This position paper advocates shifting AI education in materials discovery from basic tool access to a workflow-aligned literacy model that builds scientific judgment and equitable outcomes.
AI in computer science education: Closing the new digital divide in K–12
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ed-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Preparing Students for AI-Powered Materials Discovery: A Workflow-Aligned Framework for AI Literacy, Equity, and Scientific Judgment
This position paper advocates shifting AI education in materials discovery from basic tool access to a workflow-aligned literacy model that builds scientific judgment and equitable outcomes.