This study explores the use of an enhanced Support Vector Machine (SVM) algorithm to address challenges faced by students with lower academic performance in college English education, particularly in integrating ideological and political education. It develops a dynamic early warning system to provide timely support, employing targeted English courses and practical teaching methods. Methodologically, an improved SVM algorithm constructs a robust early warning model, enhancing monitoring and support in college English courses. The system's application contributes to advancements in machine learning and AI, emphasizing data-driven decision-making in education. Future research could explore scalability, long-term impacts, and further refinements to the SVM algorithm. In summary, the study successfully applies machine learning techniques to devise an innovative dynamic early warning system for English ideological and political education in college, offering valuable insights for practitioners and researchers alike in the realm of AI-assisted pedagogy.
{"title":"Enhanced SVM Algorithm-Based Dynamic Early Warning System for College English Ideological and Political Course Education Using Machine Learning","authors":"Aiqin Pan","doi":"10.4018/jcit.348657","DOIUrl":"https://doi.org/10.4018/jcit.348657","url":null,"abstract":"This study explores the use of an enhanced Support Vector Machine (SVM) algorithm to address challenges faced by students with lower academic performance in college English education, particularly in integrating ideological and political education. It develops a dynamic early warning system to provide timely support, employing targeted English courses and practical teaching methods. Methodologically, an improved SVM algorithm constructs a robust early warning model, enhancing monitoring and support in college English courses. The system's application contributes to advancements in machine learning and AI, emphasizing data-driven decision-making in education. Future research could explore scalability, long-term impacts, and further refinements to the SVM algorithm. In summary, the study successfully applies machine learning techniques to devise an innovative dynamic early warning system for English ideological and political education in college, offering valuable insights for practitioners and researchers alike in the realm of AI-assisted pedagogy.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The traditional entrepreneurial resource decision-making model that relies on empirical decision-making or simple template matching is difficult to adapt to the current complex social environment. Therefore, the multi-objective grey wolf algorithm (MOGWO) is used to solve the Pareto frontier of the problem model, replacing the optimal solution with the optimal solution set, and then selecting the optimal scheduling plan according to the actual situation, so as to make the decision-making plan more scientific and reasonable. In order to optimize this algorithm, two improvement strategies are proposed on the basis of analysing the movement of individual grey wolves. The research in this paper provides an important reference for the machine learning algorithm and the improved multi-objective grey wolf algorithm. The experimental results show that the MOGWO algorithm can overcome the shortcomings of the basic grey wolf algorithm (GWO) in terms of insufficient exploratory ability and local convergence, and has higher search efficiency, better optimality finding ability and stability.
{"title":"Optimization Method of College Students' Entrepreneurial Path Based on Improved Multi-Objective Gray Wolf Algorithm","authors":"Baorong Qiu","doi":"10.4018/jcit.349738","DOIUrl":"https://doi.org/10.4018/jcit.349738","url":null,"abstract":"The traditional entrepreneurial resource decision-making model that relies on empirical decision-making or simple template matching is difficult to adapt to the current complex social environment. Therefore, the multi-objective grey wolf algorithm (MOGWO) is used to solve the Pareto frontier of the problem model, replacing the optimal solution with the optimal solution set, and then selecting the optimal scheduling plan according to the actual situation, so as to make the decision-making plan more scientific and reasonable. In order to optimize this algorithm, two improvement strategies are proposed on the basis of analysing the movement of individual grey wolves. The research in this paper provides an important reference for the machine learning algorithm and the improved multi-objective grey wolf algorithm. The experimental results show that the MOGWO algorithm can overcome the shortcomings of the basic grey wolf algorithm (GWO) in terms of insufficient exploratory ability and local convergence, and has higher search efficiency, better optimality finding ability and stability.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Library resource library management based on modern information technology and reconfigurable mobile information systems have attracted much attention from researchers of academia. This paper introduces the LSTM model into the field of Chinese library resource management, and tries to propose a classification system with practical application value. The main research work:The Chinese library resource is designed LSTM model, and three experiments are designed on this basis: the coarse-grained book single classification experiment, different measures on the classification results; the fine-grained book single classification experiment, to compare The advantages and disadvantages of direct classification and layer-by-layer classification; coarse-grained book multi-classification experiments to explore the feasibility of multi-classification. After analyzing the experimental results, the model has achieved a good classification effect, and overcomes some deficiencies in the library resource library predecessors, and has a strong practical application value.
