{"title":"Construction of a new lifelong education system based on vector analysis algorithms for information age services","authors":"Yongfang Zhang, Hui Ye, Haijun Chen","doi":"10.1002/cae.22774","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50643,"journal":{"name":"Computer Applications in Engineering Education","volume":"32 6","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Applications in Engineering Education","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cae.22774","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
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.