Project R-15271

Mensgerichte AI voor gepersonaliseerd leren voor handmatige vaardigheden (Research)

Artificial intelligence (AI) research is rapidly transforming the educational sector, offering both opportunities and challenges. AI promises personalized learning experiences, improved access to resources, and, ideally, more efficient learning. However, it also raises concerns about ethics and privacy. My research takes a human-centered approach to integrate AI in education. Specifically, we will explore how AI can offer personalized learning paths to learning manual skills in structured processes such as school labs, industrial assembly, and clinical procedures. The main objective is to gather and integrate various sources of information, such as data on individuals, processes, study materials, and contextual factors like environmental conditions or tool usage, to provide detailed feedback and real-time guidance for specific students' actions. We will study different guidance levels based on domain-specific constraints like time, procedures, spatial, and movement patterns. This technical approach will be complemented by pedagogical theory, ensuring that the integration of AI supports effective learning. Additionally, we will prioritize transparency, user control, and agency in the educational process, ensuring students and other stakeholders can shape their learning experiences. By focusing on human-centered and human-in-the-loop methodologies, we aim to ensure that AI in education fulfills ethical and privacy requirements.

01 September 2024 - 31 August 2028