DEVELOPING AN ASSESSMENT TOOLKIT TO EVALUATE PRE-SERVICE TEACHERS’ ARTIFICIAL INTELLIGENCE ACCEPTANCE BASED ON THE TECHNOLOGY ACCEPTANCE MODEL (TAM)

DOI: 10.18173/2354-1075.2025-0133

Abstract

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.