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All Journal Chalim Journal of Teaching and Learning Attaqwa:Jurnal Ilmu Pendidikan Islam Interdisciplinary Journal of Social Sciences
Ria Kusrini, Nurul Azizah
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Religion Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Implementasi Program Student Led Conference (SLC) Dalam Pembelajaran Kolaboratif Siswa Guru dan Orang Tua Agustyarini, Yhasinta; Ria Kusrini, Nurul Azizah; Ningrum, Rachmania Widya
Chalim Journal of Teaching and Learning Vol. 4 No. 1 (2024): Teaching and Learning
Publisher : Program S3 Pendidikan Islam Institut Pesantren KH. Abdul Chalim Pacet Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/cjotl.v4i1.1007

Abstract

This study investigated the effects of student-led conferences (SLC) on parents, instructors, and students at MI Progressive Al Musthofa Bangsal Mojokerto. A qualitative descriptive approach with a case study type of research was applied; this study involved observation, interviews, and document collection from 15 students, two teachers, and three parents of students in Class II Marwah. The Miles, Huberman & Saldana model was used in data analysis consisting of condensing, presenting, and making conclusions. The study's findings demonstrated that SLC gives parents, instructors, and students a chance to assess each other's development and identifies areas where kids need improvement. SLC helps teachers to understand students' individual development and gives parents a deeper understanding of their children's strengths, challenges, and dreams. With SLC, students can direct their learning by selecting engaging subjects to cover. In addition to encouraging individual study and subject exploration that aligns with students' interests, SLC can foster open communication between all parties and raise the shared accountability for kids' academic performance. Teachers and parents will be able to understand their pupils' learning experiences better, enabling them to offer more specialized help. By putting SLC into practice, educators may help students take charge of their education, foster a collaborative learning environment, and promote lifelong learning and academic advancement.
Applying Self-Determination Theory (SDT) In Game-Based Learning (GBL) To Teach Grammar For TOEFL For University Students Ria Kusrini, Nurul Azizah; Agustyarini, Yashinta
Interdisciplinary Journal of Social Sciences Vol. 1 No. 1 (2024): March: Strengthening Education and Community Empowerment through Innovative App
Publisher : Perkumpulan Dosen Tarbiyah Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59373/ijoss.v1i1.25

Abstract

This study aimed to find out the intrinsic motivation from Self-Determination Theory (SDT) of university students in learning grammar for TOEFL through a gamified way. The game platform used was Kahoot. this study employed qualitative descriptive research as it focused on the responds of the students in doing TOEFL-like test in Kahoot.it, and then analyzing the students’ feedback toward the game, the materials, and the activities. The result showed that the game was employed in an experimental setting to examine the influence of Autonomy, Relatedness, and Competence (ARC) support on player engagement and motivation. The intrinsic motivation components were evaluated and they indicate certain conclusions. In the online game context intrinsic motivation is enhanced by the perspective of winning and/or getting a reward. Implementing language games into the learning process will bring variety, break monotony, enliven classes, and motivate students to work. Rewards, points, levels are forms of extrinsic motivators, but the whole gaming experience touches significantly the intrinsic motivation aspects.
The Bridging the Lingustic Gap: Challenges in Building AI Models For Non-Standard Dialects Ramadhan, Rizky Surya; Ria Kusrini, Nurul Azizah; Ardianto, Ardianto
Attaqwa: Jurnal Ilmu Pendidikan Islam Vol. 21 No. 1 (2025): Ilmu Pendidikan Islam
Publisher : Prodi Pendidikan Agama Islam Sekolah Tinggi Agama Islam Daruttaqwa Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54069/attaqwa.v21i1.978

Abstract

This study examines the challenges of developing Natural Language Processing (NLP) models for non-standard and low-resource Indonesian dialects, with a focus on code-mixing, slang, and regional variations commonly encountered in digital communication. Using a synthetic dataset (NusaDialect benchmark) for sentiment analysis and Named Entity Recognition (NER), we examined the performance of widely used models, including mBERT, IndoBERT, XLM-RoBERTa, and GPT-4. Quantitative results reveal a significant performance gap when models trained on standard Indonesian are applied to dialectal input, with IndoBERT outperforming mBERT but being surpassed by XLM-RoBERTa. In contrast, GPT-4 demonstrates strong resilience in zero-shot settings. Qualitative error analysis further reveals systematic weaknesses related to out-of-vocabulary slang, code-switching ambiguity, morphological complexity, and pragmatic or culturally embedded expressions. To address these limitations, two mitigation strategies were tested: continued pretraining on social media data and data augmentation with back-translation. Findings indicate that while continued pretraining yields the most significant performance gains, augmentation offers a more balanced trade-off by improving dialectal robustness without degrading performance on formal Indonesian. The study concludes that overcoming these linguistic challenges requires not only technical solutions but also culturally informed approaches. Practical implications extend to AI applications in customer service, social media analysis, and digital governance, where inclusivity and accessibility for diverse language users are essential.
Co-Authors Agustyarini, Yashinta Ardianto Ardianto Eka Rizki Amalia, Eka Rizki Juli Amaliya Nasucha, Juli Amaliya Ningrum, Rachmania Widya Ramadhan, Rizky Surya Sunnah, Muqimah Liwais Yhasinta Agustyarini, Yhasinta Yuliansyah, Muhammad