{"title":"Research on Library Resource Management Based on Modern Information Technology and Reconfigurable Mobile Information System","authors":"Fengbin Zhang","doi":"10.4018/jcit.349134","DOIUrl":"https://doi.org/10.4018/jcit.349134","url":null,"abstract":"Library resource library management based on modern information technology and reconfigurable mobile information systems have attracted much attention from researchers of academia. This paper introduces the LSTM model into the field of Chinese library resource management, and tries to propose a classification system with practical application value. The main research work:The Chinese library resource is designed LSTM model, and three experiments are designed on this basis: the coarse-grained book single classification experiment, different measures on the classification results; the fine-grained book single classification experiment, to compare The advantages and disadvantages of direct classification and layer-by-layer classification; coarse-grained book multi-classification experiments to explore the feasibility of multi-classification. After analyzing the experimental results, the model has achieved a good classification effect, and overcomes some deficiencies in the library resource library predecessors, and has a strong practical application value.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141809795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
How to use big data technology to promote the integration and complementarity of English online education and offline education has become an urgent problem in the field of higher education. This paper mainly studies the integration and complementary strategies of online and offline English education in higher vocational colleges based on big data technology. This paper first analyzes the current situation of English teaching in higher vocational colleges, then discusses the application of big data technology in online English education in higher vocational colleges and puts forward relevant strategies of integration and complementarity. Finally, it expounds the important role of big data technology in promoting the integration and complementarity of online and offline English education in higher vocational colleges. In the future, we can further strengthen the application depth and breadth of big data technology in higher education, so as to promote the reform and development of English teaching in higher vocational colleges and improve the teaching quality.
{"title":"Online and Offline Integration Scheme of College English Education Under Big Data Technology","authors":"Xiaoli Wang","doi":"10.4018/jcit.348963","DOIUrl":"https://doi.org/10.4018/jcit.348963","url":null,"abstract":"How to use big data technology to promote the integration and complementarity of English online education and offline education has become an urgent problem in the field of higher education. This paper mainly studies the integration and complementary strategies of online and offline English education in higher vocational colleges based on big data technology. This paper first analyzes the current situation of English teaching in higher vocational colleges, then discusses the application of big data technology in online English education in higher vocational colleges and puts forward relevant strategies of integration and complementarity. Finally, it expounds the important role of big data technology in promoting the integration and complementarity of online and offline English education in higher vocational colleges. In the future, we can further strengthen the application depth and breadth of big data technology in higher education, so as to promote the reform and development of English teaching in higher vocational colleges and improve the teaching quality.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The need to improve corporate environmental performance has emerged as a crucial and urgent study topic as the world's pollution and climate challenges get worse. This trend has taken on new meaning and importance in light of the expanding digital economy and digital transformation. Using financial and associated data from 2009 to 2021 as the sample, this research empirically studies the link between digital transformation, green innovation, and environmental performance with a focus on China's A-share listed enterprises. According to the study's findings, digital transformation may improve a company's environmental performance by strengthening its capacity for green innovation. Furthermore, heterogeneity analysis shows that the effect of digital transformation in enhancing environmental performance is more prominent in high-tech enterprises, non-heavy polluting companies, and organizations with a greater percentage of party members in senior management.
随着全球污染和气候挑战日益严峻，提高企业环境绩效的需求已成为一个关键而紧迫的研究课题。在数字经济和数字转型不断扩大的背景下，这一趋势具有了新的意义和重要性。本研究以 2009 年至 2021 年的财务数据和相关数据为样本，以中国 A 股上市企业为研究对象，实证研究了数字化转型、绿色创新和环境绩效之间的联系。研究结果表明，数字化转型可以通过增强企业的绿色创新能力来提高企业的环境绩效。此外，异质性分析表明，数字化转型在提升环境绩效方面的效果在高科技企业、非重污染企业以及高级管理层中党员比例较高的组织中更为突出。
{"title":"Enterprise Digital Transformation and Environmental Performance","authors":"Ao Sun","doi":"10.4018/jcit.347665","DOIUrl":"https://doi.org/10.4018/jcit.347665","url":null,"abstract":"The need to improve corporate environmental performance has emerged as a crucial and urgent study topic as the world's pollution and climate challenges get worse. This trend has taken on new meaning and importance in light of the expanding digital economy and digital transformation. Using financial and associated data from 2009 to 2021 as the sample, this research empirically studies the link between digital transformation, green innovation, and environmental performance with a focus on China's A-share listed enterprises. According to the study's findings, digital transformation may improve a company's environmental performance by strengthening its capacity for green innovation. Furthermore, heterogeneity analysis shows that the effect of digital transformation in enhancing environmental performance is more prominent in high-tech enterprises, non-heavy polluting companies, and organizations with a greater percentage of party members in senior management.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While some research has been conducted to identify the strengths and weaknesses of Small Private Open Courses (SPOCs), a significant research gap exists in comprehensively examining the opportunities and threats they face. To determine if SPOCs are beneficial to learners, the authors adopted the PRISMA protocol to filter literature for SWOT analysis in SPOCs. The authors identified and analyzed the strengths, weaknesses, opportunities and threats faced by SPOCs using a SWOT analysis method. The strengths of SPOCs include high-quality content and course delivery, accessibility, and personalization. Weaknesses involve lack of social interaction, limited resources, credentialing issues. Their opportunities consist of market growth, collaboration with other institutions, and access to new student markets. Their threats include competition from traditional courses, technology updates, and student privacy concerns.
