Vocational Education Development Model Based on Intelligent Management System

Ni, Li; Huang, Qiang; Ye, Jingyi; Hu, Bin; Zhang, Ni; Xiang-qian, Chang; Su, Zhihao

doi:10.1109/iceit54416.2022.9690746

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Secondly, it is to establish a relatively complete employment management system for college graduates to improve the work efficiency of employment-related work. Finally, on the basis of the full application of the graduate employment management information system, the efficiency, timeliness, and scientificity of employment information management in colleges and universities can be effectively improved, and the management level of managers can be improved at the same time [7,8]. If the accuracy of the result is equal to or greater than the preset threshold, it means that the decision tree model has passed the test and can be used as a tool to complete the analysis of actual data.…”

Section: Introductionmentioning

confidence: 99%

Design and Application of College Student Management System Based on Big Data Technology

2023

Wireless Communications and Mobile Computing

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In order to effectively manage the employment information of colleges and universities and improve the employment ratio of college graduates, the employment information management system of colleges and universities under the big data environment is designed. The graduate management platform in the system is used for graduates to edit personal information, understand employment-related information, and check recruitment information. The enterprise information management platform is used for enterprises to edit their own materials and publish recruitment information, so as to find graduates meeting the job requirements. The personalized recommendation platform uses the recommendation method based on users’ historical information to achieve offline employment recommendation and uses the recommendation method based on real-time user behavior data to achieve online real-time employment recommendation and improve the employment ratio. The employment information tracking management platform is responsible for recording graduates’ employment information and verifying the authenticity of recruitment information. The experimental results show that the system has a fast response time and low resource occupancy rate when the number of concurrent users is different. The employment rate of college graduates is effectively increased.

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Section: Introductionmentioning

confidence: 99%

Design and Application of College Student Management System Based on Big Data Technology

2023

Wireless Communications and Mobile Computing

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“…Este modelo implica la reducción de la brecha entre los resultados de la educación superior y los requerimientos de la empresa al producir estudiantes que aprenden durante toda la vida. Además, también se ha aplicado IA para que junto con los conocimientos que se tienen y las motivaciones se pueda ajustar mejor la orientación laboral para ese mejor ajuste alumno-empresa (Ni et al, 2022).…”

Section: Resultado Sobre El Contenido De Las Publicacionesunclassified

Inteligencia artificial aplicada a la educación y la evaluación educativa en la Universidad: introducción de sistemas de tutorización inteligentes, sistemas de reconocimiento y otras tendencias futuras.

Hernández León,

Rodríguez-Conde

2024

Red

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The introduction of artificial intelligence (AI) has marked the beginning of the fourth industrial revolution and the genesis of a paradigm shift in the teaching-learning process. AI has been applied to the planning and design of teaching, student assessment and tutoring, and curricular content, integrating it into the creation of smart campuses and computational laboratories. This article, conducts a systematic review of the existing literature in Scopus, analyzing the application of AI in education and the assessment of learning outcomes at the university, in the last decade. The method was based on the recommendations given by García-Peñalvo, F. J. (2022) for conducting robust theoretical reviews. The results have highlighted the following advances: the introduction of intelligent tutoring systems, recognition systems to identify students in online training, security systems in the designs of smart campuses, the personalization of education, and some future trends, such as virtual and augmented reality combined with AI. It is worth noting the importance given to ethical issues related to the use of AI in the assessment of university students. La introducción de la inteligencia artificial (IA) ha supuesto el comienzo de la cuarta revolución industrial y la génesis de un cambio de paradigma en proceso enseñanza-aprendizaje. La IA se ha aplicado en la planificación y diseño de la enseñanza, en la evaluación y tutorización del estudiante, en el contenido curricular, integrándola en la creación de campus inteligentes y laboratorios computacionales. En este artículo se realiza un análisis sistemático de la literatura existente en Scopus analizando la aplicación de la IA en la educación y la evaluación de resultados de aprendizaje en la Universidad, en la última década. El método ha estado basado en las recomendaciones dadas por García-Peñalvo, F. J. en su artículo de 2022 (García-Peñalvo, 2022) para realizar revisiones teóricas robustas. Los resultados han destacado los siguientes avances: la introducción de sistemas de tutorización inteligentes, sistemas de reconocimiento para identificar al discente en formación online, sistemas de seguridad en los diseños del campus inteligente, la personalización de la educación y algunas tendencias futuras, como la realidad virtual y aumentada combinada con IA. Es de destacar la importancia que se le concede a las cuestiones éticas relacionadas con el uso de la IA en la evaluación del estudiante universitario.

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“…Some of this strategy's benefits are improved communication between ETMIS staff and users, the growth of the ETMIS' collaborative culture, and improvement of the ETMIS's ability to adapt to changing conditions. Moreover, a deeper knowledge of how the various components of ETMIS interact to produce the desired results and improve the user experience will be put into practice (Wei et al, 2013;Abdul-Hamid et al, 2017;Bogatenkov et al, 2020;Ni, 2022).…”

Section: Methodsmentioning

confidence: 99%

“…They can also be used for other purposes, such as consumer education or compliance training. As seen in Figure 1, ETMISes ought to have various features connected to a course management system (CMS) for posting courses online directly (Cuiling et al, 2021), from ETMISes and a learning management system (LMS) to provide eLearning courses whenever needed (Bogatenkov et al, 2020), and an EMIS for providing a significant amount of support in the initiatives taken to evaluate the effectiveness of the educational system and closely monitor the fair allocation of resources (Li et al, 2022;Ni, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

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Etmis

Alotaibi¹

2022

International Journal of Web-Based Learning and Teaching Technologies

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Although there are many education information management systems (EMISs) that currently apply administrative development, they contain limited powers, thus leading to the emergence of problems—the most important and damaging of which being the loss of data quality and ensuring how to verify the validity the education and training information management systems (ETMIS) have all emerged within the world to solve these problems, and considering these systems are widely deployed within Arabian, regional educational, and training institutions, each system has both advantages and disadvantages. This study proposed a unique approach for the ETMIS utilizing an open platform with the goal of supporting management, planning, and dissemination of the education and training systems for all in order to support decision-making and is concerned with improving capacity and centralisation and reliability of information.

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Vocational Education Development Model Based on Intelligent Management System

Cited by 5 publications

References 12 publications

Design and Application of College Student Management System Based on Big Data Technology

Design and Application of College Student Management System Based on Big Data Technology

Inteligencia artificial aplicada a la educación y la evaluación educativa en la Universidad: introducción de sistemas de tutorización inteligentes, sistemas de reconocimiento y otras tendencias futuras.

Etmis

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