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Assistance in Learning the History of the Arabic Language during the Umayyad Era for Teachers and the Community Kamaluddin Abu Nawas; Muhammad Asmariadi Arsyad; Andi Abdul Hamzah
Maslahah: Jurnal Pengabdian Masyarakat Vol 7, No 2 (2026): Publication in progress
Publisher : Yayasan Rahmat Islamiyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/maslahah.v7i2.13647

Abstract

This Community Partnership Program (PKM) aims to enhance public historical literacy and understanding of the development of the Arabic language during the Umayyad Dynasty and its relevance to contemporary Arabic language learning. The program was implemented through a participatory educational approach consisting of lectures, interactive discussions, and participant mentoring to explore the contributions of the Umayyad Dynasty to the development of Arabic as the language of administration, government, scholarship, and Islamic civilization. The educational materials covered the Arabization policy, the development of Arabic rhetoric and literature, the transformation of Arabic poetry, and the utilization of the Islamic linguistic heritage as a valuable resource for Arabic language learning. The results of the program indicate an improvement in participants' understanding of the historical development of the Arabic language, a stronger appreciation of classical Arabic literary heritage, and greater awareness of the importance of integrating historical and cultural perspectives into Arabic language instruction. The program also encouraged participants to utilize these historical values as inspiration for developing more contextual, communicative, and culturally responsive Arabic language learning while preserving the intellectual heritage of Islamic civilization. Therefore, this Community Partnership Program contributes to strengthening historical literacy on Islamic civilization and improving the quality of Arabic language learning within the community.
First-Year Students’ Narratives on Generative AI-Based Feedback and Cognitive Engagement Nuraeni Novira; Amrah Kasim; Andi Abdul Hamzah; Abd. Fattah; Maratu Shoaleha; Hilyah Rahmat
International Journal of Educational Narratives Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v4i3.3688

Abstract

Background. The integration of Generative Artificial Intelligence (AI) in higher education has transformed how formative feedback is delivered, offering possibilities that are immediate, adaptive, and personalized. However, a critical gap persists in the literature: most studies have measured the effectiveness of AI-based feedback without examining how students actually experience and make meaning of it. This gap is especially pronounced among first-year university students in developing countries such as Indonesia, where the lived dimensions of AI-mediated learning remain largely unexplored. Purpose. This study aims to explore first-year students’ narratives on their experiences with Generative AI-based formative feedback and how these experiences shape their cognitive engagement. Method. This study employs a qualitative approach using narrative inquiry. Twelve first-year students were purposively selected from 80 participants based on theoretical saturation criteria, providing rich reflective data on their interactions with Generative AI-based feedback. Data were analyzed through inductive thematic narrative analysis, identifying recurring patterns that illuminate how students construct meaning from their experiences and how those experiences shape their cognitive engagement. Results. The findings indicate that students perceive AI-based feedback as a supportive and responsive learning companion that facilitates reflection, encourages independent learning, and promotes deeper engagement with learning materials. Students’ narratives also highlight the importance of immediacy and personalization in feedback, which contribute to the development of critical thinking, self-regulation, and deep learning strategies. Conclusion. This study emphasizes the importance of understanding AI-based learning not only through measurable outcomes but also through students’ lived experiences. By foregrounding students’ voices, this research provides insights into how AI-mediated feedback can support meaningful learning and enhance cognitive engagement. The findings offer practical implications for designing more adaptive and student-centered feedback practices in higher education.