Construction of a new lifelong education system based on vector analysis algorithms for information age services

IF 2 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Applications in Engineering Education Pub Date : 2024-06-22 DOI:10.1002/cae.22774
Yongfang Zhang, Hui Ye, Haijun Chen
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Abstract

In today's rapidly evolving society, the establishment of a learning society is paramount. The lifelong education system (LLES) plays a crucial role in enriching individuals' intellectual and emotional landscapes, fostering continuous growth, and instilling the habit of lifelong learning. However, traditional lifelong education systems often have limitations regarding accessibility, openness, and resource‐sharing, limiting opportunities for lifelong learning and dampening enthusiasm for it. To address these limitations, it is hypothesized that integrating information technology, specifically vector analysis algorithms, into lifelong education systems can revolutionize the learning experience (LE). By leveraging the power of the internet and advanced algorithms, it is expected that a new LLES can offer a superior online learning environment, enriched resources, and intelligent data analysis capabilities, thereby facilitating more effective lifelong learning. The methodology involves the development and implementation of an information age service based on vector analysis algorithms within the lifelong education framework. This study aims to provide learners with enhanced access to high‐quality online learning resources while offering intelligent data analysis to optimize learning pathways. With the continuous development of Internet technology, information technology has been applied to various fields. Information age services (IAS) based on vector analysis algorithms (VAAs) will be combined with LLES. Technology will be utilized to the maximum to provide lifelong learners with a high‐quality online learning environment, online learning resources, and intelligent data analysis to help learners better conduct lifelong learning. Experimental results comparing the new LLES with traditional approaches demonstrated significant improvements. The new system enhanced the matching of teaching materials by 31.8%, offered a wider and more convenient learning path, and provided access to a greater variety of teaching resources. Moreover, learners using the new system exhibited an average learning increase of 7%. The integration of IAS based on VAAs into lifelong education represents a substantial advancement. This innovative approach offers superior teaching resources, educational methods, and learning opportunities, empowering individuals to embrace and sustain lifelong learning journeys more effectively in the digital age.
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构建基于信息时代服务向量分析算法的新型终身教育系统
在当今飞速发展的社会中,建立学习型社会至关重要。终身教育体系(LLES)在丰富个人的知识和情感、促进持续成长、培养终身学习的习惯方面发挥着至关重要的作用。然而,传统的终身教育体系往往在可及性、开放性和资源共享方面存在局限性,限制了终身学习的机会,打击了终身学习的热情。针对这些局限性,我们假设将信息技术,特别是矢量分析算法,融入终身教育系统,可以彻底改变学习体验(LE)。通过利用互联网和先进算法的力量,新的终身教育系统有望提供优越的在线学习环境、丰富的资源和智能数据分析能力,从而促进更有效的终身学习。该方法涉及在终身教育框架内开发和实施基于矢量分析算法的信息时代服务。本研究旨在为学习者提供更多获取优质在线学习资源的途径,同时提供智能数据分析以优化学习途径。随着互联网技术的不断发展,信息技术已被应用到各个领域。基于向量分析算法(VAAs)的信息时代服务(IAS)将与 LLES 相结合。最大限度地利用技术为终身学习者提供优质的在线学习环境、在线学习资源和智能数据分析,帮助学习者更好地进行终身学习。新型 LLES 与传统方法的对比实验结果表明,新型 LLES 有了显著的改进。新系统提高了 31.8%的教材匹配度,提供了更宽广、更便捷的学习路径,并提供了更丰富的教学资源。此外,使用新系统的学习者的平均学习效率提高了 7%。将基于 VAAs 的综合学习系统融入终身教育是一项重大进步。这种创新方法提供了优质的教学资源、教育方法和学习机会,使个人能够在数字时代更有效地接受和坚持终身学习。
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来源期刊
Computer Applications in Engineering Education
Computer Applications in Engineering Education 工程技术-工程:综合
CiteScore
7.20
自引率
10.30%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.
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