Proposed artificial intelligence algorithm and deep learning techniques for development of higher education

Amin Al Ka'bi
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引用次数: 4

Abstract

Artificial intelligence (AI) has been increasingly impacting various aspects of our daily lives, including education. With the rise of digital technologies, higher education has also been experiencing a transformation, and AI has been playing a crucial role in this transformation. The application of AI in higher education has been rapidly increasing, with a focus on improving student engagement, increasing efficiency, and enhancing the learning experience. The use of AI in higher education is not without its challenges and ethical considerations. One of the biggest challenges is ensuring the accuracy and fairness of AI algorithms, as well as avoiding potential biases. In addition, there are concerns about the privacy of student data, as well as the potential for AI to replace human instructors and support staff. Another challenge is ensuring that AI is used in a way that supports the overall goals of higher education, such as promoting critical thinking and creativity, rather than just being used as a tool for automating tasks and increasing efficiency. In this article, we will discuss the various ways in which AI is being applied in higher education where a proposed model for improving the cognitive capability of students is proposed and compared to other existing algorithms. It will be shown that the proposed model shows better performance compared to other models.

为高等教育发展提出的人工智能算法和深度学习技术
人工智能(AI)越来越多地影响着我们日常生活的各个方面,包括教育。随着数字技术的兴起,高等教育也在经历转型,人工智能在这一转型中发挥着至关重要的作用。人工智能在高等教育中的应用迅速增加,重点是提高学生参与度、提高效率和增强学习体验。人工智能在高等教育中的应用并非没有挑战和伦理考虑。最大的挑战之一是确保人工智能算法的准确性和公平性,以及避免潜在的偏见。此外,还有人担心学生数据的隐私,以及人工智能取代人类导师和支持人员的潜力。另一个挑战是确保人工智能的使用方式支持高等教育的总体目标,例如促进批判性思维和创造力,而不仅仅是作为自动化任务和提高效率的工具。在这篇文章中,我们将讨论人工智能在高等教育中的各种应用方式,其中提出了一个提高学生认知能力的模型,并与其他现有算法进行了比较。将表明,与其他模型相比,所提出的模型显示出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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