THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PRIMARY TEACHERS’ ATTITUDE IN TEACHING THE FAMILY AND FRIENDS NATIONAL EDITION TEXTBOOK SERIES

Abstract

This study investigates the impact of applying Artificial Intelligence (AI) on primary school teachers' attitudes during the teaching of the Family and Friends National Edition textbook series. Data were collected from 88 primary school teachers through a five-point Likert-scalequestionnaire, with independent variables including Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Facilitating Conditions (FC), AI Use Index (AI_USE_INDEX) and the dependent variable ATTITUDE_OVERALL was structured according to three components: Affective, Behavioral, and Cognitive (ABC). The results of linear regression analysis showed that the model had an Adjusted R² = 0.647, reflecting the significant explanatory power of the independent variables on overall attitudes. In which, AI_USE_INDEX was the factor with the strongest influence (β = 0.807, p < .001), followed by PU and PEOU. The results show that the actual use experience and perceived usefulness of AI play a central role in shaping teachers' positive attitudes. The study contributes to expanding the theoretical basis for applying the Technology Acceptance Mode (TAM) model combined with the ABC Model in the context of primary education in Vietnam.