Skip to content
Open access

Analysis of PAI Students' Readiness for the Integration of Artificial Intelligence in Learning at Ahmad Dahlan University

Aug 2026 · EDUSOSHUM Journal of Islamic Education and Social Humanities · 0 citations · 21 references

TL;DR

It is concluded that PAI students are generally prepared to integrate AI into learning, provided that digital competencies, ethical awareness, and Islamic values are continuously strengthened to ensure the responsible and meaningful use of AI in Islamic education.

Abstract

The rapid advancement of the digital era has accelerated the integration of Artificial Intelligence (AI) into higher education, including the learning process in the Islamic Religious Education (PAI) Study Program at Universitas Ahmad Dahlan. AI offers significant opportunities to improve learning effectiveness, yet its successful implementation depends on students' readiness to use it responsibly and effectively. This study aims to analyze the readiness of PAI students for the integration of AI in learning by examining their understanding, perceptions, and ability to utilize AI as an academic support tool. An explanatory sequential approach was employed, with data collected through classroom observations, in-depth interviews with PAI students, and documentation of AI-assisted learning activities. The findings indicate that most PAI students have positive perceptions and are receptive to the use of AI, particularly for conducting literature searches, completing academic assignments, and enhancing conceptual understanding. However, their readiness has not yet reached an optimal level due to limited digital literacy, insufficient understanding of academic ethics, and concerns about excessive dependence on AI. The study concludes that PAI students are generally prepared to integrate AI into learning, provided that digital competencies, ethical awareness, and Islamic values are continuously strengthened to ensure the responsible and meaningful use of AI in Islamic education.

Read PDF

Similar papers

Open access Aug 2026

Artificial Intelligence and Its Impact on the Learning Experiences of Islamic Primary Teacher Education Students

The rapid advancement of Artificial Intelligence (AI) has significantly changed the practice of learning in higher education. Previous research has focused on the academic benefits and challenges of AI. This research aims to explore the experience of students of the Madrasah Ibtidaiyah STAI Al-Hikmah Medan Teacher Educ...

Efira Andiyani Batubara, Novria Grahmayanuri, Sri Wahyuni et al. · 0 citations
Open access Sep 2026

Exploring Student Perspectives on the Use of Artificial Intelligence Tools in Higher Education

It is suggested that AI technologies have considerable potential to enrich higher education; however, their successful implementation requires careful attention to ethical, technological, and pedagogical considerations to ensure that educational benefits are achieved while minimizing associated risks.

H. U. C. P. Hewawasam, D. Saparamadu · 0 citations
Review Open access Sep 2026

Artificial Intelligence in Higher Education: Investigating Students’ Perceptions of Its Use in Teaching and Learning

The rapid development of the concept of artificial intelligence (AI) has increasingly encouraged its integration into higher education. Choices regarding the adoption of AI should consider also the perspectives of students, as primary beneficiaries of academic training. This study reports the findings of a survey based...

V. Zichil, Venera-Mihaela Cojocariu, Cristina Cîrtiță-Buzoianu · 0 citations
Open access Sep 2026

University EFL Students’ Perceptions of Artificial Intelligence in Higher Education Learning Environments

The findings reveal that EFL students demonstrate high familiarity with AI applications, especially for language learning, doing tasks, and perceive AI as a supportive learning assistant that enhances efficiency, autonomy, and confidence.

Suratman Dahlan, A. Usman, Awaludin Rizal et al. · 1 citation
Open access Sep 2026

Artificial intelligence integration and learner achievement in competence-based education in higher education institutions in Uganda

It is concluded that effective AI integration in CBE requires AI literacy training, lecturer capacity building, institutional policy frameworks, and competency-oriented assessment approaches to enhance learner achievement while preserving the integrity of competency development.

Vicent Mabirizi, Florence Kirabo Nampijja, Calorine Katushabe et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.