Talk on ChatGPT and Learning

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... to the pages of the field of work Organizational Psychology within the Faculty of Business Studies and Economics.
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In the focus of research: How can we improve the conditions for work, learning and professional development of employees in organizations?
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Focal teaching topics: organizational development, methods of organizational diagnosis, and diversity in organizations.
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At the SIG 14 "Learning and Professional Development" EARLI conference in Jyväskylä, Finland, Dr. Julian Decius presented current research conducted by the field of work "Organizational Psychology" on the influence of generative AI on work-related learning. Specifically, the presentation dealt with the conditions under which the use of generative AI bots such as ChatGPT can promote or inhibit work-related learning. The field of work "Organizational Psychology" would like to thank the entire conference organization of the University of Jyväskylä and SIG 14 for the successful conference.

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Enrique-Schmidt-Str. 1
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Phone: +49 421 218 66590
E-mail:
julian.deciusprotect me ?!uni-bremenprotect me ?!.de

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This topic focuses on how (informal) learning behavior in organizations changes over days, weeks, and months. Moreover, we analyze the dynamics of work-related learning and how learning trajectories differ between employees.

Ein Modell einer Montagehalle mit der Aufschrift "Technikstation".

The goal of this thematic focus is to examine conducive conditions for work-related learning, employability, and organizational development, both by managers (e.g., shaping learning culture) and by employees (e.g., job crafting).

This topic is dedicated to the question of how employees in dynamic work environments can be empowered to learn "what they really, really want" in a self-directed way. The "Learning Opportunities Perception Potential", which helps employees to grasp learning opportunities, is considered crucial here.

Field of work Organizational Psychology

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Talk on ChatGPT and Learning

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Dr. Julian Decius

Learning processes over time

Designing work contexts

New Work requires New Learning