“教育中的人工智能:个性化学习的机遇与挑战”研究

E. G. Lydia, P. Vidhyavathi, P. Malathi
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引用次数: 0

摘要

人工智能(AI)在教育中的应用有可能彻底改变我们的教学方式,使教育更加个性化、更吸引人、更有效。人工智能可以用来开发个性化的学习系统,以适应个体学习者的需求和能力。这些系统可以使用学习者表现和行为等数据来创建定制的学习体验,从而提高参与度和学习成果。人工智能还可以用于开发智能辅导系统,为学习者提供反馈和指导。这些系统可以使用数据分析来跟踪学习者的学习进度,并提供有针对性的反馈和支持,帮助学习者实现学习目标。此外,人工智能语言学习工具、自动评分和评估、沉浸式虚拟和增强现实学习环境是人工智能在教育中的其他潜在应用。然而,人工智能在教育中的应用也带来了一些挑战,包括与隐私、数据安全、偏见和道德有关的问题。重要的是要确保以道德和负责任的方式开发和使用人工智能,以避免任何负面后果。此外,在教育中实施人工智能需要教育工作者、管理人员、开发人员和政策制定者之间的协作和协调。本文回顾了在教育领域使用人工智能的机遇和挑战,并重点介绍了该领域的一些最新研究。论文最后提出了在教育中使用人工智能进行个性化学习的未来研究和实践的建议。
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A STUDY ON "AI IN EDUCATION: OPPORTUNITIES AND CHALLENGES FOR PERSONALIZED LEARNING
The use of Artificial Intelligence (AI) in education has the potential to revolutionize the way we teach and learn, making education more personalized, engaging, and effective. AI can be used to develop personalized learning systems that adapt to the needs and abilities of individual learners. These systems can use data such as learner performance and behavior to create customized learning experiences that improve engagement and learning outcomes. AI can also be used to develop intelligent tutoring systems that provide feedback and guidance to learners. These systems can use data analytics to track learner progress and provide targeted feedback and support to help learners achieve their learning objectives. In addition, AI-powered language learning tools, automated grading and assessment, and immersive virtual and augmented reality learning environments are some of the other potential applications of AI in education. However, the adoption of AI in education also brings some challenges, including issues related to privacy, data security, bias, and ethics. It is important to ensure that AI is developed and used in an ethical and responsible manner to avoid any negative consequences. Moreover, the implementation of AI in education requires collaboration and coordination among educators, administrators, developers, and policymakers. This paper reviews the opportunities and challenges of using AI in the field of education, and highlights some of the recent research in this area. The paper concludes with recommendations for future research and practice in the use of AI for personalized learning in education.
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来源期刊
Journal of Industrial Engineering International
Journal of Industrial Engineering International Engineering-Industrial and Manufacturing Engineering
CiteScore
4.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: Journal of Industrial Engineering International is an international journal dedicated to the latest advancement of industrial engineering. The goal of this journal is to provide a platform for engineers and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of industrial engineering. All manuscripts must be prepared in English and are subject to a rigorous and fair peer-review process. Accepted articles will immediately appear online. The journal publishes original research articles, review articles, technical notes, case studies and letters to the Editor, including but not limited to the following fields: Operations Research and Decision-Making Models, Production Planning and Inventory Control, Supply Chain Management, Quality Engineering, Applications of Fuzzy Theory in Industrial Engineering, Applications of Stochastic Models in Industrial Engineering, Applications of Metaheuristic Methods in Industrial Engineering.
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