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A multi-level factors model affecting teachers' behavioral intention in AI-enabled education ecosystem

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成果类型：

期刊论文

作者：

Wu, Di;Zhang, Xinyan;Wang, Kaili;Wu, Longkai;Yang, Wei

通讯作者：

Yang, W

作者机构：

[Wu, Di] Cent China Normal Univ, Educ Informatizat Strategy Res Base, Minist Educ, Wuhan, Hubei, Peoples R China.

[Zhang, Xinyan] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Hubei, Peoples R China.

[Wang, Kaili] Cent China Normal Univ, Res Ctr Sci & Technol Promoting Educ Innovat & Dev, Strateg Res Base, Minist Educ, Wuhan, Peoples R China.

[Wu, Longkai] Cent China Normal Univ, Natl Expt Base Intelligent Social Governance Major, Wuhan, Peoples R China.

[Yang, Wei] Cent China Normal Univ, Natl Engn Res Ctr ELearning, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

通讯机构：

[Yang, W ] C

Cent China Normal Univ, Natl Engn Res Ctr ELearning, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.

语种：

英文

关键词：

Artificial intelligence (AI);Multi-level factors model;Behavioral intention;Teachers;AI-enabled education ecosystem (AI-e3)

期刊：

ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT

ISSN：

1042-1629

年：

2024

页码：

1-33

DOI：

10.1007/s11423-024-10419-0

基金类别：

National Social Science Fund of China project "Research on evaluation strategy of high-quality balanced ICT development of compulsory education in urban and rural areas" [BCA210090]

机构署名：

本校为第一且通讯机构

院系归属：

国家数字化学习工程技术研究中心

摘要：

Artificial Intelligence (AI) is driving ecological shifts and systemic reforms in education. As practitioners of educational reform, teachers' behavioral intention to experience and accept the effectiveness of AI technologies will affect the quality of educational change. From an educational ecology perspective, this study explores the impact of core elements within three dimensions-technologies, pedagogies, and cultures-on teachers' behavioral intention to use AI in an AI-enabled educational ecosystem (AI-e3) environment. The study uses a multi-level mediation model to analyze data of 4349 te...

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