Ask what students should deeply learn before incorporating GenAI into activities¶
Strategy · All strategies
Evidence · no claims cited
Description¶
The presentation proposes a sequence of design questions for educators considering generative AI: What conceptual knowledge or skills should students deeply learn; Can we incorporate GenAI tools and not deprive students of developing conceptual knowledge and skills; and Should GenAI tools be used to change student activities for learning. The strategy keeps learning goals ahead of tool adoption, on the premise that GenAI can help people finish tasks more quickly, not learn faster.
Design Implications¶
Context¶
Requirements¶
- educators must first identify the conceptual knowledge or skills students should deeply learn before introducing GenAI tools
Constraints¶
- the presentation warns against incorporating GenAI in ways that deprive students of developing conceptual knowledge or skills
Target Learners¶
- K-12 students
- educators
- district leaders
Target Learning Goals¶
- preserving deep conceptual learning while using generative AI tools
Related Strategies¶
- Intelligence Augmentation Education Design
Examples¶
-
Key Sources¶
- Judi Fusco, Pati Ruiz, Jeremy Roschelle. (2023). Artificial Intelligence and the Future of Teaching and Learning. Digital Promise presentation. https://tech.ed.gov/ai/
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
genai-learning-first-design-questions |
title |
Ask what students should deeply learn before incorporating GenAI into activities |
description |
The presentation proposes a sequence of design questions for educators considering generative AI: What conceptual knowledge or skills should students deeply learn; Can we incorporate GenAI tools and not deprive studen... |
status |
review |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — judi-fusco-2023 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.