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GENERATIVE ARTIFICIAL INTELLIGENCE IN MATHEMATICS EDUCATION: A SYSTEMATIC REVIEW OF DATA-DRIVEN APPLICATIONS, LEARNING THEORIES, AND IMPLICATIONS FOR SUSTAINABLE DEVELOPMENT GOAL Khoirul Anwar; Adelia Sherlyna; Alyssa Marfinda Salsanifa; Havi Ayuning Tyas; Syahda Eka Prayudistyan; Genta Aldi Saputra; Iwan Maulana
AL JABAR: Jurnal Pendidikan dan Pembelajaran Matematika Vol. 5 No. 2 (2026): April
Publisher : LPPM Institut Ahmad Dahlan Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46773/x224sd70

Abstract

The rapid advancement of generative artificial intelligence (AI) has introduced transformative opportunities in mathematics education, yet its implications for pedagogical practices, learning theories, and sustainable development remain underexplored. This systematic review examines the intersection of generative AI and mathematics education, focusing on data-driven applications, theoretical frameworks, and their alignment with Sustainable Development Goal 4 (SDG 4), which advocates for inclusive and equitable quality education. We synthesize existing research to identify key trends, challenges, and opportunities across multiple dimensions, including higher education, STEM disciplines, adaptive learning, and ethical considerations. By analyzing diverse scholarly works, we uncover how gesnerative AI supports personalized learning, enhances problem-solving skills, and fosters engagement while addressing disparities in educational access. The review highlights the role of generative AI in promoting active learning through interactive tools, yet it also reveals concerns regarding algorithmic bias, data privacy, and the need for teacher preparedness. Our findings suggest that while generative AI holds significant potential to democratize mathematics education, its responsible integration requires robust pedagogical strategies and policy frameworks. The study contributes to ongoing discussions on AI-driven educational innovation by offering evidence-based insights for researchers, educators, and policymakers aiming to harness generative AI for sustainable educational development.
Development and Implementation of Information Technology-Based Learning Media in Project-Based Animation Learning at State Vocational School 4 Madiun Isna Qurrotun Aini; Novi Leny Rahmadhani; Farel Ramadani; Adelia Sherlyna; Narelia Rizky Oktadivani; Muhammad Akmal Bahauddin
Journal on Smart Learning Technologies Vol. 2 No. 2 (2026): Journal on Smart Learning Technologies
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jslt.v2i2.53207

Abstract

The transformation of education in the digital era necessitates the integration of information technology into learning processes to enhance the quality and relevance of education, particularly in vocational education. This study aims to analyze the development and implementation of information technology-based instructional media in project-based animation learning at SMK Negeri 4 Madiun. The study employed a qualitative approach using a case study design. Data were collected through observations, in-depth interviews, and documentation and were subsequently analyzed using an interactive analysis model consisting of data reduction, data display, and conclusion drawing. The findings reveal that information technology-based instructional media have been adaptively implemented and effectively integrated with industry demands through the Project-Based Learning (PjBL) model. Digital technologies function as the primary instructional medium throughout the learning process, ranging from concept visualization to animation production, and are supported by project-based assessment involving industry practitioners. The implementation of these technologies has contributed to increased student engagement, creativity, and technical competencies relevant to workplace requirements. However, several challenges were identified, including limitations in facilities and infrastructure, particularly the availability of devices with adequate specifications, as well as constraints related to instructional time and students’ digital competencies.