How are children, families, and educators in Austria navigating AI in learning, right now?
This is the first evidence-based landscape study of its kind in Austria, exploring how students, parents, and teachers are experiencing the rapid adoption of AI tools in education, and what genuine AI literacy looks like in practice.
All findings will be shared publicly. Your insights help build the first evidence base on AI and education.
Three separate surveys for parents, teachers, and students — available in English and German.
Share your experience guiding your child's AI use and what support would help most families navigate this together.
Take the survey → Zur Umfrage (Deutsch) →Tell us how AI is affecting your classroom, assessment practices, and what guidance you need most.
Take the survey → Zur Umfrage (Deutsch) →Share your perspective on how AI is shaping how you learn, think, and work — and what it means to truly learn something.
Take the survey → Zur Umfrage (Deutsch) →Austria has opinion polls on AI in education, but no independent, cross-stakeholder picture of how AI is actually being used in learning, at home and in classrooms. This snapshot begins to fill that gap.
Results will be anonymized, analyzed, and shared publicly, contributing to broader research on AI literacy and responsible use in education.
Findings directly inform the development of practical workshops, frameworks, and resources for schools and families across Austria.
A 2026 Stanford University review of over 800 studies on AI in K–12 education reached a striking conclusion: while AI tools can improve task performance, the evidence on deeper learning is mixed. And there are critical areas where evidence is almost entirely absent.
Source: Fesler et al., The Evidence Base on AI in K–12: A 2026 Review, Stanford University.
The evidence base and policy frameworks that ground this initiative.
Fesler, Martinez Claeys & Agnew. Reviews 800+ studies, only 20 with strong causal evidence on learning outcomes.
The first global guidance on generative AI in education, human-centered, equity-focused, and policy-oriented.
UNICEF's initiative using AI to convert curriculum materials into accessible formats for children with disabilities, dyslexia adaptations, sign language, audio descriptions, in days rather than months.
UNICEF's work on AI for accessible education, including Accessible Digital Textbooks adapted for children with disabilities.
Article 4 requires AI literacy across the EU. The legal framework that makes this initiative's work both timely and necessary.
UNICEF's equity-driven, human-centered digital and AI strategy for learning, prioritizing inclusion, access, and child safety.
Austria's national framework for digital literacy in schools, the policy context in which this initiative operates.
Peer-reviewed research on the environmental cost of AI systems: between 32-80 million tons of CO2 and 312-764 billion liters of water in 2025 alone. The hidden cost of every query.
All surveys are fully anonymous. No names, email addresses, or identifying information are collected. By participating, you consent to the use of your anonymized responses for research and publication purposes. This initiative is conducted in accordance with GDPR requirements. For questions, please use our contact form.