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Revolutionizing Student Engagement: Artificial Intelligence’s Impact on Specialized Learning Motivation

Journal: International Journal of Advanced Engineering Research and Science (Vol.10, No. 09)

Publication Date:

Authors : ;

Page : 27-31

Keywords : Artificial Intelligence; Student Motivation; Specialist Formation; Personalized Learning; Adaptive Learning Environments.;

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The achievement of specialist formation necessitates students to be highly determined in order to take part actively in the learning and honing of skills. This article investigates how Artificial Intelligence (AI) can help increase student commitment during their preparation for a specialized field. It is proposed that AI-powered technologies such as virtual assistants, intelligent tutoring systems, and algorithms are able to provide personalized feedbacks, adaptable evaluations, and individualized curriculums which address each learner's particular needs and preferences1. The paper surveys empirical studies as well as theoretical frameworks which present evidence on the advantageous effects of AI on motivation among students including autonomy, competency, and relatedness along with other factors. Moreover; it also delves into possible ethical issues associated with utilizing AI to boost student enthusiasm like data security or algorithmic bias – both must be taken into account carefully so that its integration into education can be done responsibly yet fruitfully. In conclusion; this abstract highlights the necessity for additional research alongside partnership between educators/ researchers/ developers who use AI technology if we want to make full use out of it while stimulating motivation amongst learners thus enabling successful realization of specialist formation objectives.

Last modified: 2023-09-21 13:27:34