Artificial Intelligence Acceptance in Science Teaching: A Path Analysis Using the UTAUT Model

The study aimed to examine the acceptance of artificial intelligence (AI) in science teaching using Unified Theory of Acceptance and Use of Technology (UTAUT) model.This study used a quantitative, non-experimental survey design and involved 345 secondary teacher who were teaching science across Sabah.The structural model elucidated that independent variablenamely, perfomance expectancy, effort expectancy, social influences, facilities conditionexerted a statistically significant and positive influence on intention to use AI in science teaching.The results indicated that facilities condition is the dominant predictive factor.Collectively, this model effectively accounted for 78.9% of the variance in the intention of science teachers in Sabah to adopt AI.The study offers insights to enhance AI acceptance among science teachers in Sabah, fostering innovation in education.