AI-enhanced VR for learning abstract concepts

Mapped principles

The project is mapped to the following framework principles:

P1. Essential knowledge of the subject

P2. Ability to handle wicked problems for a sustainable societal development  

P3. Active student-centred learning 

P10. Continuous competence development in the teaching role  

Definitions of the principles

Contact

Andrii Matviienko assistant professor

andriim@kth.se , 087906832

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Niharika Gauraha lecturer

niharika@kth.se , 087904101

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Project number 

This project is implemented at the School of Electrical Engineering and Computer Science (EECS) within the Future Education programme (project no. 2620-EECS) 

Project context 

Students in EECS programmes often find it difficult to understand abstract concepts that are hard to visualise or explore dynamically, such as structures, relationships, or transformations in abstract mathematics and related areas. Teaching often relies on static representations and symbolic notation. There is a strong need for more experience-based learning methods. At the same time, current technological developments (for example in VR and AI) make it possible to support interactive exploration and conceptual understanding.  

Purpose (outcome) 

The purpose of the project is to improve understanding of abstract and complex concepts by enabling engaged and interactive learning (immersive learning). Over time, this may increase students’ engagement and confidence in mathematically demanding subjects. 

Project results (output) 

The project will deliver the following concrete results: 

• A reusable VR prototype with an integrated AI assistant that enables questions in natural language, generation of visual elements in real time, and interactive manipulation of abstract structures. 
• Interactive tasks that support construction, transformation, and reasoning. 
• Pedagogical guidelines describing learning outcomes and adaptation to student-centred approaches. 
• An analysis report with results from a pilot installation at EECS, including feedback from students and teachers. 

Time plan 

Start date: 2026-05-01
End date: 2027-04-30 

Project documentation 

If you have a KTH ID, you can read the documents when logged in:

• Poster: The project’s first poster (in Swedish) will be available at the ”Storträffen” meetup autumn 2026
• Project directive (Swedish): Projektdirektiv_FrU26_2620-EECS_AI-förstärktVR