Concept Catalyst¶
Product or Programme · All products and programmes
Evidence · 4 claims (3 for, 1 mixed) · 2 studies (1 qualitative, 1 design),q1–q2· 0 of 2 report an effect size · 4 claims rest on one study
Description¶
Concept Catalyst is an LLM-assisted web tool developed by Singh et al. that helps K–12 engineering teachers analyze design challenges, build concept graphs, and generate editable scaffolding questions for students.
Components¶
Claims¶
- Teachers trying a mock-up of a scrutable concept-map interface expected it to reduce their cognitive load and said it helped them generate content quickly when creating classroom materials with generative AI [+M]
- Teachers judged the AI-generated scaffolds relevant and of similar quality to their own questions, though some felt the wording was too fancy or long and needed modification [+M]
- The concept-map interface let teachers generate scaffolds matching their content focuses, class activities, and teaching styles [+M]
- In a prior Wizard-of-Oz study, K-12 engineering teachers reported positive feedback on the efficiency, quality, and diversity of scaffold content produced with the Concept Catalyst framework [~W]
Related Products and Programmes¶
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Key Sources¶
- Singh, M., Mansi, G., & Riedl, M. O. (2025). Creating Learning Scaffolds for Engineering Design Using Concept Catalyst. Georgia Institute of Technology. https://www.gatech.edu/. doi:10.48550/arxiv.2605.20511
- Gennie Mansi, Sunni Newton, Roxanne Moore, Meltem Alemdar, Mark Riedl. (2026). Concept Catalyst: Exploring Scrutable Interfaces to Structure K-12 Teacher Interactions with Generative AI. https://ceismc.gatech.edu
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
concept-catalyst |
title |
Concept Catalyst |
description |
Concept Catalyst is an LLM-assisted web tool developed by Singh et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
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