# Generative AI in Training and Coaching: Redefining the Design Process of Learning Materials

arXiv: https://arxiv.org/abs/2508.11662 · HTML: https://mlsanity.com/paper/2508.11662/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 32 references that are in the map.
- First posted on arXiv 6 Aug 2025.

## Builds on (most cited first, 4 of 4)

- [The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations](https://mlsanity.com/paper/2310.04988/) (2023)
- [Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education](https://mlsanity.com/paper/2309.03087/) (2023)
- [Automatic Scoring of Students' Science Writing Using Hybrid Neural Network](https://mlsanity.com/paper/2312.03752/) (2023)
- [Impacts of Anthropomorphizing Large Language Models in Learning Environments](https://mlsanity.com/paper/2408.03945/) (2024)

## Abstract (arXiv)

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 individual, organizational, systemic, and strategic level.