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All Journal Al-Kautsar: Knowledge Advancemenets in Teaching Strategies and Research Muaddib: Journal of Islamic Teaching and Learning
Najah Baroud
University of Zawia, Libya
Decision Sciences, Operations Research & Management Education

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Opportunities and Challenges for Islamic Education Teachers in Using Artificial Intelligence in Learning Najah Baroud; Yoni Ardila; Fauzi Akmal; Rifdah Sabrina
Muaddib: Journal of Islamic Teaching and Learning Vol. 1 No. 2 (2025): July
Publisher : Muaddib: Journal of Islamic Teaching and Learning

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Abstract

The phenomenon of using Artificial Intelligence in education has become common. Not only in terms of work, Artificial Intelligence can also be used in the world of Islamic Education. This shows that Artificial Intelligence can also help Islamic Education teachers in learning. This research aims to analysis the challenges and opportunities for Islamic Education teachers in using Artificial Intelligence in learning. The method used in the research is a qualitative method with data sources taken through interviews with forty informants consisting of Islamic Education teachers from elementary to high school level. The results of data analysis found that Artificial Intelligence is proven to provide opportunities and convenience for Islamic Education teachers in the learning process although there are also some challenges. Among the opportunities for Islamic education teachers in using Artificial Intelligence in learning are i) making it easier for teachers to access learning, ii) saving costs, iii) creating interesting and innovative learning media. However, the challenges in using Artificial Intelligence are i) unstable networks, ii) lack of teacher training in the use of artificial intelligence, iii) information obtained is less accurate, iv) lack of teacher privacy. This research can be used as a reading for Islamic religious education teachers in preparing themselves to become creative and professional teachers.
Curriculum–Industry Alignment in Applied Chemistry: A CIPP Mixed-Methods Evaluation at the University of Zawia Najah Baroud
Al Kautsar: Knowledge Advancements in Teaching Strategies and Research Vol. 4 No. 2 (2026): Al-Kautsar: Knowledge Advancements in Teacing Strategies and Research, May 2026
Publisher : PT. Berkah Smart Academica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64093/al-kautsar.v4i2.885

Abstract

This study evaluated the alignment between the Applied Chemistry curriculum at the University of Zawia and the technical competency requirements of the Zawia Oil Refinery (ZOR) in Libya. Alignment evaluation is urgently needed because of the widening gap between traditional academic outcomes and the rapid digitalization of high-tech refinery operations. The research adopted an evaluative approach using an exploratory sequential mixed-methods design guided by Stufflebeam's CIPP model. Qualitative interview findings were used to develop quantitative questionnaire items to ensure methodological rigor. Participants included 15 faculty members and 10 senior technical experts from ZOR, selected through purposive sampling. Data collection occurred between 2024 and 2025 to reflect current industrial conditions. Quantitative analysis showed a moderate overall alignment (M=3.01, SD=0.71, 60.2%). The lowest scores were recorded in Process Simulation (M=2.41) and Digital Literacy (M=2.36), indicating that graduates lack critical proficiency in LIMS and simulation software like Aspen HYSYS required for modern refinery work. The study identifies structural weaknesses in laboratory modernization and internship quality. The most urgent recommendation is the establishment of an Industrial Advisory Board to facilitate the integration of industry-standard digital tools and practical training modules.
Co-Authors Fauzi Akmal Rifdah Sabrina Yoni Ardila