Improving ESP Writing Class Learning Outcomes Among Medical University Undergraduates: How Do Emotions Impact?

Hu, Nan; Chen, Min

doi:10.3389/fpsyg.2022.909590

Cited by 4 publications

(4 citation statements)

References 42 publications

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“…AHP is a multi-level weight decision-making method proposed by Professor Saaty, an American operational research scientist, in the 1970s. The basic idea is to form a hierarchical structure of the relevant elements of the decision-making problem according to the dominant coefficient, objectively quantify the subjective judgment of experts with a certain scale, construct a judgment matrix, and calculate the weight coefficient of each index on this basis (Chan et la., 2019;Meng et al, 2022;Hu & Chen, 2022). The specific steps of AHP to determine the subjective weight of indexes are as follows.…”

Section: Ahpmentioning

confidence: 99%

The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance

Gao

Wang

et al. 2023

Journal of Organizational and End User Computing

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The purpose is to further analyze the influence of AI technology on the psychology of employees in the computer industry and truly solve the problems encountered in enterprise management, such as difficult organizational relationship and lack of staff morale. With artificial intelligence algorithm as the research object, AI-based employee psychology and performance analysis model is built based on artificial neural network (ANN) from four aspects of work performance, psychological empowerment, work engagement, and perceived dynamic work environment. MATLAB tool is used, employee psychological empowerment index is taken as an input variable, and employee performance index is taken as output index. The validity of the models proposed in different studies is further verified through different test methods. The results show that artificial intelligence technology can positively affect employees' performance by improving their psychological empowerment, and the improvement of work performance is directly related to psychological empowerment.

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Section: Ahpmentioning

confidence: 99%

The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance

Gao

Wang

et al. 2023

Journal of Organizational and End User Computing

View full text Add to dashboard Cite

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“…Cloud computing improves the scalability and reliability of the system. (2) Based on the discussion and analysis of existing cases of using big data technology and methodology to carry out communication activities, this study discusses how to use tools in the big data environment, extract information from data, make image communication activities accurate, reduce the cost, and improve the efficiency of city image communication [ 34 , 35 ].…”

Section: Discussionmentioning

confidence: 99%

The Dissemination Strategy of an Urban Smart Medical Tourism Image by Big Data Analysis Technology

Zhao

Wang

Garcı́a-Campayo

et al. 2022

IJERPH

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The advanced level of medical care is closely related to the development and popularity of a city, and it will also drive the development of tourism. The smart urban medical system based on big data analysis technology can greatly facilitate people’s lives and increase the flow of people in the city, which is of great significance to the city’s tourism image dissemination and branding. The medical system, with eight layers of architecture including access, medical cloud service governance, the medical cloud service resource, the platform’s public service, the platform’s runtime service, infrastructure, and the overall security and monitoring system of the platform, is designed based on big data analysis technology. Chengdu city is taken as an example based on big data analysis technology to position the dissemination of an urban tourism image. Quantitative analysis and questionnaire methods are used to study the effect of urban smart medical system measurement and tourism image communication positioning based on big data analysis technology. The results show that the smart medical cloud service platform of the urban smart medical system, as a public information service system, supports users in obtaining medical services through various terminal devices without geographical restrictions. The smart medical cloud realizes service aggregation and data sharing compared to the traditional isolated medical service system. Cloud computing has been used as the technical basis, making the scalability and reliability of the system have unprecedented improvements. This paper discusses how to effectively absorb, understand, and use tools in the big data environment, extract information from data, find effective information, make image communication activities accurate, reduce the cost, and improve the efficiency of city image communication. The research shows that big data analysis technology improves patients’ medical experience, improves medical efficiency, and alleviates urban medical resource allocation to a certain extent. This technology improves people’s satisfaction with the dissemination of urban tourism images, makes urban tourism image dissemination activities accurate, reduces the cost of urban tourism image dissemination, and improves the efficiency of urban tourism image dissemination. The combination of the two can provide a reference for developing urban smart medical care and disseminating a tourism image.

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“…Employees' job satisfaction, pressure, and performance were analyzed based on psychological empowerment. The main innovation lies in combining deep learning, AI technology, and psychological empowerment, and in establishing a work situation evaluation model (Chen & Du, 2022;Deng et al, 2021;Hu & Chen, 2022) . Based on psychology, employees' work conditions were analyzed and their satisfaction was improved.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Improving Employee Psychological Empowerment and Job Performance Based on Deep Learning and Artificial Intelligence

Fan

Zhao

Zhang

et al. 2023

Journal of Organizational and End User Computing

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In order to improve the management mode of the human resources system and enhance the work efficiency of employees, this paper uses artificial intelligence (AI) technology to enhance the psychological empowerment of employees. It affects employees' work performance from a psychological perspective with the help of psychological empowerment. The questionnaire survey method collects data on the influencing factors of employees' psychological empowerment. The statistical data are analyzed by regression. Back propagation neural network (BPNN) algorithm based on deep learning is used to establish the work condition evaluation model. The job satisfaction, pressure, and performance of employees based on psychological empowerment are analyzed.

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Improving ESP Writing Class Learning Outcomes Among Medical University Undergraduates: How Do Emotions Impact?

Cited by 4 publications

References 42 publications

The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance

The Use of the Analytic Hierarchy Process in Improving Psychological Empowerment and Employee Performance

The Dissemination Strategy of an Urban Smart Medical Tourism Image by Big Data Analysis Technology

The Impact of Improving Employee Psychological Empowerment and Job Performance Based on Deep Learning and Artificial Intelligence

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