cover
Contact Name
Yunita Dwi Pristiani
Contact Email
jurnalpinus@unpkdr.ac.id
Phone
+6285731097264
Journal Mail Official
jurnalpinus@unpkdr.ac.id
Editorial Address
Universitas Nusantara PGRI Kediri, JL. KH. Ahmad Dahlan No. 76 Mojoroto - Kediri - East Java - Indonesia 64112
Location
Kota kediri,
Jawa timur
INDONESIA
PINUS: Jurnal Penelitian Inovasi Pembelajaran
ISSN : 26212390     EISSN : 24429163     DOI : -
Core Subject : Education,
Journal Pinus is a peer review journal published by Research institutions and community service, The University of Nusantara PGRI Kediri. The aim of the Journal is to facilitate scientific publication of the results of researches in Indonesia and participate to boost the quality and quantity of research for academics and researchers. Electronic journal, containing the results of research teachers and lecturers in the field of learning innovation.
Arjuna Subject : -
Articles 191 Documents
SELF-EFFICACY AND PRE-SERVICE TEACHERS BEHAVIORAL INTENTION TO USE GENERATIVE AI FOR LEARNING: A PLS-SEM APPROACH Muhammad Abdullah; Jusriadi Jusriadi
PINUS: Jurnal Penelitian Inovasi Pembelajaran Vol 11 No 2 (2026): Volume 11 Nomor 2 Tahun 2026
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/pn.v11i2.29181

Abstract

The development of generative artificial intelligence in higher education requires pre-service teachers to have self-efficacy, perceived ease of use, perceived usefulness, and positive attitudes to use it responsibly for learning. This study aims to analyze the effects of self-efficacy, perceived ease of use, perceived usefulness, and attitude toward using on behavioral intention to use generative AI for learning. This study employed a quantitative approach with an explanatory survey design. The respondents were 149 pre-service teachers at Sekolah Tinggi Keguruan dan Ilmu Pendidikan Muhammadiyah Kalabahi, Alor Regency, East Nusa Tenggara. Data were collected using a Likert-scale questionnaire and analyzed using partial least squares structural equation modelling. The results showed that self-efficacy positively influenced behavioral intention to use. Perceived ease of use positively influenced perceived usefulness and attitude toward using. Perceived usefulness and attitude toward using positively influenced behavioral intention to use. Perceived ease of use also indirectly influenced behavioral intention to use through attitude toward using and perceived usefulness. The R-square value of behavioral intention to use was 0.748, indicating that the model had strong explanatory power. These findings confirm that pre-service teachers’ intention to use generative AI is shaped by self-efficacy, perceived ease of use, perceived usefulness, and positive attitudes toward technology