Flexible English Learning Platform using Collaborative Cloud-Fog-Edge Networking

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Scalable Computing-Practice and Experience Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2224
Sian Chen, Linqiang Tang
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引用次数: 0

Abstract

In the modern age, developing practical online learning tools for English language learners is challenging due to existing systems’ shortcomings. These systems often need proper instructional design, are well-connected to motivational theories, and have limited infrastructure for data sharing, leading to poor learning outcomes and low motivation. To tackle these issues, a new approach called OAELT has been proposed in this paper. OAELT is an Online Assisted English Learning Tool that uses the Fuzzy Analytical Hierarchy Process (FAHP) and collaborative cloud-fog-edge networking to create a flexible learning design that adapts to the needs and preferences of individual learners. Using the FAHP approach, OAELT provides an improved learning experience by tailoring its design to each learner’s unique needs. The collaborative cloud-fog-edge networking approach uses each computing layer’s strengths to deliver a personalized and seamless learning experience. OAELT employs adaptive and dynamic approaches within a flexible instructional paradigm to ensure effective instructional design. This paradigm facilitates collective learning data exchange across cloud, fog, and edge computing layers. The effectiveness of OAELT was evaluated using a descriptive statistics approach, which included a five-dimension questionnaire for students covering cognition, emotion, action, cooperation, and literacy. The results demonstrated that OAELT could enhance learning effectiveness and motivation while providing a flexible and seamless learning experience. According to the experimental data of the proposed model, 46.8% of learners often read English magazines and newspapers to improve their flexibility in English learning. Additionally, 50.4% classified and memorized English according to their categories, while 59% of learners often used context to memorize. These findings suggest that the traditional methods for flexible English learning are not adequate, and the average score of the student’s methods and strategies is mediocre. However, after using OAELT, some students have been able to use different learning curricular reading. Overall, OAELT’s integration of cloud-fog-edge computing with a flexible English learning design can create a more effective and personalized learning system that addresses the challenges of modern learning.
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灵活的英语学习平台使用协作云雾边缘网络
在当今时代,由于现有系统的不足,为英语学习者开发实用的在线学习工具是一项挑战。这些系统通常需要适当的教学设计,与动机理论紧密相连,数据共享基础设施有限,导致学习效果差,动机低。为了解决这些问题,本文提出了一种称为OAELT的新方法。OAELT是一种在线辅助英语学习工具,它使用模糊分析层次过程(FAHP)和协作云-雾边缘网络来创建灵活的学习设计,以适应个人学习者的需求和偏好。使用FAHP方法,OAELT通过根据每个学习者的独特需求定制其设计来提供改进的学习体验。协作cloud-fog-edge网络方法使用每个计算层提供一个个性化的优势和无缝学习经验。OAELT在灵活的教学范式中采用自适应和动态的方法来确保有效的教学设计。这种范例促进了跨云、雾和边缘计算层的集体学习数据交换。使用描述性统计方法对OAELT的有效性进行评估,该方法包括对学生进行五维问卷调查,涵盖认知,情感,行动,合作和读写能力。结果表明,OAELT在提供灵活和无缝的学习体验的同时,可以提高学习效率和动机。根据所提出模型的实验数据,46.8%的学习者经常阅读英语杂志和报纸,以提高英语学习的灵活性。此外,50.4%的学习者根据类别对英语进行分类和记忆,59%的学习者经常使用上下文来记忆。这些发现表明,传统的灵活英语学习方法是不够的,学生的方法和策略的平均得分一般。然而,在使用OAELT后,一些学生已经能够使用不同的课程阅读来学习。总体而言,OAELT将云雾边缘计算与灵活的英语学习设计相结合,可以创建一个更有效和个性化的学习系统,以应对现代学习的挑战。
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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来源期刊
Scalable Computing-Practice and Experience
Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊介绍: The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.
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