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Integration of Artificial Intelligence in Islamic Education: Trends, Methods, and Challenges in the Digital Era Salim, M Agus; Aditya, Riska Bayu
Journal of Modern Islamic Studies and Civilization Том 3 № 01 (2025): Journal of Modern Islamic Studies and Civilization
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jmisc.v3i01.1368

Abstract

This study employs a qualitative descriptive approach with a literature review method to analyze the application of Artificial Intelligence (AI) in Islamic education. Data were collected from 26 scholarly articles obtained through a systematic search in the SINTA database (1–6) and international journals (Q1–Q4), using keywords related to AI in Islamic education. Articles were selected based on their relevance to the research topic. Data analysis was conducted using descriptive analysis to identify AI usage trends and content analysis to evaluate key topics and challenges. The findings reveal a significant increase in AI usage since 2018, with descriptive analysis being the most commonly applied method. Key topics include AI integration in Qur'an and Hadith learning, the development of AI-based educational media, and the digitalization of Islamic manuscripts. Major challenges involve technological infrastructure limitations, ethical considerations, cultural sensitivities, and technological disparities between urban and rural areas.
Exploring Research Trends on Google Classroom: An Analysis from Methodologies to Result-Based Recommendations Salim, M Agus; Rajabiyah, Nurlaila
Jurnal Citizenship Virtues Vol. 5 No. 1 (2025): Penguatan Nilai-Nilai Demokrasi, Kewarganegaraan, dan Kearifan Lokal dalam Era
Publisher : LPPM STKIP Kusuma Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37640/jcv.v5i1.2288

Abstract

This study explores research trends related to Google Classroom as a digital learning platform, focusing on the analysis of methodologies, research subjects, effectiveness, and resulting recommendations. Using a descriptive meta-analysis approach, this study reviewed 42 articles from Scopus Q1-Q4 indexed journals obtained via Elicit.com. The findings reveal a significant increase in Google Classroom usage during the COVID-19 pandemic, with a dominance of quantitative methodologies (47.6%) emphasizing effectiveness and learning outcomes. University students emerged as the dominant subjects, reflecting the platform’s popularity in higher education. Additionally, Google Classroom has proven effective in supporting independent learning, collaboration, and student engagement. Key recommendations include intensive training, the development of interactive features, and enhanced technological infrastructure to ensure the platform's sustainability and relevance in the future. This study concludes that Google Classroom is a flexible and adaptive learning tool, yet it requires more comprehensive implementation strategies to maximize its potential in digital education.
Exploring the Role of Emotional Intelligence and Self-Confidence in Supporting Islamic Religious Education Learning Outcomes Salim, M Agus; Rajabiyah, Nurlaila; Misrodin, Misrodin
Jurnal Pendidikan Agama Islam Indonesia (JPAII) Vol. 6 No. 1 (2025): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jpaii.v6i1.1431

Abstract

Purpose of the study: This study aims to investigate the effect of emotional intelligence (EI) and self-confidence on students' academic achievement in Islamic religious education, as well as evaluate the interaction between the two variables and provide strategic recommendations for educators to improve student learning outcomes. Methodology: The method used in this research is quantitative with ex post facto design. The research sample consisted of 35 students of the Early Childhood Education Teacher Education (PG-PAUD) Study Program at STKIP Kumala Lampung. Data were collected through questionnaires measuring emotional intelligence (EI), self-confidence (SC), and student learning outcomes, and data were analyzed using ANOVA and paired-samples t-test. Main Findings: The results showed a significant relationship between emotional intelligence (EI) and self-confidence (SC) on student learning outcomes. Students who have high levels of emotional intelligence and self-confidence tend to achieve better learning outcomes, with the average learning outcome reaching 78.90, compared to students who have low levels of emotional intelligence and self-confidence which only reach 66.95. This finding confirms the importance of emotional intelligence and self-confidence development in the context of Islamic religious education. Novelty/Originality of this study: The uniqueness of this study lies in its focus on the influence of emotional intelligence (EI) and self-confidence (SC) in the context of Islamic religious education, which is still less explored in the literature. This research provides new insights that are useful for improving teaching strategies, supporting student development, as well as enriching existing knowledge in the field of Islamic religious education.
AI ChatGPT Based Islamic Religious Education to Enhance Students’ Critical Thinking and Moral Reasoning Salim, M Agus; Habibi, Fajri
ISLAMIKA Vol 7 No 4 (2025): OKTOBER
Publisher : Pendidikan Agama Islam STIT Palapa Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36088/islamika.v7i4.5915

Abstract

Higher education increasingly leverages artificial intelligence (AI) to foster higher-order cognitive skills; however, in Indonesia, students of Islamic Religious Education (PAI) often depend on rote memorization, limiting the growth of critical thinking and moral reasoning. This study aimed to determine the effectiveness of a ChatGPT-based PAI learning model in enhancing students’ dual thinking abilities. A mixed-methods quasi-experimental design was implemented with 32 undergraduate students assigned equally to experimental and control groups; instruments comprised a critical thinking test, a moral reasoning test contextualized with Islamic dilemmas, and a transcript analysis guide, all expert-validated. Quantitative results showed notable post-test gains in the experimental group for critical thinking (M = 78.6, SD = 7.8) and moral reasoning (M = 76.8, SD = 7.9), while qualitative analysis indicated that 56.3% of students reached advanced critical thinking levels and 68.8% demonstrated advanced moral reasoning. The findings indicate that integrating ChatGPT enhances both cognitive and affective learning outcomes in PAI. The study concludes that a ChatGPT-based model is effective for strengthening critical thinking and moral reasoning, and contributes empirical evidence on generative AI in Islamic education; practically, it underscores ChatGPT’s utility as a dialogic partner when guided by lecturers. The implications include scaling to larger samples and longer interventions and exploring adaptive prompting strategies across diverse educational contexts.