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

Samreen Rizvi
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Abstract

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.
革命性的学生参与:人工智能对专业学习动机的影响
专业形成的成就要求学生有高度的决心,以便积极参与技能的学习和磨练。本文探讨了人工智能(AI)如何帮助学生在准备专业领域时增加投入。有人提出,人工智能技术,如虚拟助理、智能辅导系统和算法,能够提供个性化的反馈、适应性评估和个性化的课程,以满足每个学习者的特殊需求和偏好1。本文调查了实证研究和理论框架,这些研究和理论框架提供了人工智能对学生动机的有利影响的证据,包括自主性、能力、相关性以及其他因素。此外;它还深入探讨了与利用人工智能来提高学生热情相关的可能的伦理问题,如数据安全或算法偏见——这两个问题都必须仔细考虑,这样人工智能与教育的结合才能负责任地、富有成效地完成。结论;如果我们想要充分利用人工智能技术,同时激发学习者的动机,从而成功实现专业人才培养目标,那么本摘要强调了在使用人工智能技术的教育者/研究人员/开发人员之间进行额外研究和合作的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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