{"title":"揭秘学校领导职业可持续发展：信任在人工智能和人工智能协作中的作用","authors":"Masoumeh Kouhsari, Junjun Chen","doi":"10.1111/jcal.70135","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>The increasing integration of artificial intelligence (AI) in education has highlighted the need for research on its role in fostering career sustainability among school leaders. Existing knowledge lacks a comprehensive understanding of how trust in AI relates to school leaders' performance and well-being amidst rapid technological changes. This study addresses this gap.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This research aims to explore the relationship between trust in AI, AI collaboration and career sustainability among school leaders.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A sample of 553 school leaders from China participated in the study. Utilising multigroup structural equation modelling, the research analysed the associations among trust in AI, task performance, creative performance and well-being, with the mediating role of AI collaboration across different career stages.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusions</h3>\n \n <p>Findings suggest that trust in AI is positively related to task performance and well-being, particularly among novice and mid-career leaders. AI collaboration mediated the relationship between trust in AI and career sustainability across all career stages, highlighting the importance of fostering collaboration with AI in the educational setting in China to support school leaders' career sustainability.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 6","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demystifying School Leader Career Sustainability: The Role of Trust in Artificial Intelligence and Artificial Intelligence Collaboration\",\"authors\":\"Masoumeh Kouhsari, Junjun Chen\",\"doi\":\"10.1111/jcal.70135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>The increasing integration of artificial intelligence (AI) in education has highlighted the need for research on its role in fostering career sustainability among school leaders. Existing knowledge lacks a comprehensive understanding of how trust in AI relates to school leaders' performance and well-being amidst rapid technological changes. This study addresses this gap.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>This research aims to explore the relationship between trust in AI, AI collaboration and career sustainability among school leaders.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A sample of 553 school leaders from China participated in the study. Utilising multigroup structural equation modelling, the research analysed the associations among trust in AI, task performance, creative performance and well-being, with the mediating role of AI collaboration across different career stages.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results and Conclusions</h3>\\n \\n <p>Findings suggest that trust in AI is positively related to task performance and well-being, particularly among novice and mid-career leaders. AI collaboration mediated the relationship between trust in AI and career sustainability across all career stages, highlighting the importance of fostering collaboration with AI in the educational setting in China to support school leaders' career sustainability.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48071,\"journal\":{\"name\":\"Journal of Computer Assisted Learning\",\"volume\":\"41 6\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Assisted Learning\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70135\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.70135","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Demystifying School Leader Career Sustainability: The Role of Trust in Artificial Intelligence and Artificial Intelligence Collaboration
Background
The increasing integration of artificial intelligence (AI) in education has highlighted the need for research on its role in fostering career sustainability among school leaders. Existing knowledge lacks a comprehensive understanding of how trust in AI relates to school leaders' performance and well-being amidst rapid technological changes. This study addresses this gap.
Objectives
This research aims to explore the relationship between trust in AI, AI collaboration and career sustainability among school leaders.
Methods
A sample of 553 school leaders from China participated in the study. Utilising multigroup structural equation modelling, the research analysed the associations among trust in AI, task performance, creative performance and well-being, with the mediating role of AI collaboration across different career stages.
Results and Conclusions
Findings suggest that trust in AI is positively related to task performance and well-being, particularly among novice and mid-career leaders. AI collaboration mediated the relationship between trust in AI and career sustainability across all career stages, highlighting the importance of fostering collaboration with AI in the educational setting in China to support school leaders' career sustainability.
期刊介绍：
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