{"title":"A SWOT Analysis of Small Private Online Courses","authors":"Anqi Dou, Wei Xu, Ziqing Liu, Zhonggen Yu","doi":"10.4018/jcit.347378","DOIUrl":"https://doi.org/10.4018/jcit.347378","url":null,"abstract":"While some research has been conducted to identify the strengths and weaknesses of Small Private Open Courses (SPOCs), a significant research gap exists in comprehensively examining the opportunities and threats they face. To determine if SPOCs are beneficial to learners, the authors adopted the PRISMA protocol to filter literature for SWOT analysis in SPOCs. The authors identified and analyzed the strengths, weaknesses, opportunities and threats faced by SPOCs using a SWOT analysis method. The strengths of SPOCs include high-quality content and course delivery, accessibility, and personalization. Weaknesses involve lack of social interaction, limited resources, credentialing issues. Their opportunities consist of market growth, collaboration with other institutions, and access to new student markets. Their threats include competition from traditional courses, technology updates, and student privacy concerns.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Exploring how to utilize images to enrich music teaching content and provide a more visually impactful learning experience is an important topic. Therefore, this paper introduces a convolutional neural network-based algorithm for extracting audio features to construct a music visualization model. By identifying features such as note pitches, it enhances pitch recognition and integrates with CNN algorithms for audio information visualization. Experimental results demonstrate an accuracy rate exceeding 97%, showcasing the significant advantage of this method in visualizing audio information in music multimedia classrooms. It provides technical support for bringing a new visual experience to music education.
{"title":"Practical Application and Case Analysis of Computer Image Vision Technology in Music Education and Teaching","authors":"Donglin Li","doi":"10.4018/jcit.347916","DOIUrl":"https://doi.org/10.4018/jcit.347916","url":null,"abstract":"Exploring how to utilize images to enrich music teaching content and provide a more visually impactful learning experience is an important topic. Therefore, this paper introduces a convolutional neural network-based algorithm for extracting audio features to construct a music visualization model. By identifying features such as note pitches, it enhances pitch recognition and integrates with CNN algorithms for audio information visualization. Experimental results demonstrate an accuracy rate exceeding 97%, showcasing the significant advantage of this method in visualizing audio information in music multimedia classrooms. It provides technical support for bringing a new visual experience to music education.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the increasing of computing and network technology, there has been a rise in children's educational and entertainment software. However, these software applications depend on mouse and keyboard input, which may be tedious and challenging for children. Moreover, these applications fail to capture the interaction between users and computers. This study proposes design principles for children's human-computer interaction based on children's cognitive, psychological, and physiological attributes, and outlines a framework accordingly. The framework integrates natural human-computer interaction technologies, such as physical operation interface, gesture interaction, low-level semantics-based human-computer interaction, and high-level semantics-based human-computer interaction, with the aim of facilitating seamless and intuitive interaction between children and computers. Finally, the results demonstrating the feasibility and effectiveness of the proposed human-computer interaction technology as a child-centered virtual reality application tool.
