Future Learning
Forward-looking research identifies technological developments early and makes them usable for teaching and learning — tested iteratively rather than designed on paper.
New technologies for teaching and learning
FLAAITEducational Technology unit, TU Graz
The FLAAIT team researches, develops and tests digital solutions that support teaching, learning and studying.
In FLAAIT we combine:
What FLAAIT does.
We work on new technologies for teaching and learning — from research through development to testing. Promising ideas gradually become sustainable digital services for teaching staff and students. Development is evidence-based and happens together with teaching staff and students in real scenarios, in close cooperation with the Institute of Human-Centred Computing (HCC). Didactic background and step-by-step guides for these services are published at TELucation (external site).
Three areas, one goal
A responsible and didactically sound use of technology in teaching.
Future Learning, Analytics & AI for Teaching — together, these three areas make up the FLAAIT team.
Analytics
Learning Analytics turns learning data into immediate feedback for students and teaching staff. Academic Analytics looks at how degree programmes progress and thus enables a more manageable course of study.
AI for Teaching
Practical AI tools support teaching staff didactically — from AI tutors and MOOCs to help with safe, effective prompting.
Services of the unit
Tools and offerings that FLAAIT operates — and how to use them.
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- AI for Teaching
Chatbot for drafting and analysing course descriptions.
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- AI for Teaching
- Future Learning
API access to AI language models for teaching programming.
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- AI for Teaching
- Future Learning
Learning platform for using AI effectively in your own work.
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- AI for Teaching
Open-source chatbot that leads to the right source thanks to metadata.
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- Analytics
Following your own study progress in an understandable way.
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Projects
Research and development — at TU Graz and with partners in Austria and the EU.
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- Analytics
- AI for Teaching
The Erasmus+ project combines data literacy and ethical data governance with human-centred learning analytics in everyday European school life — forming a framework for future projects.
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- Future Learning
- AI for Teaching
Erasmus+ project that treats digital competences and sustainability together — in professional development for teachers across Europe.
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- Future Learning
- AI for Teaching
- Analytics
A joint doctoral programme of TU Graz and the University College of Teacher Education Styria: what can digital education in computer science look like today and in the future?
The logos of the partners and the projects are protected by copyright and trademark law and are excluded from this site’s CC BY licence. They appear here solely to identify the cooperation; all rights remain with the respective organisations.
News
News from the FLAAIT blog — for example newly available models.
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Course Description Chatbot now runs on GPT-5.1
The language model behind the Course Description Chatbot has been updated to GPT-5.1 for compatibility reasons.
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Course description chatbot is online
The first FLAAIT service in regular operation: teaching staff can now have their course descriptions checked with a traffic-light rating.