Lavinia Hofmann

Research Assistant, PhD Student
Room: 276
Office Hours: by Appointment
E-Mail: lavinia.hofmann[at]tum[dot]de
About Me
I am a Ph.D. candidate at the Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM). My advisor is Prof. Dr. Enkelejda Kasneci.
My research focuses on developing AI-based tools that provide adaptive, strategy-oriented guidance to support elementary school students in solving mathematical word problems.
I hold a degree in primary education from Ludwig Maximilian University of Munich (LMU), and I completed my teacher training thereafter. For the past two years, I have worked as a full-time primary school teacher and currently serve as the homeroom teacher of a third-grade class.
Through my work, I aim to bridge the gap between educational research and classroom practice by fostering the effective and responsible integration of AI technologies in primary education.
Career Development
2025 – now: Ph. D. Candidate at TU Munich, Germany
2024 – 2025: Primary School Teacher, teaching 4th grade
2022 – 2024: Second State Examination (Primary Education) in Munich, Germany
2017 – 2021: First State Examination (Primary Education) at LMU Munich, Germany
Research Interest
LLMs/ AI in Primary Education
Adaptive Learning/ Strategy-Based Support
AI-Supported Problem-Solving and Intelligent Tutoring Systems