Abstract: In order to improve learning outcomes for IT workers, this study describes the development and assessment of an AI based IT training system. The system makes use of machine learning algorithms to tailor training materials and dynamically modify the learning process according to the unique qualities and performance of each student. Significant gains in participants' information retention and skill learning were found in pilot research that evaluated the system's efficacy. The design and implementation of the AI-based training system, along with the data collecting and analysis of learner performance measures, comprised the methodology of the study. The outcomes show how the system may adaptively customize training sessions to improve learning outcomes. This work makes a valuable contribution to the development of AI-powered educational technology and has the potential to enhance professional IT training approaches. In order to improve learning outcomes for IT workers, this study describes the development and assessment of an AI- based IT training system. The system makes use of machine learning algorithms to tailor training materials and dynamically modify the learning process according to the unique qualities and performance of each student. Significant gains in participants' information retention and skill learning were found in pilot research that evaluated the system's efficacy. The design and implementation of the AI-based training system, along with the data collecting and analysis of learner performance measures, comprised the methodology of the study. The outcomes show how the system may adaptively customize training sessions to improve learning outcomes. This work makes a valuable contribution to the development of AI powered educational technology and has the potential to enhance professional IT training approaches.
Keywords: Adaptive Learning, AI-LMS (Artificial Intelligence – Learning Mechanism System), Personalized Learning, Intelligent Tutoring System, Virtual Assistant
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DOI:
10.17148/IJARCCE.2024.134110
