Agustin, Rizka Kamalia
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Integrating Artificial Intelligence in English Language Learning: A Systematic Literature Review Prayogo, Lego; Agustin, Rizka Kamalia; Puspita, Bella
JEdu: Journal of English Education Vol 5, No 2 (2025): JEdu: Journal of English Education
Publisher : Universitas Indraprasta PGRI, Jakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jedu.v5i2.14647

Abstract

The rapid development of Artificial Intelligence (AI) has had a significant impact on education, particularly in English language learning. AI offers more adaptive, personalized, and interactive learning approaches that can be tailored to individual learner needs. This study aims to systematically review empirical literature on AI integration in English language learning published between 2021 and 2025. Using the Systematic Literature Review (SLR) method and following PRISMA guidelines, a total of 23 articles from Crossref and Google Scholar were analyzed based on educational level, type of technology used, and learning outcomes. The findings reveal that AI is most widely applied at the secondary and university levels, with chatbot technology being the most dominant. The main impact of AI integration includes improved language skills (speaking, writing, reading, listening), enhanced learning motivation, automated feedback, and flexible learning. The study concludes that AI contributes positively to the effectiveness of English language learning, although challenges such as infrastructure readiness and teachers' digital competence still need to be addressed for optimal implementation.
Mathematical literacy levels in a social context: A sociomathematical analysis of eighth-grade middle school students Auliya, Nanang Nabhar Fakhri; Normala, Vina; Agustin, Rizka Kamalia
Journal Focus Action of Research Mathematic (Factor M) Vol. 9 No. 1 (2026): June 2026
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v9i1.4887

Abstract

Mathematical literacy is recognized as a critical skill in facing the challenges of modern life, and a deep understanding of mathematical literacy at the junior high school level is important to form the basis of mathematical skills that are sustainable and relevant to students' social lives. This research aims to analyze the level of mathematical literacy of class VIII SMP students in a social context using a sociomathematical approach. This research uses descriptive research with a qualitative approach involving interviews, observations, questionnaires, and tests. The sampling technique for this research was purposive sampling with a total of 31 students divided into three main groups (high, medium, and low). Apart from that, the maximum variation sampling technique was also applied to ensure variations in student characteristics, so that the data obtained could describe the phenomenon comprehensively until it reached data saturation. Data analysis in this research uses the Miles and Huberman Model technique. The results of this research reveal that mathematical literacy and socio-mathematical norms support each other in creating meaningful learning. However, the gap between students with high, medium, and low mathematical literacy indicates the need for more inclusive and adaptive learning strategies to ensure that all students can develop optimally.