Steinbeis-Transferzentrum Data Analytics und Predictive Modelling
Whitepaper 2026

heyprof – An AI-Powered Platform for Teaching

Published in
NXT Sustainability and Technology, Reutlingen University
Issue
March 2026, Version 1.0
Authors
Volker Reichenberger, Dirk Schieborn

heyprof is a web-based platform for course organisation and teaching support, characterised by the consistent integration of large language models. At its core is a dialogue-based AI tutor that guides students through Socratic dialogue — rather than providing ready-made solutions. The current state and context of the course is taken into account to provide targeted, level-appropriate support.

The AI tutor knows the exact text of the current task, the model solution and the instructor's private tutor notes, the student's current code and relevant passages from the course script. Through Retrieval-Augmented Generation (RAG), it responds exclusively on the basis of course materials — not from the model's general world knowledge.

The platform offers features for instructors (course and session management, task editor, exam management, recordings and transcription) and for students (learning studio, six submission channels, task variants). heyprof is available as an alpha version at heyprof.app. The first courses will take place in the summer semester 2026.

Authors

Prof. Dr. Dirk Schieborn Prof. Dr. Volker Reichenberger

Prof. Dr. Dirk Schieborn and Prof. Dr. Volker Reichenberger

Steinbeis Transfer Centre for Data Analytics and Predictive Modelling

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