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title: Strategies for Improving Quality Management of Talent Cultivation Through Artificial Intelligence in Private Universities in GuangXi
created: 2024-07-08T02:43:19+00:00
modified: 2024-07-12T02:33:47+00:00
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alternative: กลยุทธ์การพัฒนาการบริหารจัดการคุณภาพเพื่อเสริมสร้างความสามารถพิเศษโดยผ่านปัญญาประดิษฐ์ในมหาวิทยาลัยเอกชนในมณฑลกวางสี
creator: Chen Ya
subject: Artificial intelligence (AI)
subject: Quality management
subject: talent cultivation Private universities
subject: Educational Administration
description: The objectives of this research were: 1) To study the level of quality management of talent cultivation through artificial intelligence in private universities in Guangxi; 2) To study strategies for improving the quality management of talent cultivation through artificial intelligence in private universities in Guangxi; 3) To evaluate the strategies of improving quality management of talent cultivation through artificial intelligence in private universities in Guangxi. The sample were 621 teachers and full-time students from 3 private universities, The research tools include: 1) questionnaire survey, 2) structured interviews, 3) feasible strategy evaluation. Research data analysis includes percentage, average, standard deviation and content analysis. The research results show that: The level of quality management of talent cultivation through artificial intelligence in private universities in Guangxi in overall is at medium level. For improving the quality management of talent cultivation through artificial intelligence in private universities in Guangxi, The strategies contain four aspects: 1) quality objective strategies for talent cultivation, 2) quality assurance strategies for talent cultivation,3) quality improvement strategies for talent cultivation. The feasibility evaluation results of the strategies are at high level. Keywords: Artificial intelligence (AI), Quality management of talent cultivation, Private universities.
publisher: Bansomdejchaopraya Rajabhat University. Office of Academic Resources and Information Technology
contributor: Sarayuth Sethakhajorn
contributor: Niran Sutheeniran
contributor: Jittawisut Wimuttipanya
date: 2022
created: 2024-07-08
modified: 2024-07-08
issued: 2024-07-08
type: thesis
format: application/pdf
source: TH 378.04 Y11S 2022
language: eng
identifier: https://opacb.bsru.ac.th/cgi-bin/koha/opac-detail.pl
rights: Bansomdejchaopraya Rajabhat University
degree: Degree of Doctor of Philosophy
degree: Doctoral Degree
degree: Educational Administration
degree: Bansomdejchaopraya Rajabhat University

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