DETERMINASI NIAT PENGGUNAAN CHATGPT DALAM PEMBELAJARAN PADA SISWA SMK: PENDEKATAN INTEGRATIF TECHNOLOGY ACCEPTANCE MODEL – USES AND GRATIFICATIONS THEORY

DETERMINANTS OF VOCATIONAL HIGH SCHOOL STUDENTS’ INTENTION TO USE CHATGPT IN LEARNING: INTEGRATING THE TECHNOLOGY ACCEPTANCE MODEL AND USES AND GRATIFICATIONS THEORY

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi niat penggunaan ChatGPT sebagai alat bantu belajar pada siswa SMK dengan pendekatan integratif TAM dan UGT. Variabel yang diteliti meliputi Perceived Ease of Use, Perceived Usefulness, Convenience, dan Information Seeking terhadap Intention to Use. Penelitian ini menggunakan metode kuantitatif dengan pendekatan explanatory research. Sampel penelitian adalah siswa kelas XI jurusan Manajemen Perkantoran yang dianalisis menggunakan Structural Equation Modeling–Generalized Structured Component Analysis (SEM-GSCA). Hasil penelitian menunjukkan bahwa Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness, namun tidak berpengaruh langsung terhadap Intention to Use. Sementara itu, Perceived Usefulness dan Information Seeking berpengaruh signifikan terhadap Intention to Use, sedangkan Convenience tidak berpengaruh signifikan. Temuan ini menunjukkan bahwa niat siswa menggunakan ChatGPT lebih dipengaruhi oleh manfaat nyata dan kebutuhan pencarian informasi dibandingkan kemudahan dan kenyamanan penggunaan.

The development of artificial intelligence has influenced learning practices, particularly through the use of ChatGPT as a learning support tool. This study aims to examine the factors influencing students’ intention to use ChatGPT in learning by integrating the TAM and UGT. The variables analyzed include Perceived Ease of Use, Perceived Usefulness, Convenience, and Information Seeking toward Intention to Use. This study employed a quantitative explanatory approach with respondents consisting of Grade XI students of the Office Management major at a vocational high school. Data were collected using a Likert-scale questionnaire and analyzed using Structural Equation Modeling–Generalized Structured Component Analysis (SEM-GSCA). The results indicate that Perceived Ease of Use significantly influences Perceived Usefulness but does not directly affect Intention to Use. Furthermore, Perceived Usefulness and Information Seeking have a significant effect on Intention to Use, while Convenience shows no significant influence. These findings suggest that students’ intention to use ChatGPT is driven more by perceived benefits and information needs than by ease or convenience of use.