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Artificial intelligence-based training learning from application

机译：基于人工智能的培训学习

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With accelerated developments in technology, the future of work is poised for change. Many people are curious to learn how artificial intelligence (Al) will disrupt their jobs and work processes. Some experts believe Al will create new lines of business and jobs and will assist employees to do their job more efficiently and effectively. Many existing jobs such as paralegals, journalists, office workers, and computer programmers are under threat because of the growth of Al and organizations have started to realize the need to re-skill and train their existing workforce. Training and development functions are also witnessing a significant transformation due to recent applications of Al. Al is the simulation of human intelligence processes like learning, reasoning, and self-correction by machines, including computer systems. Typical applications of Al include expert systems and speech recognition. Al aids assessment of training needs, the design of personalized content and delivery of training when and where convenient for trainees. In other words, Al helps learners by adding context, specificity, relevance, and personalization to training processes and methods. Al can make learning specific, interesting, engaging, experiential, and measurable. Al can solve many of the significant challenges often faced by trainers, such as the delivery of customized solutions and measurement of effectiveness of training programs. This paper discusses the rationale, theoretical foundation, application, and future of Al-based training through a review of relevant research papers, articles, and case studies.
机译：随着技术的加速发展，未来的工作将为变革做好准备。许多人好奇地了解人工智能（Al）如何破坏他们的工作和工作流程。一些专家认为，艾尔将创造新的业务和工作机会，并将协助员工更有效地完成工作。由于Al的增长，律师助理，新闻工作者，办公室工作人员和计算机程序员等许多现有工作受到威胁，并且组织已经开始意识到需要重新技能和培训其现有劳动力。由于Al的最新应用，培训和发展职能也发生了重大变化。 A1是对人类智力过程的仿真，例如机器（包括计算机系统）的学习，推理和自我纠正。 Al的典型应用包括专家系统和语音识别。 Al有助于评估培训需求，个性化内容的设计以及在方便学员的时间和地点提供培训。换句话说，A1通过在培训过程和方法中增加背景，特异性，相关性和个性化来帮助学习者。 Al可以使学习变得具体，有趣，引人入胜，经验丰富且可衡量。 Al可以解决培训师经常面临的许多重大挑战，例如提供定制的解决方案和衡量培训计划的有效性。本文通过对相关研究论文，文章和案例研究的回顾，讨论了基于Al的培训的原理，理论基础，应用和未来。

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