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All Journal KEMBARA IJoLE: International Journal of Language Education BAHTERA : Jurnal Pendidikan Bahasa dan Sastra Interference: Journal of Language, Literature, and Linguistics Mattawang: Jurnal Pengabdian Masyarakat
Asnur, Muhammad Nur Ashar
Universitas Negeri Jakarta
Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : Interference: Journal of Language, Literature, and Linguistics

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Teaching English at Junior High School: Post-Pandemic Recovery Dian Saputra; Muhammad Nur Ashar Asnur; Rezkiah Hartanti; Melgasari Randa
Interference: Journal of Language, Literature, and Linguistics Vol 4, No 1 (2023): INTERFERENCE
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/interference.v4i1.44129

Abstract

Abstract. The objective of this study is to determine the justifications for employing online and offline learning models in the covid-19 pandemic, as well as the barriers to their use. This study was carried out at SMP Negeri 2 Kota Sorong. This study employs a descriptive qualitative methodology. The data for the study were gathered via interviews. Principal, English teachers, and students of SMP Negeri 2 Kota Sorong were questioned during the interviews.  According to this study's findings, there were two learning models used during the covivirus-19 epidemic. Both online and traditional forms of education are included into the instructional format of this strategy. Because the students' financial resources are inadequate to support online learning, a school first used offline learning at the beginning of the Covid-19 pandemic. This is one of the reasons why the school employs both methods of education. In addition to the challenges students experience throughout the learning process, there are a further four obstacles. The conclusion findings indicated that the two learning models were though somewhat successful. Furthermore, the principal developed a new learning model for post-pandemic Covid-19 recovery. Keywords: Teaching, Learning Model, Obstacles.
AI as a Learning Partner: Error Analysis, Text Revision, and Student Perceptions in German Writing Wijayanti, Melky Ayu; Asnur, Muhammad Nur Ashar; Syaputra, Arliah Fachrul
Interference: Journal of Language, Literature, and Linguistics Vol 6, No 2 (2025): INTERFERENCE
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/interference.v6i2.76536

Abstract

Abstract. This study investigates the role of artificial intelligence (AI), specifically Deepseek, as a learning partner in A2-level German writing (Schreiben). The research focuses on error analysis, revision processes, and students’ perceptions of using Deepseek in writing tasks. Participants were second-semester students of the German Language Education Program at State University of Jakarta. A descriptive qualitative method was employed, drawing on student texts before and after correction, Deepseek’s feedback, and responses to an open-ended questionnaire on students’ experiences. The procedure includes six steps: (1) student produced a text on a predetermined topic, (2) the text was corrected by Deepseek using structured prompt, (3) student revised their texts based on AI feedback, (4) Students were devided into groups and discuss the result of DeepSeek correction, (5) each group presented the result of their discussion, and (6) student perceptions were gathered through questionaries. Findings indicate that the most frequent errors concerned grammar, particularly case usage (Akkusativ, Dativ), prepositions, verb conjugation, articles, and word choice. Students expressed predominantly positive perceptions, noting that AI fosters writing autonomy, error awareness, and provides immediate feedback. The study concludes that AI can serve as an effective learning partner in foreign language writing, particularly German, by improving the quality of student texts and fostering learner autonomy. Keywords: AI Feedback, Deepseek, Schreiben, Error Analysis
Co-Authors A.A. Ketut Agung Cahyawan W Abduh, Amirullah Adys, Himala Praptami Agung Rinaldy Malik Ambo Dalle Arham, Muhammad Azis Azis, Azis Dian Saputra Ibrahim Ibrahim Ifan Iskandar Ihwan Rahman Bachtiar Kahar, Muhammad Syahrul Kartika, Ajeng Dianing Lestari, Tri Edliani Melgasari Randa Muhammad Fajar B Muhammad Japar Ramly, Ramly Ratna Dewanti Rezkiah Hartanti Rosmaladewi, Rosmaladewi Sabata, Yusniati N. Sri Sumarni Syamsul Alam, Syamsul Syaputra, Arliah Fachrul Triswantini, Erna Uryadi Usman, Misnawaty Wael, Ahmad Wijayanti, Melky Ayu