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Team Empowerment

Team Empowerment

The Adaptive Learning Specialist

The Adaptive Learning Specialist

The Adaptive Learning Specialist

The Adaptive Learning Specialist

I transform static training materials into dynamic, AI-driven learning modules. By adapting to the user’s pace and knowledge level, I ensure a personalized learning experience, improving engagement and efficiency in corporate training.

I transform static training materials into dynamic, AI-driven learning modules. By adapting to the user’s pace and knowledge level, I ensure a personalized learning experience, improving engagement and efficiency in corporate training.

I transform static training materials into dynamic, AI-driven learning modules. By adapting to the user’s pace and knowledge level, I ensure a personalized learning experience, improving engagement and efficiency in corporate training.

I transform static training materials into dynamic, AI-driven learning modules. By adapting to the user’s pace and knowledge level, I ensure a personalized learning experience, improving engagement and efficiency in corporate training.

Thierry de Vries

Thierry de Vries

Thierry de Vries

Jun 3, 2024

Jun 3, 2024

Jun 3, 2024

Jun 3, 2024

1. Project Scope & Approach

Equans sought to modernize its learning and development approach by implementing an Adaptive Learning Management System (LMS). The objective was to transform existing training materials into a more dynamic, AI-driven learning experience that could personalize content for individual learners. AIOpener conducted a three-phase approach:

  • Phase 1: Discover & Define – Stakeholder sessions, LMS system evaluation, and project scoping.

  • Phase 2: Develop – Conversion of existing training content into an adaptive AI-powered learning module.

  • Phase 3: Deploy – LMS configuration, user testing, and feedback iterations before final implementation.

By leveraging LLMs (such as ChatGPT), the project aimed to create a cost-efficient, scalable e-learning system that could adjust to users' knowledge levels and learning speeds.

2. Output: Generate Image and audio learning content

To enhance the learning experience, AI-generated images and audio content were integrated into the LMS:

  • Text-to-Image AI created custom visuals to illustrate complex technical concepts*

  • Text-to-Speech AI provided audio narration, making learning more accessible and interactive.

  • Interactive learning paths allowed users to engage with content in a way that best suited their learning style.

The result was a scalable, efficient, and interactive training platform that significantly reduces the time and cost of traditional course development, while improving user engagement and knowledge retention.

*= fun fact: Based on the Brand guide, we created a style reference for the visuals, so all the synthetic content was aligned with the guidelines.

3. Adaptive Module Development

The adaptive e-learning module was designed to respond to user interactions and performance, dynamically adjusting content complexity and pace. This included:

  • Automated content adaptation – Learners receive tailored material based on their progress.

  • AI-driven knowledge assessment – The system evaluates users’ understanding in real time and adjusts accordingly.

  • Data-driven optimization – Insights from user interactions help refine training effectiveness.

This methodology ensures higher engagement and retention, as employees receive a personalized learning experience rather than a one-size-fits-all approach.

Thanks to AIO and LearnForce, we were able to develop our first online learning module using the Adaptive Learning methodology. What truly made the difference was the use of Generative AI to develop a confrontation matrix. This matrix laid the foundation for segmenting the content, which we then translated into short audio clips, interactive learning formats (quizzes, polls, etc.), and visual support. This made the content much more engaging and segmented for the learners. It's a game changer in how we’ll develop our learning content moving forward. On to the next module!

Thanks to AIO and LearnForce, we were able to develop our first online learning module using the Adaptive Learning methodology. What truly made the difference was the use of Generative AI to develop a confrontation matrix. This matrix laid the foundation for segmenting the content, which we then translated into short audio clips, interactive learning formats (quizzes, polls, etc.), and visual support. This made the content much more engaging and segmented for the learners. It's a game changer in how we’ll develop our learning content moving forward. On to the next module!

Thanks to AIO and LearnForce, we were able to develop our first online learning module using the Adaptive Learning methodology. What truly made the difference was the use of Generative AI to develop a confrontation matrix. This matrix laid the foundation for segmenting the content, which we then translated into short audio clips, interactive learning formats (quizzes, polls, etc.), and visual support. This made the content much more engaging and segmented for the learners. It's a game changer in how we’ll develop our learning content moving forward. On to the next module!

Thanks to AIO and LearnForce, we were able to develop our first online learning module using the Adaptive Learning methodology. What truly made the difference was the use of Generative AI to develop a confrontation matrix. This matrix laid the foundation for segmenting the content, which we then translated into short audio clips, interactive learning formats (quizzes, polls, etc.), and visual support. This made the content much more engaging and segmented for the learners. It's a game changer in how we’ll develop our learning content moving forward. On to the next module!

Joost van der Driest

Joost van der Driest

,

,

General Manager @Equans

General Manager @Equans

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