AI-Powered Assessment and Personalized Feedback for K–12 Education
Clastra is an AI-powered educational technology platform that helps teachers assess student work, identify learning gaps, and provide personalized feedback. By analyzing students’ handwritten and digital assignments, Clastra makes formative assessment more efficient and provides teachers with actionable insights into individual learning progress.
Target Group
K–12 teachers and students, with an initial focus on secondary education.
Mission
Clastra aims to help schools deliver personalized feedback at scale by reducing the time teachers spend reviewing assignments. The platform supports teachers in understanding students’ learning processes, identifying misconceptions, and adapting instruction to individual needs.
Project Outline
Developed by a team of graduates from the Technical University of Munich (TUM) and Istanbul Technical University (ITU), Clastra builds on research in TUM Chair for Human-centered Technologies for Learning.
The platform uses multimodal AI to analyze handwritten solutions, and evaluate them in relation to curriculum-aligned learning objectives. It provides individualized feedback to students and structured learning insights to teachers.
Clastra is currently conducting pilot projects with schools and implementing its technology in real-world classroom environments.
Funding
EXIST Business Start-up Grant (EXIST-Gründungsstipendium), funded by the German Federal Government and the European Social Fund Plus (ESF Plus).
Research Background
Technical University of Munich (TUM), Chair of Human-Centered Technologies for Learning.
