Self-Regulated and skilled interaction with generative AI: Diagnosis and training

Project description

Generative AI offers support to students across various learning and performance contexts. Its applications range from delegating learning tasks to AI, utilising AI as a tutor (e.g., for personalised feedback), to collaboratively constructing knowledge. In each scenario, effective self-regulated use of AI is crucial. This involves students metacognitively monitoring and regulating AI-generated outputs and interaction activities to ensure high-quality outcomes.

The project focuses on higher education students’ AI interaction within the context of “communication, society, and participation”, emphasising self-regulated learning. To achieve its goals, the project team: (1) develops a scenario-based competence test to assess AI-skills, (2) analyses the quality of AI interactions, and (3) designs and evaluates training materials to enhance AI interaction skills and improve interaction quality. Beyond targeting learners directly, the project engages teachers and educational administrators to facilitate the integration of its findings and materials into educational practice.

Project team