Factors influencing AI adoption by Chinese mathematics teachers in STEM education.

Journal: Scientific reports
Published Date: Jul 1, 2025

Abstract

This study refines the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) to explore the factors influencing the adoption and utilization of artificial intelligence (AI) by Chinese mathematics teachers in STEM education, aiming to promote broader integration of AI within this domain. Utilising structural equation modelling (SEM) on survey data collected from 503 in-service mathematics teachers across China, the findings indicate that performance expectancy (PE), hedonic motivation (HM), and price value (PV) significantly affect teachers' behavioural intention (BI). Moreover, the study finds that effort expectancy (EE), facilitating conditions (FC), and price value (PV) significantly influence teachers' actual usage behaviour (UB). Notably, price value emerges as a crucial factor influencing both BI and UB, underscoring the importance teachers place on balancing the benefits of AI teaching tools with the time investment required for their adoption.

Authors

  • Wen Du
    Technology Center, China Tobacco Hunan Industrial Co., Ltd., Changsha 410014, China.
  • Yiming Cao
  • Muwen Tang
    College of Elementary Education, Hainan Normal University, Hainan, China.
  • Fang Wang
    Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China.
  • Guofeng Wang
    Department of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.

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