How Our AI-Powered Learning Simulation Workshop Led to Human-Centered AI Learning Simulations

“Very important in developing learning environments is staying true to the actual validity of how things work rather than making them magical.” — Chris Dede

A Workshop Rooted in Empathy and Design

Imagine a classroom filled with students from diverse backgrounds, each with unique experiences and learning preferences. In these environments, it can be difficult to maintain personalized support and real-time feedback.

That’s where our TML AI-powered Learning Simulation Workshop began, with a simple survey that gauged participants’ pain points when it comes to attending workshops and their perceptions of how an AI study buddy would function.

The survey was the start of a design journey rooted in empathy, where participants related what they had seen in the results of the survey, and how it was translated into AI-powered learning tasks. This experience transformed into an understanding of the importance of shaping the tone and function of the AI companions they’d later build.

These insights grounded the workshop in real user needs. By the time the first session launched, every participant received a welcome card from a personalized chatbot; a small but powerful moment that sparked conversations around tone, trust, and usability. Some felt their chatbot matched their expectations. Others wished for a different voice or style. That moment of comparison was a live usability testing, driven by authentic user feedback.

Blending Theory, and Practice

The workshop wasn’t just about building with AI. It was about thinking with AI, critically, creatively, and ethically.

Some key elements that the AI-simulation participants explored:

• System persona

• Training the AI agent

• Integrating assessment feedback

• AI agent design, gender, voice, tone, backstory, etc. 

• Immersive environment design

We tinkered, tested, and talked, constantly asking: How can AI empower learners while maintaining the human connection?

Showcasing Outcomes: 

By the end of the second session, teams had created three compelling AI-powered learning simulations that moved beyond content delivery to show understanding of the problem they were addressing and the solution they designed. 

1. “Foodie Detective”

Designed for middle school learners, this simulation takes an inquiry-based approach to food science, turning it into a mystery to solve. It builds nutrition label literacy, questions ultra-processed food, and promotes informed, personal food choices.

2. “Language Cafe”

A virtual café where learners practice real-life conversations in another language. From ordering coffee to small talk, it helps students build confidence and overcome the fear of speaking in a new language.

3. “Story Maker”

An AI-powered narrative playground where participants co-create immersive stories and brand narratives. It helps learners explore identity, ethics, creativity, and community while transforming abstract ideas into human-centered stories.

The Results and Main Takeaways 

In a final vote, “Language Cafe” won the crowd’s heart. As a thank-you, Wonda Pro team offered the winners a three-month free access to continue developing their ideas.

But what participants walked away with was a mindset:
That AI in education is about augmentation, and human-centered collaboration, where AI supports learning by being responsive, ethical, and designed with purpose.