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A Study of the Use of Multimedia in AI Industry in Terms of its Impact on In-Service Education and Work Attitude as Well as Work Performance.
- Source :
- International Journal of Emerging Technologies in Learning; 2023, Vol. 18 Issue 19, p103-113, 11p
- Publication Year :
- 2023
-
Abstract
- To meet the increasing demand for talent with the expansion of domestic artificial intelligence industries in foreign markets, many artificial intelligence industries are training high quality employees. In this respect, the present study aims to investigate the effectiveness of using multimedia in the artificial intelligence industry in-service education programs. The participants of the study were composed of artificial intelligence industry supervisors and employees in China. The study focused on a sample comprised of AI industry supervisors and employees in China. Data were collected over a period spanning from the 1st of January 2022 to the 1st of June 2022. A total of 500 questionnaires were distributed, and 423 valid copies were retrieved, yielding a retrieval rate of 85%. According to the results of the study, it can be stated that artificial intelligence industries can benefit the research results through in-service education and learning and development. Moreover, the results of the current study can help promote work performance of employees to produce the necessary soft power that determines success in the future, and to improve business dilemma and enhance competitiveness of artificial intelligence industries. The results of the study revealed that the use of multimedia in artificial intelligence industry increase the self-confidence of employees, they feel respected, noticed, and supported by superiors, and have a good and pleasant interactive relationship with colleagues. As a result, their work attitudes are positively influenced. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18630383
- Volume :
- 18
- Issue :
- 19
- Database :
- Supplemental Index
- Journal :
- International Journal of Emerging Technologies in Learning
- Publication Type :
- Academic Journal
- Accession number :
- 172785353
- Full Text :
- https://doi.org/10.3991/ijet.v18i19.43921