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All Journal Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Jurnal Pengabdian Masyarakat (ABDIRA) Kajian Bahasa dan Sastra serta Pembelajaran Bahasa Indonesia
Zainah Asmaniah
Institut Pendidikan Indonesia
Aerospace Engineering Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Nursing Social Sciences Other

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Deteksi Kesalahan Pemahaman Membaca Berbasis Deep Learning untuk Pengembangan Strategi Pembelajaran Adaptif Asep Nurjamin; Aisyah Khoerunnisa Nurjamin; Zainah Asmaniah
Alusi: Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol. 1 No. 2 (2025): Alusi: Kajian Bahasa dan Sastra serta Pembelajaran Bahasa Indonesia
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/alusi.v1i2.3210

Abstract

Reading comprehension is a critical skill for academic success; however, students with reading difficulties often face significant challenges in mastering this skill. This study aims to develop a deep learning-based error detection model for reading comprehension, integrated with Barrett’s Taxonomy as the analytical framework. The model is designed to automatically identify students’ error patterns through the analysis of reading comprehension test responses, thereby providing specific and timely feedback. The research method involves collecting reading test data from elementary school students, annotating errors based on Barrett’s Taxonomy categories, training the deep learning model for error classification, and testing the model’s validity and reliability. Preliminary results indicate that the model can accurately recognize different types of errors, which are then used as the basis for designing adaptive learning strategies tailored to each student’s error profile. These findings are expected to contribute to the development of literacy learning innovations that are responsive to individual needs while enriching artificial intelligence–based educational practices at the elementary school level.
Deteksi Kesalahan Pemahaman Membaca Berbasis Deep Learning untuk Pengembangan Strategi Pembelajaran Adaptif Asep Nurjamin; Aisyah Khoerunnisa Nurjamin; Zainah Asmaniah
Alusi: Jurnal Pendidikan Bahasa dan Sastra Indonesia Vol. 1 No. 2 (2025): Alusi: Kajian Bahasa dan Sastra serta Pembelajaran Bahasa Indonesia
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/alusi.v1i2.3210

Abstract

Reading comprehension is a critical skill for academic success; however, students with reading difficulties often face significant challenges in mastering this skill. This study aims to develop a deep learning-based error detection model for reading comprehension, integrated with Barrett’s Taxonomy as the analytical framework. The model is designed to automatically identify students’ error patterns through the analysis of reading comprehension test responses, thereby providing specific and timely feedback. The research method involves collecting reading test data from elementary school students, annotating errors based on Barrett’s Taxonomy categories, training the deep learning model for error classification, and testing the model’s validity and reliability. Preliminary results indicate that the model can accurately recognize different types of errors, which are then used as the basis for designing adaptive learning strategies tailored to each student’s error profile. These findings are expected to contribute to the development of literacy learning innovations that are responsive to individual needs while enriching artificial intelligence–based educational practices at the elementary school level.
INTEGRASI AI DALAM PENULISAN BERITA MAHASISWA:: DAMPAKNYA TERHADAP KREATIVITAS DAN ETIKA JURNALISTIK Umi Kulsum; Zainah Asmaniah; Syifa Purwati
Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Vol. 16 No. 2 (2026): Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/literasi.v16i2.44732

Abstract

This study was motivated by the increasing use of artificial intelligence (AI) in students’ news writing. While AI offers efficiency in generating texts quickly, it also raises concerns about creativity and journalistic ethics. The study aimed to describe the integration of AI in students’ news writing and to analyze its impact on creativity and journalistic ethics. A mixed-method approach with descriptive and associative design was employed. The participants were students of the Indonesian Language and Literature Education Program. Data were collected through a Likert-scale questionnaire, document analysis of students’ news texts, semi-structured interviews, and observation. Quantitative data were analyzed descriptively and correlationally, while qualitative data were analyzed through data reduction, data display, and conclusion drawing. The findings show that AI integration in news writing was in the high category. The use of AI helped students develop ideas, determine news angles, and organize texts more systematically. In addition, students’ journalistic ethics were categorized as good, particularly in terms of information verification, responsibility for content, and awareness of avoiding direct use of AI-generated output. This study concludes that AI integration can support students’ creativity and journalistic ethics when it is used critically, proportionally, and responsibly.
Revitalisasi Sastra Lisan sebagai Materi Pengayaan Literasi di Lingkungan PKBM Tentrem Berdaya Zainah Asmaniah; Winka Naida; Lina Siti Nurwahidah; Umi Kulsum; Puput Putri
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 3 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i3.2237

Abstract

This community service activity was motivated by the low level of integration of local wisdom into the formal literacy curriculum at PKBM Tentrem Berdaya, which has led to the marginalization of regional oral literature. The primary objective of this program is to improve students' reading comprehension skills through the exploration and adaptation of oral literary values. The method employed is Participatory Action Research (PAR), implemented through intensive training, mentoring, and writing workshops. The results of the program demonstrate measurable improvements in students' cultural literacy and language skills. This revitalization effort has successfully bridged the gap in cultural literacy while providing contextual learning resources for students. This initiative is expected to serve as a strategic reference for non-formal educational institutions in integrating local wisdom to strengthen the foundation of community cultural literacy.
Co-Authors Aisyah Khoerunnisa Nurjamin Asep Nurjamin Lina Siti Nurwahidah Puput Putri Syifa Purwati Umi Kulsum Winka Naida