Muhammad Abdullah
Sekolah Tinggi Keguruan dan Ilmu Pendidikan Muhammadiyah Kalabahi

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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
Integration of Local Wisdom in Digital Learning: A Literature Review Jusriadi Jusriadi; Muhammad Abdullah; Istiqamah Istiqamah; Muthiah Prasong
Jurnal Edukasi Terkini Vol. 2 No. 2 (2025): April-June
Publisher : Borneo Novelty Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70310/jet.2025.020206125

Abstract

Purpose-This literature review aims to explore the integration of local wisdom into digital learning to enhance educational relevance and effectiveness. Research Methodology/Design/Approach-Using bibliometric analysis with VOSviewer, the study maps key research themes, connections, and trends within this emerging field. The approach focuses on analyzing patterns in keywords related to students, teachers, digital tools, and learning models informed by local cultural knowledge. Finding-Findings reveal that integrating local wisdom enriches digital learning by fostering culturally responsive pedagogy that supports student identity and character development. Innovative media such as digital comics are highlighted as effective tools in this context. Originality / Value-The review also identifies growing research interest, particularly from Indonesia, emphasizing the importance of adaptive, data-driven learning models based on local contexts. The study provides valuable insights for educators and policymakers seeking to develop inclusive and relevant digital learning frameworks grounded in local knowledge.