Activity theory as framework for analysis of workplace learning technologies: the case of generative AI conversational agents
Martinez Marroquin, Elisa, and Senadji, Bouchra (2025) Activity theory as framework for analysis of workplace learning technologies: the case of generative AI conversational agents. International Journal of Information and Learning Technology, 42 (4). pp. 353-365.
|
PDF (Published Version)
- Published Version
Available under License Creative Commons Attribution. Download (657kB) | Preview |
Abstract
Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education’s learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and limitations of generative AI conversational agents, as an example of application. Design/methodology/approach: Using activity theory (AT) as theoretical framework, we model workplace learning as an activity, intertwined with work and mediated by technology, and expose contradictions that arise when technology developed for formal education is adopted at work. From these tensions, we derive functional requirements and illustrate their use by comparing them to ChatGPT’s affordances. Findings: A framework is proposed for design and assessment of enabling technologies for workplace learning. In applying it to ChatGPT, as paradigm of conversational agents, we find the aspects that are particularly suitable to enhance workplace learning, and those that need further development. Originality/value: The theoretical approach is novel. Previous research is based on reported use-cases of enabling technologies, such as generative artificial intelligence (GenAI), in the workplace or on the analysis of the learner’s experience when these technologies are embedded in structured training modules. The present study addresses the limitations of current retrospective research, providing a forward-looking approach.
| Item ID: | 88461 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2056-4899 |
| Keywords: | Activity theory, ChatGPT, Conversational agents, Generative artificial intelligence, Informal learning, Learning technology, Workplace learning |
| Copyright Information: | © Elisa Martinez Marroquin and Bouchra Senadji. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode |
| Date Deposited: | 21 Apr 2026 06:53 |
| FoR Codes: | 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460208 Natural language processing @ 100% |
| SEO Codes: | 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 100% |
| More Statistics |
