Enhancing education quality: Exploring teachers' attitudes and intentions towards intelligent MR devices

Abstract This research paper focuses on the adoption of multi‐perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM (Technology Acceptance Model) model. The variable of insecurity is considered to address the concerns regarding information security in the use of artificial intelligence in education. The study identifies that innovation and relative advantage significantly and positively influence teachers' attitudes towards using intelligent MR devices. PeoU (perceived ease of use), however, does not have a significant impact on attitudes, suggesting that teachers prioritize the benefits of enhancing teaching quality over the complexity of the devices. PU (perceived usefulness) emerges as a key variable for teachers' adoption of intelligent MR devices, prompting the need for attention from designers and manufacturers. Regression analysis reveals that gender does not influence the use of new technology, while teachers with more teaching experience and those working in remote areas express greater receptiveness towards utilizing new technology. The paper recognizes the potential of intelligent teaching devices to address educational challenges and promote equity in remote areas by providing auxiliary tools for teachers to improve teaching efficiency and quality. Teacher training and technical support are emphasized as crucial factors for effective use of artificial intelligence teaching devices.