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All Journal Jurnal Pendidikan Islam Syaikhuna: Jurnal Pendidikan dan Pranata Islam STAI Syaichona Moh. Cholil Bangkalan
M Isroul Laili
Sekolah Tinggi Agama Islam Al Yasini Pasuruan
Religion Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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استخدام طريقة التكرار في تنمية حفظ القرآن (دراسة الحالة في معهد دار اللغة والدعوة بانقيل باسوروان) Umar; M. Isroul Laili; Masnun
Jurnal Pendidikan Islam Vol 11 No 1 (2021)
Publisher : Research Department (Lemlit) Islamic Institute of Darullughah Wadda’wah Bangil, Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38073/jpi.v11i1.573

Abstract

مستخلص البحث هذا البحث مدفوع بالمشاكل من الحفاظ الذين يشعرون بالصعبة في زيادة الحفظ. احيانا هم يستطيعون لزيادة الحفظ واحيانا يفقدون حفظهم. ولذلك،حضرت طريقة التكرار لتحسين الحفظ وزيادته. إضافة إلى ذلك، طريقة التكرار يمكن أن يقوي القلوب. بناء على المشاكل المذكورة يهدف هذا البحث لوصفية طريقة حفظ القرآن الكريم باستخدام طريقة التكرار. اساليب جمع البيانات المستخدمة في هذا البحث هي المقابلة والملاحظة والتوثيق. اساليب تحليل البيانات المستخدمة هي استقرائية واستنتاجية. أما نتائج البحث هي أن طريقة التكرار فعال لتنمية حفظ القرآن الكريم في معهد دار اللغة والدعوة، بانقيل، باسوروان. العوامل الداعمة هي توفر البنية التحتية الملائمة، القرارات من مدير المعهد الداعمة انضباط الأساتيذ فى التعليم وحالة الفصل جذابا. أما العوامل المعوقة هي الأنشطة من التلاميذ الكثيرة، عدم الإنضباط من التلاميذ على الزمان وعدم الحماسة المداومة من التلاميذ فى اتباع الدراسة.
Development of AI-based Arabic Learning Model to Improve non-native speaker Arabic Speaking Skills M Syaikhudin; M Isroul Laili
Syaikhuna: Jurnal Pendidikan dan Pranata Islam Vol. 15 No. 1 (2024): March
Publisher : STAI Syaichona Moh. Cholil Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62730/syaikhuna.v15i1.7295

Abstract

This research delves into the development of an Artificial Intelligence (AI)-based Arabic language learning model with the aim of enhancing Arabic speaking skills for non-native speakers. The background of this research arises from the complexity of Arabic language learning, which requires not only an understanding of grammar and vocabulary but also proficiency in speaking with an accurate accent and intonation. The research methodology includes the selection of suitable AI algorithms, the development of a prototype model, and further testing on non-native speakers at the Sekolah Tinggi Agama Islam (STAI) al-Yasini, Pasuruan. The utilization of AI technology is expected to provide innovative solutions to address individual learning needs in the context of the Arabic language. Mid-term evaluation results indicate that the AI learning model can positively impact Arabic speaking skills, although improvements are still necessary. User response analysis provides valuable insights that serve as the basis for further model refinements. Suggestions for future research include further development of the AI model, broader testing across various non-native speaker groups, and the integration of user feedback to enhance Arabic speaking skills holistically. The implications of these research findings are expected to significantly contribute to the development of adaptive and innovative Arabic language learning.
Development of AI-based Arabic Learning Model to Improve non-native speaker Arabic Speaking Skills M Syaikhudin; M Isroul Laili
Syaikhuna: Jurnal Pendidikan dan Pranata Islam Vol 15 No 1 (2024): March
Publisher : STAI Syaichona Moh. Cholil Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62730/syaikhuna.v15i1.7295

Abstract

This research delves into the development of an Artificial Intelligence (AI)-based Arabic language learning model with the aim of enhancing Arabic speaking skills for non-native speakers. The background of this research arises from the complexity of Arabic language learning, which requires not only an understanding of grammar and vocabulary but also proficiency in speaking with an accurate accent and intonation. The research methodology includes the selection of suitable AI algorithms, the development of a prototype model, and further testing on non-native speakers at the Sekolah Tinggi Agama Islam (STAI) al-Yasini, Pasuruan. The utilization of AI technology is expected to provide innovative solutions to address individual learning needs in the context of the Arabic language. Mid-term evaluation results indicate that the AI learning model can positively impact Arabic speaking skills, although improvements are still necessary. User response analysis provides valuable insights that serve as the basis for further model refinements. Suggestions for future research include further development of the AI model, broader testing across various non-native speaker groups, and the integration of user feedback to enhance Arabic speaking skills holistically. The implications of these research findings are expected to significantly contribute to the development of adaptive and innovative Arabic language learning.
Co-Authors M Syaikhudin Masnun Masnun Umar