{"title":"Multimedia Human-Computer Interaction Technology in Preschool Education","authors":"Hang Yao","doi":"10.4018/jcit.347219","DOIUrl":"https://doi.org/10.4018/jcit.347219","url":null,"abstract":"With the increasing of computing and network technology, there has been a rise in children's educational and entertainment software. However, these software applications depend on mouse and keyboard input, which may be tedious and challenging for children. Moreover, these applications fail to capture the interaction between users and computers. This study proposes design principles for children's human-computer interaction based on children's cognitive, psychological, and physiological attributes, and outlines a framework accordingly. The framework integrates natural human-computer interaction technologies, such as physical operation interface, gesture interaction, low-level semantics-based human-computer interaction, and high-level semantics-based human-computer interaction, with the aim of facilitating seamless and intuitive interaction between children and computers. Finally, the results demonstrating the feasibility and effectiveness of the proposed human-computer interaction technology as a child-centered virtual reality application tool.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on big data mining and learning analysis technology, this paper systematically summarizes the theoretical basis of network-based college students' English writing skills training mode and discusses the reform and application of college English writing teaching. By mining network data, establishing corresponding writing training database and writing corpus, and at the same time strengthening writing teaching methods with the help of existing network corpus. Students learn through reading, imitation and innovation in the course, and receive psychological and motivation training. The research shows how data mining ability can test the data production ability of front-line authors, and test the ability of front-line teachers to cultivate students' autonomous learning and self-adaptation. It is emphasized that this teaching mode updates the knowledge structure of front-line teachers and cultivates new teachers who combine knowledge with technology. By providing innovative methods to optimize the teaching process, it is expected to effectively improve students' writing ability.
{"title":"Research and Application of University English Writing Teaching Reform Based on Data Mining","authors":"Huasu Li, Jingjing Li","doi":"10.4018/jcit.347667","DOIUrl":"https://doi.org/10.4018/jcit.347667","url":null,"abstract":"Based on big data mining and learning analysis technology, this paper systematically summarizes the theoretical basis of network-based college students' English writing skills training mode and discusses the reform and application of college English writing teaching. By mining network data, establishing corresponding writing training database and writing corpus, and at the same time strengthening writing teaching methods with the help of existing network corpus. Students learn through reading, imitation and innovation in the course, and receive psychological and motivation training. The research shows how data mining ability can test the data production ability of front-line authors, and test the ability of front-line teachers to cultivate students' autonomous learning and self-adaptation. It is emphasized that this teaching mode updates the knowledge structure of front-line teachers and cultivates new teachers who combine knowledge with technology. By providing innovative methods to optimize the teaching process, it is expected to effectively improve students' writing ability.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sang Vu, Yucong Duan, Uyen Pham, Mengmeng Song, Zhen Guo, Yingtian Mei, Hien D. Nguyen
Traditional economic theory revolves around information asymmetry, where some possess more knowledge than others. However, the digital age is upending this paradigm. This research proposes a groundbreaking shift: a transition from an Asymmetric Information Economy to a Symmetric Knowledge and Wisdom Economy, fueled by the ubiquitous availability of data and digital communication. The shifting is worked through DIKWP-12 Chains framework (Data-Information-Knowledge-Wisdom-Purpose), which serves as a key pillar supporting this paradigm shift. It integrates Data, Information, Knowledge, Wisdom, and Purpose into a unified semantic processing approach. This novel approach empowers us to navigate this transformative era. Furthermore, this study goes beyond theory by leveraging the DIKWP chains to construct an Intelligent Consultant System for Real Estate Investment. This system analyzes customer behavior data and captures the wisdom behind their purchasing decisions, offering a unique and data-driven approach to real estate investment consulting.
{"title":"The Role of DIKWP Assets in Shaping Economic Systems and Implications for an Intelligent Consultant System in Real Estate Investment","authors":"Sang Vu, Yucong Duan, Uyen Pham, Mengmeng Song, Zhen Guo, Yingtian Mei, Hien D. Nguyen","doi":"10.4018/jcit.348968","DOIUrl":"https://doi.org/10.4018/jcit.348968","url":null,"abstract":"Traditional economic theory revolves around information asymmetry, where some possess more knowledge than others. However, the digital age is upending this paradigm. This research proposes a groundbreaking shift: a transition from an Asymmetric Information Economy to a Symmetric Knowledge and Wisdom Economy, fueled by the ubiquitous availability of data and digital communication. The shifting is worked through DIKWP-12 Chains framework (Data-Information-Knowledge-Wisdom-Purpose), which serves as a key pillar supporting this paradigm shift. It integrates Data, Information, Knowledge, Wisdom, and Purpose into a unified semantic processing approach. This novel approach empowers us to navigate this transformative era. Furthermore, this study goes beyond theory by leveraging the DIKWP chains to construct an Intelligent Consultant System for Real Estate Investment. This system analyzes customer behavior data and captures the wisdom behind their purchasing decisions, offering a unique and data-driven approach to real estate investment consulting.","PeriodicalId":43384,"journal":{"name":"Journal of Cases on Information Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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