Generative AI in Training and Coaching: Redefining the Design Process of Learning Materials
Alexander Komar, Marc-Andr\'e Heidelmann, Kristina Schaaff

TL;DR
This paper examines how Generative AI is transforming the design of learning materials, impacting trainer roles, efficiency, and trust in educational and corporate settings.
Contribution
It provides qualitative insights into AI's integration into training design, highlighting shifts in trainer roles, efficiency benefits, and trust dynamics.
Findings
Trainers shift from content creation to facilitation and moderation.
Efficiency gains enable strategic focus but require new skills.
Anthropomorphism of AI influences user trust and expectations.
Abstract
Generative artificial intelligence (GenAI) is transforming education, redefining the role of trainers and coaches in learning environments. In our study, we explore how AI integrates into the design process of learning materials, assessing its impact on efficiency, pedagogical quality, and the evolving role of human trainers and coaches. Through qualitative interviews with professionals in education and corporate training, we identify the following key topics: trainers and coaches increasingly act as facilitators and content moderators rather than primary creators, efficiency gains allow for a stronger strategic focus but at the same time the new tools require new skills. Additionally, we analyze how the anthropomorphism of AI shapes user trust and expectations. From these insights, we derive how tools based on GenAI can successfully be implemented for trainers and coaches on an…
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