Impact of AI on Education: Innovative Tools and Trends

Doctor P. Z Msekelwa
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Abstract

Every year, digital technologies appear in every industry. The new, developing technologies offer both advantages and disadvantages. The following are some recent examples of cutting-edge innovations in technology: data science, cybersecurity, block chain technology, artificial intelligence, machine learning, quantum learning, Internet of Things (IoT), 5G and 6G networks, hyper automation, cloud computing, robotics, and natural language processing. AL and ML combined with other cutting-edge, popular technologies have the potential to yield the positive outcomes and contribute to a greener future. Personalized medicine, drug development and predictive diagnostics using large scale data sets are all areas where machine learning might be beneficial to physicians. Students studying mechanical engineering must have a solid understanding of emerging trends such as autonomous vehicles. The potential of AV to create new, improved lifestyle and revolutionize urban planning and transportation has attracted a lot of interest.  A research utilized a quantitative technique to further his research. A questionnaire was used to collect data from different participants, and 120 students from different fields in higher education sector were chosen at random. According to research, students who used popular technologies acquired more sophisticated abilities that will increase their output at work. Technology is always changing because it takes ongoing training to keep up with the latest development. The issue of the digital divide will be resolved by ongoing training.
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人工智能对教育的影响:创新工具和趋势
每年,各行各业都会出现数字技术。这些不断发展的新技术既有利也有弊。以下是一些最新的前沿创新技术:数据科学、网络安全、区块链技术、人工智能、机器学习、量子学习、物联网(IoT)、5G 和 6G 网络、超级自动化、云计算、机器人技术和自然语言处理。AL 和 ML 与其他尖端流行技术相结合,有可能产生积极的成果,并有助于创造一个更加绿色的未来。个性化医疗、药物开发和使用大规模数据集的预测性诊断都是机器学习可能对医生有益的领域。学习机械工程的学生必须对自动驾驶汽车等新兴趋势有扎实的了解。自动驾驶汽车在创造新的、更好的生活方式以及彻底改变城市规划和交通方面的潜力引起了广泛关注。 一项研究利用定量技术来推进他的研究。研究采用问卷调查的方式收集不同参与者的数据,随机选取了 120 名来自高等教育领域不同专业的学生。研究结果表明,使用流行技术的学生获得了更复杂的能力,这将提高他们的工作产出。技术总是在不断变化,因为需要不断培训才能跟上最新的发展。数字鸿沟问题将通过持续培训得到解决。
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