This project aims to promote foundational AI Literacy among young learners in primary education. By introducing core concepts such as algorithms, machine learning, decision trees, and ethical considerations, the workshop encourages responsible and critical engagement with AI from an early age. Through hands-on and playful activities children are empowered to understand how AI systems work and how biases can arise.

ArtisanXR aims to safeguard and promote intangible cultural heritage (ICH) especially extinguished Art and Craftsmanship, by harnessing cutting-edge technologies to preserve, document, and disseminate the knowledge, skills, and expressions that define the rich cultural identities of communities worldwide. This project fosters cross-cultural understanding and leverages conversational AI agents to inform cultural and historical backgrounds and learning guidance. By creating a comprehensive digital archive, we hope that this project can facilitate knowledge preservation and inspire future generations through accessible and engaging learning experiences.

Online video learning is becoming increasingly important in educational contexts. However, remote video learning challenges not only students’ self-regulation, but also teachers‘ abilities to detect these self-regulation problems. The project addresses this problem at the interface of psychology, educational science, and computer science. To this end, potential problems of self-regulation will be automatically detected and measures to support them, for example by optimizing instructional videos, shall be developed. 

DigiProMIN (digitalisierungsbezogene und digital gestützte Professionalisierung von MIN-Lehrkräften) is a collaborative project involving eight national universities, aiming to develop a digitalization-related framework to promote the professional development of STEM teachers. 

This tool is designed to leverage Large Language Models (LLMs) to generate personalized feedback for mathematical multiple-choice questions, enhancing the learning experience. By comparing stock, automatic, and adaptive feedback, it evaluates the LLMs’ potential to provide student-specific feedback tailored to individual student profiles. The findings aim to guide the development of more effective, adaptive learning tools that offer targeted support for different student profiles, enhancing overall educational outcomes.

PEER (Paper Evaluation and Empowerment Resource) is a tool designed to assist students in writing essays, from primary school to university level and across various genres. The tool leverages AI to provide personalized feedback and improvement suggestions based on the analysis of essays submitted either by photograph or direct text input, while preserving anonymity of the data collected for continuous improvement.

We aim at privacy-preserving applications of eye tracking using different techniques including differential privacy, federated learning, domain adaptation, randomized encryption and many more techniques. An emphasis of our work is the application in virtual environments. Part of this work will be integrated into our VR classroom project.

SAM is more than just a tool; it's your personal AI mentor, ready to guide you through complex subjects and clarify doubts in real-time.

Our cutting-edge web application is designed to transform the way you study, making every learning session more efficient, interactive, and tailored to your needs. SAM leverages advanced AI technology to offer a personalized learning experience. By allowing you to interact directly with your study material, SAM ensures that no question goes unanswered, and no topic is left unclear.

Recent studies have been using cutting-edge mobile eye tracking technology to capture eye movements in natural, uncontrolled settings such as museums. Our collaboration with the Cognitive Research in Art History (CReA) Lab at the University of Vienna aims to comprehensively investigate this complex phenomenon, which has long been of interest in art history and psychology. We are conducting four distinct research studies, each with a unique focus on different aspects of the museum gaze, in partnership with the experienced curatorial team at the Belvedere Museum in Vienna.

At VIVA, we're exploring how eye-tracking can be smarter, lighter, more private—and more human. Our mission is to create a new kind of eye-tracking system that fits seamlessly into everyday life, designed with people at the center. This project is in collaboration with 13 partners from 7 different countries. 

What makes VIVA different? We’re building a camera-free eye-tracking solution that uses laser feedback interferometry (LFI) and meta-optics—cutting-edge technologies that allow for fast, accurate tracking (around 1 kHz) without compromising on comfort or privacy. Our goal is to keep the whole system under 40 grams, making it wearable all day, like a regular pair of glasses.

The VR classroom project aims at an immersive virtual learning environment that allows data tracking in multiple modalities such as eye tracking and hand tracking with the help of corresponding devices and sensors, especially Head Mounted Display (HMD).