PENERIMAAN TEKNOLOGI GENERATIVE AI DAN PENGARUHNYA TERHADAP TINGKAH LAKU PENGGUNAAN DALAM KALANGAN SISWA GURU INSTITUT PENDIDIKAN GURU [THE ACCEPTANCE OF GENERATIVE AI TECHNOLOGY AND ITS INFLUENCE ON USAGE BEHAVIOUR AMONG STUDENT TEACHERS AT INSTITUT PENDIDIKAN GURU]
Abstract
Abstrak: Kajian ini bertujuan ini untuk meneliti tahap penerimaan teknologi generative AI berdasarkan faktor-faktor peramal dalam model UTAUT 2 serta pengaruhnya terhadap tingkah laku untuk menggunakan teknologi tersebut dalam kalangan siswa guru. Kajian kuantitatif ini dilaksanakan melalui kaedah tinjauan terhadap 46 responden dari kalangan siswa guru jurusan Pengajian Melayu di Institut Pendidikan Guru (IPG) Kampus Raja Melewar. Instrumen soal selidik menggunakan skala likert 5 mata dan data dianalisis menggunakan Analisis Regresi Berganda bagi menjawab persoalan kajian dan hipotesis. Hasil dapatan kajian menunjukkan bahawa penerimaan siswa guru IPG terhadap teknologi generative AI berada pada tahap tinggi. Berdasarkan hipotesis, faktor peramal Jangkaan Prestasi dan Tabiat telah ditolak dan lima faktor peramal yang lain telah diterima oleh kerana tidak mempunyai pengaruh yang signifikan terhadap tingkah laku untuk menggunakan teknologi generative AI. Implikasi kajian ini menekankan keperluan kajian akan datang berkaitan peningkatan kompetensi siswa guru dan program pendidikan guru terhadap penggunaan teknologi generative AI untuk pembangunan bahan bantu pengajaran dalam proses PdPC.
Abstract: This study aims to examine the level of acceptance of generative AI technology based on predictive factors in the UTAUT 2 model and its influence on the behavioural intention to use the technology among pre-service teachers. This quantitative study was conducted through a survey method involving 46 respondents from the Malay Studies program at the Institute of Teacher Education (IPG) Kampus Raja Melewar. The questionnaire instrument employed a 5-point Likert scale, and the data were analysed using Multiple Regression Analysis to address the research questions and hypotheses. The findings revealed that pre-service teachers at IPG demonstrated a high level of acceptance towards generative AI technology. Based on the hypotheses, the predictive factors of Performance Expectancy and Habit were rejected, while the other five predictive factors were accepted as they did not show a significant influence on the behavioural intention to use generative AI technology. The implications of this study highlight the need for future research on enhancing pre-service teacher competencies and teacher education programs in relation to the use of generative AI technology for the development of teaching aids in the teaching and learning process.
