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Article History

Received: 7 December 2023

Accepted: 17 August 2024

First Online: 27 September 2024

Declarations

:

: Not applicable.

: On behalf of my co-authors, I am pleased to submit our manuscript “Multi-Agent System-Based Framework for an Intelligent Management of Competency Building" for publication as an original research article in your journal, Smart Learning Environments. The main focus of the paper is to improve the process of competency building during learning. This issue has been addressed by intensive research works, where the learning process is divided into several stages and learning activities are customized to the learners’ learning styles. However, despite their proven results, these solutions, which are difficult to implement for large groups of learners, are limited in identifying the right learning style for the right learner, during the right learning stage. They are also unable to autonomously manage transitions from one learning stage to another, without the need for long, hectic manual interventions. To address these issues, we are proposing in our paper a new framework for an intelligent management of the competency building process. Our framework is based on a recursive spiral Assess-Predict-Oversee-Transit model which is managed by a multi-agent system. This system includes several types of agents that predict, assess, coordinate, and monitor the learning activities depending on the learning styles and leaning stages of learners. The transitions to the right learning stages are then decided along with appropriate recommendations. To showcase some aspects of our solution, we created an Augmented Reality app using the Unity3D engine to train learners on Air Conditioner (AC) maintenance.

: The authors declare that they have no competing interests.