ERIC Number: EJ1462539
Record Type: Journal
Publication Date: 2025-Feb
Pages: 33
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
EISSN: EISSN-1556-6501
Available Date: 2024-09-11
A Multi-Level Factors Model Affecting Teachers' Behavioral Intention in AI-Enabled Education Ecosystem
Di Wu1; Xinyan Zhang2; Kaili Wang3; Longkai Wu4; Wei Yang5
Educational Technology Research and Development, v73 n1 p135-167 2025
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 teachers from 189 primary and secondary schools from a western province of China. The results indicated that school-level dimensional elements, directly or indirectly, influenced teachers' behavioral intention to use AI, mediated by teacher-level dimensional elements. The findings are relevant to school administrators and policy makers, who should consider the key influences on teachers' behavioral intentions to use AI and promote the effective application of AI science for educational change.
Descriptors: Teacher Behavior, Intention, Technology Uses in Education, Educational Technology, Technology Integration, Artificial Intelligence, Ecology, Elementary School Teachers, Secondary School Teachers, Foreign Countries, Educational Change
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A
Author Affiliations: 1Central China Normal University, Educational Informatization Strategy Research Base of Ministry of Education, Wuhan, P.R. China; 2Central China Normal University, Faculty of Artificial Intelligence in Education, Wuhan, P.R. China; 3Central China Normal University, Research Center for Science and Technology Promoting Educational Innovation and Development, Strategic Research Base of the Ministry of Education, Wuhan, P.R. China; 4Central China Normal University, National Experimental Base for Intelligent Social Governance of Major Education, Wuhan, P.R. China; 5Central China Normal University, National Engineering Research Center for e-Learning, Wuhan, P.R. China