Assigned Curriculum: 

Research on Inclusion, Well-being and Sustainability in Education


Brief personal and professional presentation and research interests:

  • PhD Student in Pedagogical, Educational, and Instructional Sciences at the University of Padova (IT); started Nov 2024 (cycle XL)
  • From Hamburg, Germany

Educational research enthusiast with 10+ years of professional experience in adult education currently pursuing doctoral studies about GenAI effectiveness for personalized learning strategies within blended learning concepts in corporate medical device training. Experienced trainer and training manager in the global medical device industry with a theoretical and practical background in educational management, methodology, and technology. Holding a state certificate as an Ophthalmic Optician (DE), a BA in Business Pedagogy (DE), and a MEd in Educational Leadership and Management (UK).


Title PhD project (in progress):

Exploring learning effectiveness factors for GenAI-powered personalized learning strategies within blended learning concepts in corporate medical device training: A mixed methods modelling approach

Abstract PhD project (in progress):

This doctoral research explores learning effectiveness factors in Generative Artificial Intelligence (GenAI)-powered personalized learning within blended medical device training. The study aims to develop and validate a comprehensive model explaining how learner-, system-, and instruction-related factors influence learning effectiveness in regulated corporate contexts. Using a mixed methods exploratory sequential design, Phase I will identify key factors through interviews with educators, learners, and developers; Phase II aims to validate them, and examine their interrelationships via large-scale survey analysis; and Phase III will synthesize findings into a practical model and design guidelines for an effective, compliant GenAI integration. Grounded in personalized learning, blended learning, and AI-in-education theory, this research seeks to advance evidence-based understanding of how GenAI can personalize blended medical device training. Data collection has not yet commenced; the abstract is therefore tentative.


3 key words identifying the PhD project:

GenAI effectiveness, personalized learning, blended learning

Supervisor: 

Prof. Monica Fedeli

Participation as a speaker or co-speaker at national and international conferences/seminars extra training offered:

Publications:

 

Last modified: Thursday, 23 October 2025, 3:31 PM