Studio

IDEEAS Lab Studio

Software systems, prototypes, and research infrastructure that turn lab methods into usable workflows.

What Studio Tracks

A product surface for research software.

Studio is the public index for tools, workflows, and deployed infrastructure connected to IDEEAS Lab research. It complements projects and publications by showing what the lab is building.

Access levels are intentionally explicit. Some artifacts are public or headed toward documentation; others are private pilots or internal lab systems that should not be presented as public products.

Featured Systems

These entries have enough research grounding to show now, even where public deployments or documentation are still maturing.

LivePublic

Course Sphynx

A faculty-facing platform for helping instructors redesign courses through guided, transformation-oriented support.

PrototypeComing soon

GATOS qualitative analysis workflow

A research workflow for using open-source generative AI and machine learning to support inductive qualitative codebook development.

PrototypePrivate

Self-regulated learning scaffold

A prototype learning application that uses LLM-supported prompts to help students plan, monitor, and reflect on complex learning tasks.

Index

Tools, prototypes, and infrastructure

5 entries tracked

LivePublic

Faculty / Instructional designers

Course Sphynx

A faculty-facing platform for helping instructors redesign courses through guided, transformation-oriented support.

Problem

Course redesign is high-stakes work that asks faculty to rethink goals, assessments, activities, and student support while navigating limited time and uneven design support.

Approach

Course Sphynx frames the platform as a Studio Partner to Help You Navigate Transformation, giving faculty a structured partner for moving from course redesign intent to actionable course-change work.

Creates a public faculty-support platform rather than only an internal or research-prototype artifact.Extends the lab software portfolio into course transformation and teaching practice.
PrototypeComing soon

Qualitative researchers / Engineering education researchers

GATOS qualitative analysis workflow

A research workflow for using open-source generative AI and machine learning to support inductive qualitative codebook development.

Problem

Large qualitative corpora are difficult to analyze rigorously without hiding methodological decisions or overwhelming human coding capacity.

Approach

The workflow connects model-assisted theme generation, researcher validation, and documented codebook decisions so AI support remains inspectable rather than replacing qualitative judgment.

Anchored in published work on open-source generative AI for thematic analysis.Designed as a bridge from peer-reviewed methods to reusable research infrastructure.
PrototypePrivate

Engineering students / Instructors

Self-regulated learning scaffold

A prototype learning application that uses LLM-supported prompts to help students plan, monitor, and reflect on complex learning tasks.

Problem

Students are often asked to manage complex projects and AI-supported work without structured support for goal setting, monitoring, and reflection.

Approach

The prototype centers self-regulated learning phases in the interface and treats LLM assistance as scaffolding around student agency, not as an answer generator.

Frames a future pilot around privacy-aware interaction logging and explicit consent.Connects AI education research to a usable teaching and learning system.
PrototypeComing soon

Engineering design researchers / Sustainability education researchers

Concept map analysis workbench

A planned workbench for using vision language models to extract entities and relationships from concept maps and systems diagrams.

Problem

Concept maps and other visual representations contain rich evidence about how people reason about systems, but manual interpretation is slow and hard to scale.

Approach

The workbench is intended to pair VLM-based extraction with researcher review so visual reasoning artifacts can be compared across participants and contexts.

PilotPrivate

IDEEAS Lab members / Research project leads

Lab tracker and research operations system

An internal operations platform for coordinating lab projects, weekly reports, meetings, manuscripts, and collaborative research workflows.

Problem

Research groups need lightweight infrastructure for accountability, advising, and project memory, but generic task tools rarely fit academic research workflows.

Approach

The system combines task tracking, weekly reporting, meeting intelligence, manuscript workflows, and role-aware lab spaces in a single authenticated application.

Used as internal research infrastructure rather than a public product.Provides a testbed for building research software patterns that may become reusable later.

Open Data Needs

What is still needed for stronger case studies

Public URLs, repositories, or documentation for tools meant to be reused.

Screenshots or interface captures for entries that should feel tangible.

Clear pilot status and access policy for private or invite-only systems.

Related publications, grants, and collaborators for each artifact.