Augmenting College Students' Experience in Reading Philippine Literature Using Generative AI: A Quantitative Analysis of Attitudes and Intentions
Year: 2026
Type: conference-paper
Study design: Observational Study
Abstract: The integration of artificial intelligence (AI) into tertiary literary undertaking prompts critical inquiry into how students adopt generative tools within the humanities and literature courses. This study investigates the attitudes and behavioral intentions of 120 Multimedia Arts students in a Philippine Literature course at Mapua Malayan Colleges Laguna regarding the use of AI to analyze Dead Stars by Paz Marquez-Benítez. Grounded in the Technology Acceptance Model (TAM), the research evaluates structural relationships among AI Knowledge, Perceived Usefulness, Perceived Ease of Use, Attitude, and Intention to Use AI. Covariance-based Structural Equation Modeling reveals that while AI Knowledge significantly predicts Perceived Usefulness and Ease of Use, these instrumental beliefs do not considerably influence Attitude. Consequently, Attitude fails to predict Intention to Use AI. This belief-behavior gap indicates that AI literacy does not directly translate into usage intention in humanities education-ethical considerations, disciplinary identity, and interpretive authenticity moderate adoption, extending TAM within literary pedagogy.
Institutions: Malayan Colleges Laguna, Mapúa University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7202280002