Research on the Application of Artificial Intelligence in the Education and Teaching System

Tannmay Gupta
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Abstract

The world has seen a significant transformation over the last ten years due to the steady advancement of innovation, which has also reduced processing power in many facets of everyday life. Understanding physical intelligence in all of its manifestations was one of computer science's major goals. Conventional teaching approaches that rely on lectures or include passive learning styles for the student are ineffective. Technology in higher education encourages interactive education, where the student's motivation increases and becomes the primary performer in his education. Artificial intelligence, a rapidly developing field of intelligence, can analyze vast amounts of data effectively and quickly, significantly enhancing the educational field. As a result, a smart education management framework employing artificial intelligence has been suggested. The framework is established inside a Hadoop-controlled storage group, which serves as the environment's server cluster. The associated facilities for education administration, learning platforms, and virtual teaching have been established in the framework. As a dataset, students were utilized. Analysis of Variance (ANOVA) is used to assess the use of AI in education. The test outcomes were assessed using several criteria and contrasted using different technologies. The test results demonstrate that AI has a beneficial effect on educational and instructional systems.
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人工智能在教育教学系统中的应用研究
过去十年来,由于创新的稳步推进,世界发生了重大变革,同时也降低了日常生活中许多方面的处理能力。了解物理智能的所有表现形式是计算机科学的主要目标之一。传统的教学方法依赖于讲授或包括学生被动的学习方式,效果不佳。高等教育中的技术鼓励互动式教育,学生的积极性得到提高,并成为教育的主要执行者。人工智能作为一个快速发展的智能领域,可以有效、快速地分析海量数据,极大地促进了教育领域的发展。因此,我们提出了一个采用人工智能的智能教育管理框架。该框架建立在一个由 Hadoop 控制的存储组内,作为环境的服务器集群。框架中还建立了教育管理、学习平台和虚拟教学等相关设施。数据集以学生为对象。方差分析(ANOVA)用于评估人工智能在教育中的应用。测试结果采用多个标准进行评估,并使用不同技术进行对比。测试结果表明,人工智能对教育和教学系统具有有益的影响。
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