DEVELOPING AN ASSESSMENT TOOLKIT TO EVALUATE PRE-SERVICE TEACHERS’ ARTIFICIAL INTELLIGENCE ACCEPTANCE BASED ON THE TECHNOLOGY ACCEPTANCE MODEL (TAM)
DOI:
https://doi.org/10.18173/2354-1075.2025-0133Keywords:
Artificial Intelligence, Technology Acceptance Model, pre-service teachers, scale development, teacher educationAbstract
This study aims to develop a measurement scale assessing AI acceptance among pre-service teachers, grounded in the Technology Acceptance Model (TAM) – an informative systems theory that explains how users accept and use a certain technology, and extended with a foundational component: conceptual understanding of AI. The proposed instrument comprises five components: Conceptual Understanding (CON), Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward AI (ATT), and Behavioral Intention to Use AI (BIU). The research employs an in-depth literature review method aimed at systematizing theoretical and practical concepts related to the Technology Acceptance Model (TAM) and the application of AI in education. A total of 50 items are developed through literature review. The study contributes to the expansion of the TAM framework in educational contexts and offers a measurement instrument applicable to teacher training programs and future research on AI integration in education.
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