教育平台的优化与可扩展性:人工智能与云计算的融合

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers Pub Date : 2023-11-01 DOI:10.3390/computers12110223
Jaime Govea, Ernesto Ocampo Edye, Solange Revelo-Tapia, William Villegas-Ch
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引用次数: 0

摘要

通过先进的数字工具改变教与学的前景,推动了技术与教育之间的交叉,呈现出前所未有的相关性。本研究提出了云计算和人工智能如何融合影响教育的全面探索,重点关注学习的可及性、效率和质量。一项混合研究设计发现,由于人工智能,教育内容的个性化提高了25%,通过云计算,同时用户容量增加了60%。此外,在不牺牲质量的情况下,还显著减少了管理错误,提高了可伸缩性。结果表明,这些技术不仅提高了教育的效率和可及性,而且丰富了学习经验。通过将这些发现与之前的研究结果进行比较,本研究强调了这些技术的协同价值,并将自己定位为指导数字化先进世界中教育部门未来发展和改进的关键资源。
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Optimization and Scalability of Educational Platforms: Integration of Artificial Intelligence and Cloud Computing
The intersection between technology and education has taken on unprecedented relevance, driven by the promise of transforming teaching and learning through advanced digital tools. This study proposes a comprehensive exploration of how cloud computing and artificial intelligence converge to impact education, focusing on accessibility, efficiency, and quality of learning. A mixed-research design identified a 25% improvement in the personalization of educational content thanks to AI and a 60% increase in simultaneous user capacity through cloud computing. Additionally, a significant reduction in administrative errors and improvements in scalability were observed without sacrificing quality. The results demonstrate that these technologies not only improve efficiency and accessibility in education but also enrich the learning experience. By comparing these findings with previous research, this study highlights the synergistic value of these technologies and positions itself as a critical resource to guide future developments and improvements in the education sector in a digitally advanced world.
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来源期刊
Computers
Computers COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.40
自引率
3.60%
发文量
153
审稿时长
11 weeks
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