PRIMA-KI: Pproblem-solving learning im Mathematic teaching in primary school with AI accompany.

Didactically sound AI learning support for problem-oriented mathematics learning in primary school

A research project to develop and investigate an adaptive tutoring system for individualized learning in mathematical discovery in primary school.

About the project

As part of digitalization in education, we at the Weingarten University of Teacher Education are investigating the potential and design options of AI-supported learning companions for primary school mathematics lessons. Artificial intelligence offers unique opportunities for individualized, adaptive feedback in problem-based learning – provided it is designed and implemented with a sound didactic approach.

Our PRIMA-KI pilot project develops and researches prototype AI learning companions integrated into math apps to support children in exploring and solving mathematical problems. The focus is on cognitive activation and supporting independent thinking processes.

Project goals

• Development of didactically sound design principles for AI learning companions in primary school
• Development of optimally structured prompts and interaction designs for embedding in existing digital learning offerings for child-friendly adaptive support
• Identification of effective feedback strategies that reduce cognitive load without replacing the learning process
• Evaluation of usage behavior and acceptance among primary school children
• Creating an evidence-based basis for the responsible and data protection-sensitive integration of AI in primary school mathematics education

Current status and planned approach

In the current pilot phase, we are focusing on developing and testing initial prototypes in controlled settings. Through systematic variations and recursive optimization of the AI prompt designs, we are developing design guidelines and a framework for the adaptive support functions based on the integration of AI learning companions into various apps by Christian Urff.

Contact and collaboration

Are you interested in the project and would you like to cooperate or participate as a school or researcher? We look forward to hearing from you!

christian.urff@ph-weingarten.de