AI Assignments That Meet Students Inside Your LMS
Build role-play simulations and LLM-interaction assignments with rubric-aligned grading, few-shot exemplar calibration, and instructor review — delivered seamlessly through LTI 1.3 in any compliant LMS.
See LTISim in Action
Watch how instructors create AI simulation assignments and how students experience them — all within their LMS.
Demo video coming soon
One platform. Two ways to learn with AI.
Whether students are role-playing with an AI persona or learning to use AI as a tool, LTISim runs both through the same rubric grading, exemplar calibration, and instructor review pipeline.
Simulations
Students hold a multi-turn conversation with an instructor-defined AI character. The full transcript is captured and graded against your rubric — so assessment reflects how students actually handled the interaction, not just whether they reached a conclusion.
- Instructor-authored persona, scenario, and learning objectives
- Grounded in your course materials and guardrails
- Full transcript graded against a rubric you control
A nursing student conducts an intake interview with a patient persona — graded on active listening, clinical reasoning, and bedside manner.
Key Capabilities
Purpose-built for higher education — every feature designed around instructor needs and institutional requirements.
LTI 1.3 Native Integration
Launches directly from any LTI 1.3 compliant LMS. Students stay in their course. No separate platform to manage.
Instructor-Configurable Scenarios
Instructors define the simulation context, AI persona, supporting documents, learning objectives, and assessment criteria. No technical expertise required.
AI-Powered Personas
Students interact with AI that stays in character, references course materials, and responds dynamically to student decisions within pedagogically structured guardrails.
Few-Shot Exemplar Calibration
Anchor AI grading to concrete examples. Promote real student work into rubric exemplars with one click, and the grader uses them as calibration anchors on every future evaluation.
Instructor Review & Regrade
Route AI grades through a pending-review queue. Edit rubrics, add exemplars, and bulk-regrade drafts before any score reaches the gradebook.
Human-in-the-Loop Design
Instructors maintain full oversight. AI assessment supports but does not replace instructor judgment. Review workflows ensure quality and accountability.
Built for Experiential Learning Across Disciplines
AI-powered simulations that meet learners where the stakes are highest.
AI Literacy & Prompt Engineering
Students across disciplines learn to use LLMs responsibly through graded prompting tasks — every prompt, iteration, and final artifact captured for review.
Healthcare Education
Nursing and medical students practice patient interactions, clinical decision-making, and bedside manner in realistic AI-powered scenarios.
Business & Management
Students navigate negotiations, stakeholder meetings, leadership challenges, and ethical dilemmas with AI personas representing clients, executives, or team members.
Social Work & Counseling
Practice intake interviews, crisis intervention, and client communication in safe, repeatable simulation environments.
Teacher Preparation
Pre-service teachers practice parent-teacher conferences, classroom management conversations, and IEP meetings.
Compliance & Professional Training
Workforce learners practice regulatory scenarios, customer interactions, and safety protocols with immediate AI-driven feedback.
Evidence-Based Development
LTISim is committed to rigorous evaluation of AI-driven assessment and simulation effectiveness. We are currently conducting validation studies comparing AI rubric-aligned assessment with human grader evaluation.
Our current validation work measures the impact of few-shot exemplar calibration on AI-rubric agreement with human graders across both simulation and LLM-interaction assignments.
We welcome partnerships with institutions interested in contributing to the evidence base for AI-powered experiential learning.
Validation Studies
Comparing AI rubric-aligned assessment with human grader evaluation across multiple disciplines and assignment types.
Research Partnerships
Collaborating with institutions to build the evidence base for AI-powered experiential learning.
Partner With Us
We're seeking institutional partners for research collaborations. If you're interested in bringing AI-powered simulations to your learners, we'd love to hear from you.