Creating Learning Scaffolds for Engineering Design Using Concept Catalyst

2026-05-19

AI Summary

This work proposes a novel approach that integrates large language models with interactive concept visualization to support K–12 teachers in efficiently generating structured, editable scaffolding questions aligned with engineering design processes. Recognizing that educators often spend considerable time manually crafting guiding questions to help students navigate complex design challenges, the method automatically parses task requirements, decomposes core engineering concepts, and produces pedagogically appropriate inquiry prompts. By synergistically combining the generative capabilities of large language models with visual, manipulable concept representations, this framework enables teachers to rapidly construct accurate, contextually relevant instructional supports tailored to each phase of the engineering design cycle, thereby significantly enhancing lesson preparation efficiency without compromising content fidelity or pedagogical suitability.

Abstract

K-12 teachers employ Engineering Design Challenges to help students learn about the Engineering Design Process hands-on. They use techniques like hard scaffolding questions to guide the students as they think through the different stages of the engineering design process. While useful, the creation of these questions adds to the teacher's preparation time for their classes. Concept Catalyst uses Large Language Models to assist teachers with the rapid creation of scaffold questions for engineering design challenges. Unlike open-ended chat, Concept Catalyst uses LLMs to summarize and decompose an engineering design challenge into the concepts that students will engage with, allow the teacher to visually manipulate and link related concepts, and to propose scaffolding questions for the teacher to modify or accept.

Problem

• Engineering Design Challenges
• Scaffolding Questions
• Teacher Preparation
• K-12 Education
• Learning Scaffolds

Innovation

• Concept Catalyst
• Large Language Models
• Engineering Design Challenges
• Scaffolding Questions
• Visual Concept Mapping