The process of science learning is intricate and interconnected, encompassing various objectives. The National Academy of Sciences has outlined a comprehensive framework for science learning goals and ...

The ability to learn from data is developing in concordance with a number of other advances, including the generation of big data in a range of scientific applications, and rapid progress in materials ...

A teacher's capability to improve students' scientific understanding is influenced by the school and district in which they work, the community in which the school is located, and the larger ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

To a young mind, science can be magical. Perhaps you remember a visually striking or seemingly inexplicable scientific demonstration from your own youth? A liquid spontaneously and unexpectedly ...

The Hechinger Report covers one topic: education. Sign up for our newsletters to have stories delivered to your inbox. Consider becoming a member to support our nonprofit journalism. Makers of ...

Long before the federal government intruded on the already wavering trust in science, the field of K-12 science education was in trouble. Proper teacher training, the deprofessionalization of ...

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...

As a student teacher I witnessed extreme inequalities in how science is communicated and taught at California elementary schools. My first teaching experience was as a STEM (science, technology, ...