Before feedback
A regular editor helps students combine and arrange content.
“Plants need sunlight and water.”
Learn by Creating. Grow through Feedback.
An AI-guided Learning Loop using interactive multimedia posters
We're exploring the next version of Canvastera. Instead of AI creating projects for students, we want to help students think, create, explain and improve their own work.
Inviting students, teachers, educational organizations and Horizon Europe research partners to help shape what comes next.
Students craft. AI guides.Proposed for Canvastera 2.0
What if AI helped students learn, instead of doing the work for them?
AI can already create text, presentations and visual content in seconds. But a finished project doesn't necessarily mean a student understands the topic.
We want to explore a different approach. Students create their own interactive explanations, while AI helps them identify gaps, ask better questions and improve their work.
AI supports the process.
Students make the decisions.
The Canvastera Learning Loop
Explore ideas. Make your understanding visible. Use feedback to take it further.
Explore
Ask questions.
Connect ideas.Create
Build an interactive
explanation.Get feedback
Find the gaps.
See new perspectives.Improve
Make a change.
Reflect on why.
Imagine a 30-Minute Classroom Challenge
One lesson. One interactive poster. One Learning Loop.
Start with a question.
The teacher asks students to explain how photosynthesis works. Students discuss what they already know and explore short learning materials prepared by the teacher.
- Understand the assignment
- Discuss initial ideas
- Identify what needs explaining
AI's proposed role A short hint if students need help understanding the task.
What does a plant need?
Sunlight ☀Water ◉Air?What happens in a leaf?
“How could we explain this to someone else?”
Student ideas · illustrative exampleMake understanding visible.
Students combine text, diagrams, images and their own media in an interactive poster. AI stays in the background and could help when requested.
- One student creates a diagram.
- Another records a 20-second explanation.
- A third organizes the interactive poster.
Proposed Mobile Capture Students could scan a code on their computer, record a short explanation on their phone, and add it to their poster without leaving their classroom activity.
How plants make food
☀Sunlight
◉Water
Plants need sunlight and water.
Our explanation 0:20 · concept
A question, not a finished answer.
Students have a first version of their poster. They ask the AI Coach to review their explanation and how clearly the poster presents it.
The coach could check both the explanation and the visual design, helping students spot missing information or a layout that is difficult to follow. Students would decide what to change.
Students stay in control They decide whether and how to respond.
How plants make food
Plants need sunlight and water.
✦ AI Coach · conceptYou've shown sunlight and water. But where does the plant get its carbon dioxide? How could you make this clearer?
Improve it. Explain why.
Students revise their poster and share the result with the teacher. Before finishing, they answer one short question:
What did you improve, and why?
A short experience that combines creativity, communication, teamwork and feedback.
How plants make food
Plants use energy from sunlight, water and carbon dioxide to make sugars, releasing oxygen.
✓ Revised by the students
Our reflection
“We added where carbon dioxide comes from so the process is clearer.”
Why More Than a Multimedia Editor?
Students use AI feedback to decide how to improve their work.
One useful question
The proposed AI Coach could review the explanation and visual design, then suggest ways to make the ideas clearer.
“Good start. Where does the plant get the carbon dioxide it needs?”
After student revision
Students choose what to change and improve their explanation.
“Plants use energy from sunlight, water and carbon dioxide to make sugars, releasing oxygen.”
Illustrative example. The student improves the explanation; AI does not generate the finished project.
When would AI help?
- Before creating
- Understand the assignment and explore ideas.
- During creation
- Provide help when requested.
- After the first version
- Review the explanation and identify an important improvement.
- During revision
- Offer hints while students decide what to change.
- At the end
- Support a short reflection on what was learned.
Could this improve understanding, communication, engagement and teaching practices? These are research questions, not proven outcomes of Canvastera 2.0.
Help Us Design the Next Canvastera
This is a proposed concept, not a finished product. What would make it useful, practical and enjoyable?
I'm a Student
Would you enjoy creating interactive projects with AI feedback? Tell us what would help you and what you would change.
About 2 minutes. Do not share personal information.I'm a Teacher
Could this approach fit into your classroom? Help us understand the practical benefits, challenges and time requirements.
About 3 minutes.I Represent an Organization
Could your organization help develop, test or research this approach? We're particularly interested in Horizon Europe collaboration.
About 4 minutes.What Happens Next?
Seeking an Experienced Consortium Coordinator & Research Partners
We're looking for an experienced Horizon Europe coordinator and European partners interested in exploring AI-guided learning through multimedia creation.
Canvastera already provides an interactive multimedia poster editor. We propose building on this technology to investigate how an AI-guided Learning Loop could support students and teachers.
Could you lead the consortium?
We're seeking an experienced university, research institution or other eligible organization to lead proposal preparation and project coordination.
Tell us about your coordination experience.Research Partners
Learning sciences, educational research, AI in education, assessment and human–AI interaction.
Pilot Schools & Networks
Schools interested in helping design and evaluate realistic classroom activities.
Other Partners
Accessibility, inclusion, ethics, teacher training and dissemination.
What we could explore together
- AI feedback and students' understanding
- Communication and critical thinking through creation
- Short activities in everyday classroom teaching
- Student engagement and motivation
- Teacher support without additional workload
- Safe, inclusive and age-appropriate AI
What Canvastera could contribute
- Existing multimedia creation technology
- Product and UX development
- A proposed AI-guided Learning Loop
- AI Coach prototype development
- Technical support for research activities
- Potential access to an existing educational user network
Horizon Europe programme under consideration
Cluster 2: Culture, Creativity and Inclusive Society.
HORIZON-CL2-2027-01-TRANSFO-05
The effective use of artificial intelligence in learning environments in pre-primary and primary education.
This topic focuses on pre-primary and primary education. The final project scope and funding call would be selected with potential partners.
Expressions of interest would be non-binding. No consortium agreement has been finalized and no EU grant has been awarded. Future participation would depend on mutual agreement and the requirements of the selected funding call.