Simulations

Two tools for building clinical readiness — one scenario-based, one AI-powered. Both grounded in the HOPE framework and designed for graduate-level stuttering care training.

Preparing Clinicians for the Full Human Experience of Stuttering

Traditional clinical training rarely creates structured opportunities for graduate students to engage with the spiritual, existential, and identity dimensions of stuttering. Simulations fill that gap — providing a low-stakes environment where clinicians can practice navigating the conversations that matter most.

The iHOPE Lab's simulation tools are designed to activate the HOPE framework dimensions (Hope, Openness, Participation, and Experience) across ecologically valid speaking contexts. They are not fluency drills. They are preparation for being fully present with a person who stutters.

Web ApplicationInteractive Case Simulation

iHOPE Interactive Case Simulation Lab

Scenario-Based Clinical Training

Launch StutterCase

The iHOPE Interactive Case Simulation Lab places graduate clinicians inside immersive, scenario-based speaking environments drawn from real ICF participation domains — job interviews, medical appointments, classroom settings, and family conversations. Each scenario is designed to activate both clinical reasoning and the HOPE framework dimensions: Hope, Openness, Participation, and Experience.

Key Features

  • ICF-aligned speaking scenarios across four participation domains
  • Designed to surface spiritual and existential dimensions of stuttering
  • Structured for simulation-based debriefing using the HOPE framework
  • Built for graduate-level SLP clinical training
Custom GPTAI-Powered Simulation

iHOPE Stuttering Simulation Lab

GPT-Powered Clinical Companion

Open in ChatGPT

The iHOPE Stuttering Simulation Lab is a custom GPT designed to support clinician preparation through conversational AI. It guides graduate students through reflective clinical scenarios, prompts engagement with the HOPE framework, and models person-centered responses to the spiritual and existential dimensions of stuttering.

Key Features

  • Conversational AI trained on person-centered stuttering care principles
  • Guides clinicians through HOPE framework reflection
  • Supports self-paced exploration of clinical readiness
  • Accessible via ChatGPT — no installation required

Understand the Framework Behind the Simulations

Both tools are grounded in the HOPE framework and the ICF model of participation. Learn how the theoretical architecture informs each simulation design.