利用人工智能和增强现实技术改进教学

Q4 Engineering
A. Zouhri, M. El Mallahi
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引用次数: 0

摘要

随着技术的飞速发展,教育领域的教学方法和课堂动态正在发生重大变革。人工智能(AI)和增强现实(AR)这两项突出技术在教育领域的地位日益突出,有望彻底改变教与学的方式。本文探讨了将人工智能和增强现实技术融入教学过程以提高学生参与度和学习效果的潜在好处、挑战和实际应用。人工智能驱动的算法会分析大量的学生数据,包括学习模式、优势和劣势,从而创建量身定制的学习路径。这种个性化方法可以帮助教育工作者识别学生的独特需求,并提供有针对性的支持,确保不让一个学生掉队。此外,基于人工智能的聊天机器人和虚拟教学助理正越来越多地用于及时解决学生的疑问,提供实时支持,并促进更具互动性的学习环境。学生可以通过可视化、模拟和互动演示来探索复杂的概念,从而加深对抽象主题的理解。AR 还能促进学生之间的协作和团队精神,促进主动学习和点对点知识共享。人工智能可以分析 AR 生成的数据,实时调整教学策略,对学生的个人进步做出反应。这种协同作用不仅能提高学习效果,还能赋予教师以数据驱动的洞察力,使他们能够就教学方法做出明智的决策。然而,在教育领域成功实施人工智能和 AR 技术也面临着挑战。与数据隐私相关的问题、伦理考虑以及在使用这些技术时对教师进行有效培训的必要性都需要认真关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Teaching Using Artificial Intelligence and Augmented Reality
With the rapid advancements in technology, the educational landscape is witnessing significant transformations in pedagogy and classroom dynamics. Two prominent technologies, Artificial Intelligence (AI) and Augmented Reality (AR), are gaining prominence in the field of education, promising to revolutionize the way teaching and learning take place. This article explores the potential benefits, challenges, and practical applications of integrating AI and AR into the teaching process to enhance student engagement and learning outcomes. The integration of AI in education brings forth personalized learning experiences. AI-powered algorithms analyze vast amounts of student data, including learning patterns, strengths, and weaknesses, to create tailored learning paths. This individualized approach helps educators identify students' unique needs and provide targeted support, ensuring that no student is left behind. Moreover, AI-based chatbots and virtual teaching assistants are increasingly being used to address student queries promptly, providing real-time support and fostering a more interactive learning environment. AR, on the other hand, enables the overlay of virtual objects and information in the real-world environment.. Students can explore complex concepts through visualizations, simulations, and interactive demonstrations, facilitating a deeper understanding of abstract topics. AR also fosters collaboration and teamwork among students, promoting active learning and peer-to-peer knowledge sharing. Combining AI and AR technologies offers a powerful synergy in the educational realm. AI can analyze AR-generated data and adapt instructional strategies in real time, responding to individual students' progress. This synergy not only enhances learning outcomes but also empowers teachers with data-driven insights, enabling them to make informed decisions about their teaching methodologies. However, successfully implementing AI and AR in education comes with its challenges. Issues related to data privacy, ethical considerations, and the need for effective teacher training in utilizing these technologies require careful attention.
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来源期刊
Journal of Automation, Mobile Robotics and Intelligent Systems
Journal of Automation, Mobile Robotics and Intelligent Systems Engineering-Control and Systems Engineering
CiteScore
1.10
自引率
0.00%
发文量
25
期刊介绍: Fundamentals of automation and robotics Applied automatics Mobile robots control Distributed systems Navigation Mechatronics systems in robotics Sensors and actuators Data transmission Biomechatronics Mobile computing
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