Rani Darmayanti
Universitas Nadhlatul Ulama

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Analysis of Prospective Teachers' Self-Training Needs Regarding Mathematical Software Adaptation Supriyo Supriyo; Ani Afifah; Rani Darmayanti; Syed Muhammad Yousaf Farooq
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 3 (2026): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i3.37325

Abstract

In the modern educational landscape, the integration of technology into mathematics education is crucial, and prospective teachers are expected to be not only passive users but also adaptive developers of digital content. Despite being labeled as the "digital generation," a paradox has emerged where general technological proficiency does not equate to competence in specialized mathematics software. This study addresses the self-paced training needs of prospective mathematics teachers at Universitas PGRI Wiranegara, aiming to improve their ability to adapt learning software effectively. Using a qualitative descriptive approach, data were collected through questionnaires and in-depth interviews with final-year students, with the instruments validated through expert assessment and data triangulation to ensure reliability and accuracy. The study revealed a significant gap in technological proficiency: 88% of respondent demonstrated proficiency in basic visualization techniques, but only 4% mastered advanced features such as scripting. Analysis of self-paced learning patterns highlighted issues such as fragmented learning, reactive learning, and high cognitive load, underscoring the urgent need for a structured, project-based self-paced training roadmap. This roadmap will guide prospective teachers from understanding mathematical abstractions to effectively implementing digital functions, empowering them to become competent digital content developers and increasing the effectiveness of their teaching in technologically integrated classrooms. 
Statblithz Game Media Development to Train Students' Mathematical Problem-Solving Skills Ani Afifah; Alya Wulandari; Rani Darmayanti; Paulo Vitor da Silva Santiago; Samuel Karim
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 1 (2026): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i1.35179

Abstract

Mathematical problem-solving skills are essential for students to succeed in the 21st century, yet many struggle to apply mathematical concepts in real-life situations. This research addresses the need for innovative learning media by developing Statblithz Game, an educational game designed to train and enhance students’ mathematical problem-solving abilities. The study employed a Research and Development approach using the ADDIE model, involving stages of analysis, design, development, implementation, and evaluation. Participants included middle school students who engaged with the prototype and provided feedback through questionnaires, expert validations, and pre- and post-tests measuring problem-solving performance. The results indicated that Statblithz Game is highly feasible, with expert validation scores averaging 89%. Moreover, students’ problem-solving test scores improved by an average of 25% after using the game. In conclusion, the Statblithz Game effectively enhances mathematical problem-solving skills and offers an engaging alternative to traditional mathematics instruction. The impact of this research lies in providing educators with an innovative and interactive tool that can foster critical thinking and improve student learning outcomes in mathematics.