Analysis of Generation Z Filipinos' Perception of AI Using Multiple Regression

Artificial Intelligence (AI) technologies, such as robots, computer vision, natural language processing, machine learning, and more, have the potential to completely transform education by offering automated grading, intelligent mentoring, individualized learning, and more. Despite its benefits, the integration of artificial intelligence (AI) in Philippine education is challenged with significant obstacles such as cultural taboos, limits in digital infrastructure, and expensive internet expenses. The Unified Theory of Acceptance and Use of Technology (UTAUT 2) was utilized in this study to determine the factors that have significant effects on generation Z's perceived behavioral intention to use text generative artificial intelligence in the Philippines. Ethical consideration was also added to assess how they affect perceived risk and attitude on how they perceive their behavioral intention. Multiple regression was done for the data analysis with the use of Minitab. It was determined that the factors Effort Expectancy (EE), Performance Expectancy (PE), Facilitating Conditions (FC), Hedonic Motivation (HM), Habit (HB), Ethical Considerations (EC), Perceived Risk (PR), Attitude (ATT), Region, and Gender all significantly affect how Generation Z utilizes text-generative artificial intelligence. These findings serve as a better understanding of how these factors influence the PBI of students in utilizing text generative artificial intelligence. Keywords Text Generative Artificial Intelligence, Education, Generation Z, Unified Theory of Acceptance and Use of Technology and Multiple Regression.