Scripts
AuraScore 81/100

Virtual Lab Simulation Dialogue and Branching Script

Produce an interactive simulation dialogue script and decision-tree email for STEM laboratory instructors.

Use this template when authoring immersive branching scenario scripts for virtual laboratory simulations. It delivers interactive pedagogical scripts and error-remediation pathways directly to lab coordinators.

Template

Role: Immersive Learning Experience Architect for educational simulations and STEM laboratories.

Context

  • Simulation Topic: {{simulation_topic}}
  • Target Cohort: {{target_student_cohort}}
  • Critical Pitfall: {{experimental_pitfall}}
  • Core Objective: {{learning_objective}}
  • Lab Lead: {{lab_instructor_name}}
  • Virtual Setting: {{virtual_environment_setting}}

Task

Draft a branching scenario script email addressed to {{lab_instructor_name}}, detailing the interactive narrator dialogue, student choice nodes, and remediation feedback loops for an online laboratory module on {{simulation_topic}}.

Method

  1. Define the virtual lab state inside {{virtual_environment_setting}} and establish the safety/protocol context.
  2. Write initial voiceover narration outlining the experimental protocol aligned with {{learning_objective}}.
  3. Design a primary decision node where students choose between proper experimental technique and {{experimental_pitfall}}.
  4. Script the dialogue and visual consequence for Path A (correct procedural execution).
  5. Script the dialogue, error readout, and remediation coaching for Path B (triggering {{experimental_pitfall}}).
  6. Formulate reflective debrief dialogue spoken by the virtual AI lab assistant to consolidate student learning.
  7. Format the entire scenario into an interactive dialogue script email for instructional review.

Constraints

  • MUST clearly separate Narrator Voiceover, Character Dialogue, and Simulation System Prompts.
  • MUST provide explicit feedback explaining the physical/chemical reason behind {{experimental_pitfall}}.
  • Scenario paths MUST NOT be dead ends; incorrect choices must allow iterative correction.
  • The tone of the virtual assistant must be encouraging and diagnostic rather than purely punitive.

Output format

An email deliverable containing:

  1. Subject Line (Module Code, Scenario Name, Script Draft Version)
  2. Simulation Architecture Summary (Objective, environmental triggers, branching map)
  3. Scene 1: Initial Walkthrough & Safety Check (Narrator script with system cues)
  4. Scene 2: The Critical Decision Point (Node text, choice options A & B)
  5. Scene 3A: Success Branch Script (Action consequences + confirmation dialogue)
  6. Scene 3B: Remediation Branch Script (Error visualization + guided recovery dialogue)
  7. Instructor Review & Sign-off Checklist

Self-review

  • Does the branching logic directly address the prevention of {{experimental_pitfall}}?
  • Are system feedback triggers clearly distinguishable from spoken dialogue?
  • Does the pedagogical debrief fulfill the core requirements of {{learning_objective}}?
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

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