Why Connect the VTS E-learning AI to Your VTS Editor Modules

If you’re managing an internal academy, a skills development plan, or content production, you’re likely seeking more engagement, better personalization, and measurable productivity gains. The VTS E-learning AI addresses all three concerns. Connected to VTS Editor through the AI Request block, it enhances your roleplays with natural responses, delivers tailored feedback, and speeds up the creation of variations without multiplying versions.

In practice, your learners receive explanations adapted to their level, your designers save time on feedback content, and your metrics (progression, success, satisfaction) improve, with centralized tracking in VTS Perform or in your LMS via SCORM.

AI: A Lever for Engagement and Personalization

AI doesn’t replace storytelling—it amplifies it. In a commercial serious game, AI can act as a customer who rephrases, objects, or nuances their tone based on the learner’s choices. In a compliance module, it suggests examples tied to your industry rather than generic messages. And in a management course, it tailors feedback based on score and past responses. The result: a more “alive” and useful experience—and therefore more memorable.

International authorities reiterate its potential and the precautions: the OECD summary on AI in education and the UNESCO guidelines for the use of generative AI in education offer concrete benchmarks to deploy responsible and effective interactions.

AI Request: The AI Engine in VTS Editor

AI Request, Your Accelerator for AI in E-learning with VTS

The block sends a prompt to the AI model of your choice (gpt‑4o‑mini by default, fast and economical). The response returns in a variable (default _aiResponse) and is immediately actionable: display via Message or Speak, text-to-speech, conditional routing, score adjustment, badge awarding, etc. Two outputs structure your flow: success (response received) and error/timeout (controlled fallback). You can wait for the request to complete (blocking mode) or continue during execution (non-blocking mode) to maintain pacing.

Key Settings for Professional Use

• API key and model choice: keep gpt‑4o‑mini for frequent exchanges; upgrade if a scenario requires higher quality.
• Max Tokens: control response length and cost.
• Timeout: tailor response time to the step (short for actions, longer for summaries).
• “Wait for end of request” option: choose whether the graph pauses or not (helpful for immersion).

Managing Conversation Memory

• None: each request is independent (ideal for one-off feedback).
• Standard: the conversation continues across the module (perfect for a consistent “coach”).
• Custom: run multiple threads with IDs (e.g., “soft skills coaching” and “tech support” in parallel).

Response Formats and Adaptive Journeys

• Plain text: insert _aiResponse into a Message and add TTS voice if needed.
• Variables: return structured fields (e.g., title, advice, level) without manual parsing.
• JSON: request a structured object (e.g., feedback_type, recommended_level, suggested_actions) to use in Switches, Flags, or Score for large-scale adaptive pathways.

Security, Robustness, and Compliance

• Do not send personal data; use generic variables and instruct the model not to output PII.
• Plan for fallback: brief explanation Message, Help resource, or quiz retry.
• Track without overloading: use Recap on desktop (no sensitive data) or VTS Perform/SCORM reporting.
• For sensitive topics, add human proofreading before wide release.

Synergies with Other VTS Blocks

Display the response with Message/Speak, reinforce it with Emotion/Character Animation, adjust difficulty via Score/Check Score, offer alternate paths with Phrase Choice/Menu/Clickable Areas, provide help with Open Resource, control pacing with Countdown, and drive logic with Switch/Sequence/Flag/Check Flags. Everything remains SCORM exportable and traceable in VTS Perform.

Business Benefits of VTS E-learning AI

For instructional designers, you prototype faster, generate targeted feedback, and adapt activities to learner responses. For training and HR managers, you create multilingual, adaptive programs without exploding costs, enhance the learner experience, and monitor progress more precisely. The benefits are tangible: reduced production time, more relevant content, personalized progression, and proof of impact through SCORM or VTS Perform analytics. For inspiration, explore our client cases deployed on a large scale.

6 Use Cases to Boost Your Modules with AI

Contextual Educational Chatbot

During onboarding, learners ask questions freely via a Form. AI Request (Standard memory) responds like an “internal coach” based on your processes. Display the answer using Message and, depending on the content, open a resource using Open Resource. The learner interacts with a 24/7 trainer without leaving the scenario.

Personalized Feedback After a Quiz

At the end of an assessment, the prompt sends score, key answers, and targeted skills. AI writes nuanced feedback: strengths, areas to improve, next step. Display this feedback, grant a Badge if a milestone is reached, and route to reinforcement or advanced challenge with Check Score.

On-the-Fly Rewriting and Examples

For complex instructions, AI offers a simplified version or analogies relevant to your industry (banking, healthcare, manufacturing). Structure the explanations in a Slideshow and energize the title with Text Animation. Learners can request another analogy if they don’t understand the first.

Adaptive Scenarios Driven by Variables

In a sales journey, AI suggests a “next challenge” wrapped in JSON: level, objective, instruction. A Switch reads the JSON and directs to the appropriate scene. Flags unlock narrative arcs (“difficult client” if active listening is mastered). Difficulty adjusts continuously within a clear structure.

In-Situation Decision Support

In a customer service simulation, AI provides a real-time checklist, an empathy script, and two counterarguments. Embody the suggestions with Speak and Emotion, spatialize a Phone Sound for urgency, and measure choice effectiveness with Score.

Instant Multilingual Content

For global rollout, pair Language Condition with AI Request. The prompt sets output language, tone, and domain terms. The response displays and can be voiced. For non-Latin alphabets, prioritize export via VTS Player and schedule reviews to stabilize terminology.

Best Practices to Ensure Your AI Project Succeeds

Write Effective, Reusable Prompts

• Specify the AI role, goal, context, expected format (paragraph, outline, JSON), and quality criteria (length, tone, banned words).
• Version your prompts, test them with learners, and keep samples of strong responses.
• For global LLM usage guidance in education, see Kasneci et al. (2023).

Manage Cost and Response Time

• Choose economical models for recurring tasks; reserve premium ones for key moments.
• Limit Max Tokens to reduce long responses and minimize sent variables.
• Tune Timeout to the activity stage, and prefer non-blocking mode when possible.

Quality, Governance, and Compliance

• Avoid sensitive data in prompts/logs; store responses in temporary variables.
• Use minimal logging and rely on VTS Perform and your LMS for useful metrics.
• Add human review before deploying high-stakes content (legal, medical).
• Refer to regulatory frameworks: UNESCO – Generative AI Guidelines.

Accessibility and Multilingualism

• Use short sentences, simple vocabulary, and text/audio alternatives.
• Specify language, tone, and domain terms in prompts.
• Anticipate export via VTS Player for proper rendering of special scripts.

Instructional Flow and Impact Measurement

• Typical flow: AI Request (decision/content) → Message/Speak (representation) → Score/Progression (measurement) → Check Score/Flags (decision) → Switch/Sequence (navigation) → Badge/Countdown (pacing).
• Test and A/B test your prompts/models; watch for effects on time, success rate, and satisfaction.
• For deeper insight into responsible, effective uses, see the OECD review.

Put AI into Action for VTS E-learning

The AI Request block transforms VTS Editor into an adaptive and conversational training platform: personalized feedback, contextual help, and scenarios that adjust in real time to each learner’s level—with controlled costs and reliable tracking in VTS Perform. Start small (a post-quiz feedback, a reworded instruction), structure your prompts, safeguard data, measure impact, then scale up on proven use cases. Discover our client cases and request your VTS Editor demo to bring your project to life.