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Our study addresses the research gap in factors influencing teachers’ Artificial Intelligence and the Internet of Things (AIoT) technology integration quality (AIoT-TIQ). Applying the Capability, Opportunity, Motivation, and Behavior (COM-B) model and Interactive, Constructive, Active, and Passive (ICAP) framework, we contextualized AIoT-TPACK as capability, AIoT-perceived support for barriers as opportunity, and self-efficacy, utility, enjoyment, and habit as motivation. Surveying 930 Grade 1-9 teachers, we found opportunity directly and indirectly (via motivation) enhances AIoT-TIQ, while capability influences it only indirectly through motivation. These results validate the COM-B model and ICAP framework in AIoT educational contexts and offer new insights for teacher professional development regarding technology integration mechanisms.
Shuo Feng, Shanghai Jiao Tong University
Xin Gao, Shanghai Jiao Tong University
Qianqian Liu, Laoshan District Education Development Research Center, Qingdao
Zezhi Zhang, Digital Education Research Center of Laoshan District Education and Sports Bureau, Qingdao
Mingjie Li, Shibei District Education Research and Development Center, Qingdao
Qiyu Zhang, Shandong Normal University
Yingbin Zhang, South China Normal University
Shuai Wang, Shanghai Jiao Tong University