物联网教育(XoT):利用人工智能和边缘计算实现万物教育

IF 3.4 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rio Nurtantyana;Wu-Yuin Hwang;Uun Hariyanti
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引用次数: 0

摘要

大多数英语外语 (EFL) 研究只关注人类。本研究探讨了边缘计算如何促进万物学习。XoT(Xducation of Things,物的教育)框架的提出是为了教育人类和万物。万物包括两个术语:人工智能代理(AI-Agent)和智能物体(smartthings)(涵盖物理和数字智能物体)。该框架的核心是智能问题解答转发机制(SQA-Forwarding),专门用于帮助万物积累知识。为了证明这一点,基于 XoT 框架开发了 smartXoT 环境,并评估了其对 EFL 学习者的影响。一项涉及 26 名 EFL 学习者(分为实验组(EG)和对照组(CG))的准实验研究,考察了 Smartthings 和 EFL 学习者在使用有/无 SQA-Forwarding 的 smartXoT 环境时学习成绩的差异。研究结果表明,一方面,EG 中的 smartthings 比 CG 中的 smartthings 发展了更多的知识基础。另一方面,EFL 学习者与带有 SQA-Forwarding 的 smartthings 之间的互动显著提高了学习者的写作技能,其中修改在提高写作质量方面发挥了关键作用。因此,XoT 框架为人与万物的教育提供了一种新颖而有前景的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Xducation of Things (XoT): Harnessing AI and Edge Computing to Educate All Things
Most English foreign language (EFL) studies focus solely on human beings. This research explores how edge computing can facilitate learning for all things. The XoT (Xducation of Things) framework was proposed to educate both human and all things. All things encompass two terms: AI-Agent and smartthings (covering physical and digital smart objects). At the core of this framework is Smart Question Answer Forwarding Mechanism (SQA-Forwarding), specifically designed to assist all things in building knowledge. To demonstrate this, the smartXoT environment was developed based on XoT framework, and its impacts on EFL learners was assessed. A quasi-experimental study involving 26 EFL learners, divided into an experimental group (EG) and a control group (CG), examined the differences in learning achievement of smartthingsand EFL learners when using the smartXoT environment with/without SQA-Forwarding. Findings, on one hand, indicated that smartthingsin the EG developed knowledge bases greater than those in the CG. On the other hand, the interaction between EFL learners and smartthingswith SQA-Forwarding significantly improved learners’ writing skills, with revisions playing a crucial role in enhancing writing quality. Thus, the XoT framework offers a novel and promising approach to educating both humans and all things.
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来源期刊
IEEE Access
IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍: IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.
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