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All Journal AL QUDS : Jurnal Studi Alquran dan Hadis Al-Muyassar: Journal of Arabic Education JPLED
Alwizar
Universitas Islam Negeri Sultan Syarif Kasim Riau
Religion Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Enhancing the Quality of Arabic Language Learning through Microlearning Platforms: A Quantitative Analysis Afriza; Alwizar; Aria Lada Br Bancin; Halomoan
Al-Muyassar: Journal of Arabic Education Vol 5 No 1 (2026): Al-Muyassar: Journal of Arabic Education
Publisher : Prodi Pendidikan Bahasa Arab, Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/al-muyassar.v5i1.16027

Abstract

The development of digital technology has significantly transformed learning practices, including language education. One emerging approach in digital learning is microlearning, which emphasizes short, focused, and easily accessible learning content. This study aims to analyze the utilization of microlearning platforms in improving the quality of Arabic language learning in Madrasah and to examine the factors influencing its effectiveness. The research employed a quantitative approach with a descriptive method. The participants consisted of 37 Arabic language teachers from various Madrasah in Riau Province, selected through a random sampling technique. Data were collected using a 25-item Likert-scale questionnaire and analyzed using descriptive statistical techniques to identify trends in microlearning usage and learning quality. The results show that the utilization of microlearning platforms falls into the very high category, with an average score of 51.70 out of 60 (86.17%). Similarly, the quality of Arabic language learning supported by microlearning is categorized as very high, with an average score of 55.32 out of 65 (92.2%). Compared to conventional approaches, which tend to be longer and less flexible, microlearning offers advantages through concise, accessible, and student-centered learning experiences. Furthermore, its effectiveness is influenced by factors such as student engagement and the availability of digital infrastructure. These findings indicate that microlearning contributes positively to enhancing learning effectiveness. Therefore, integrating microlearning can serve as an innovative strategy to improve Arabic language learning quality in the digital era.
Principles of Education According to the Al-Qur'an Umar Dalimunthe; Kadar; Alwizar
Journal of Practice Learning and Educational Development Vol. 6 No. 1 (2026): Journal of Practice Learning and Educational Development (JPLED)
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i1.549

Abstract

This article examines the principles of education from the perspective of the Qur'an as the main foundation in forming knowledgeable, moral, and responsible human beings. Education in Islam includes not only intellectual aspects, but also spiritual and moral aspects, as reflected in key terms such as al-tarbiyah, al-ta'lim, al-ta'dib, al-tadris, and al-tazkiyah. Each of these terms describes a comprehensive and holistic approach to education. In addition, this article explains various principles of education based on the Qur'an, including: the principle of divinity, the obligation to learn and teach, lifelong education, integration and balance, respect for individual differences, openness and professionalism, and the importance of research and planning. All of these principles aim to create an education system that not only develops knowledge, but also fosters character and brings humans closer to Allah SWT.
Maqtaf: Artificial Intelligence (AI)-Based Qur’an and Interactive Interpretation Analysis Engine to Improve Literacy of Ummah in the Digital Era Afrizal Nur; Nanda Riswanda Pohan; Alwizar
AL QUDS : Jurnal Studi Alquran dan Hadis Vol. 10 No. 1 (2026)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/alquds.v10i1.16518

Abstract

The low literacy of the Qur’an in the digital era is not solely due to limited access to sacred texts, but mainly to the absence of interactive, adaptive, and contextual interpretation learning platforms. This study conducted a conceptual design analysis and epistemological framework of MAQTAF (Qur’an Analysis and Interactive Interpretation Engine), an artificial intelligence (AI)-based innovation designed to strengthen the ummah’s understanding of the Qur’an. Using a qualitative approach based on literature reviews, this study does not develop or test functional prototypes. Still, it rather systematically describes the design architecture, the operational mechanisms of AI (including natural language processing with retrieval-augmented generation and adaptive learning through collaborative filtering), and the integration of the maqāṣid al-syarī'ah classifier as an ethical filter. The findings of the study present three novelties: (1) the simultaneous combination of verse/interpretation analysis, interactive adaptive learning, and thematic multimedia content, an integration that is not found on existing linear platforms; (2) The operationalization of maqāṣid as a supervised learning-based classifier that evaluates the output of tafsir into five dimensions ḥifẓ al-dīn, al-nafs, al-'aql, al-nasl, al-māl; and (3) the formulation of AI as an epistemological support tool rather than a substitute for scientific authority through a three-layer validation mechanism (data sources, algorithms, and scholarly supervision). As a conceptual design study, MAQTAF offers an ex ante framework that requires future empirical validation through design-based research and expert assessment. Thus, this research contributes to strengthening digital Islamic literacy and encourages a deeper understanding of the Qur’an, which is ethically responsible and relevant to the context of modern society.
Co-Authors Afriza Afrizal Nur Aria Lada Br Bancin Halomoan Kadar Nanda Riswanda Pohan Umar Dalimunthe