An Adaptive Model for the Development of Management Competencies in the Domain of Artificial Intelligence
DOI:
https://doi.org/10.56177/12icmie2025.154Keywords:
Artificial Intelligence, AI Managerial Competencies, Leadership Development, Intelligent Tutoring Systems, Adaptive Learning TechnologiesAbstract
Artificial Intelligence (AI) dramatically changes the way business is done today. It provides significant opportunities for operational improvements, increased speed and efficiency and shorter time-to-market. Yet the use of AI also raises ethical, legal and security concers. In order to realise its benefits and avoid its pitfalls, managers need to understand the main concepts, tools and techniques available to them in the AI domain of knowledge. They need to become skilled at validating the multiple business cases of using AI in their specific domain, but also at avoiding wrong AI investment decisions. Managers need to be open to experimenting with AI but also educate themselves and the other stakeholders of their business on having realistic expectations from the adoption of AI.
The competencies that managers need to develop in the area of AI, regardless of their role and business function they operate in, has become subject of increased research recently. We have also answered to a few related research questions in our previous papers: “What do managers need to know in the area of Artificial Intelligence?” and “How to organize the AI domain of knowledge to be fit for tutoring managers” or “What could be a proper architecture for an Intelligent Tutoring System for business”[3]. In this paper, we investigate the actual process of developing AI managerial competencies by the use of Intelligent Tutoring Systems (ITS). We thus now search the answer to the following specific research question:
- How can we accelerate the process of AI managerial competencies development by using adaptive learning technologies?
At this stage, this is a desktop research of the topic and also a proposal for discussion. The subject can only be further tested and quantitatively explored once we develop a first prototype of the ITS.
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Copyright (c) 2025 Ciprian Negura, Prof. dr. ing. IONESCU Sorin Cristian
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