework posits science learning is most meaningful when students are actively engaged in utilizing science disciplinary core ideas (e.g., force and interaction) and crosscutting concepts(e.g., cause and effect) to solve scientific problems or design solutions. This new vision of science education presents a significant challenge in fully implementing the framework and the resultant Next Generation Science Standards (NGSS) 2, particularly in the area of assessment practices.