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All Journal Jurnal Riset Pendidikan Matematika Range : Jurnal Pendidikan Matematika Mosharafa: Jurnal Pendidikan Matematika Edumatika Catimore: Jurnal Pengabdian Kepada Masyarakat
Fineldi, Rira Jun
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Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Students' difficulties: mathematical creative thinking skill questions based on habits of mind. Fineldi, Rira Jun; Hidayati, Kana
Jurnal Riset Pendidikan Matematika Vol. 10 No. 1: May 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jrpm.v10i1.60001

Abstract

This study aims to describe the types of difficulties experienced by students in solving mathematics problems based on students' mathematical creative thinking ability and habits of mind. This research included survey research with quantitative and qualitative approaches. The subjects of the study were 519 students of State Junior High School and State Madrasah Tsanawiyah who came from ten schools with high, medium, and low accreditation categories in Kampar Regency, Riau, Indonesia. The sample in this study was determined by stratified proportional random sampling technique. The instruments used were a diagnostic test consisting of four mathematical problems based on mathematical creative thinking skills and a habits of mind questionnaire consisting of 40 statements referring to 16 habits of mind indicators. Students who obtained diagnostic test scores less than the KKM set by each school. Interviews were conducted with students who experienced difficulties to clarify the types and locations of difficulties experienced by students. The results of the study showed that; 35.26% have difficulties in understanding the problems, 53.76% in transforming problems, 54.38% in the mathematical process, and 54.82% in determining the final answer, and judging from the habits of mind, the very high category is 38.42%, the high category by 44.91%, the medium category by 50.74%, the low category by 53.06%, and the very low category by 52.45%. Students still have difficulty in solving math problems so making the teacher an active facilitator of students can help students understand and determine what steps to take towards difficulties in solving problems.
Workshop Pemanfaatan Artificial Intelligence untuk Merancang Pembelajaran Mendalam sebagai Upaya Peningkatan Kompetensi Guru di YAPIP Cianjur Jainuddin, Jainuddin; Usman, Zea Zisman; Fineldi, Rira Jun; Nurfauziah, Puji; Anita, Ika Wahyu; Yolanda, Fitriana; Sthephani, Aulia; Siagian, Teddy Alfra; Jupri, Al; Sudihartinih, Eyus
Catimore: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2025): Catimore: Jurnal Pengabdian kepada Masyarakat
Publisher : LSM Catimore dan Sahabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56921/cpkm.v4i2.328

Abstract

The rapid development of educational technology requires teachers to possess adaptive skills in designing learning processes that meet the demands of the 21st century. Teachers at Yayasan Pendidikan Islam Pacet (YAPIP) in Cianjur face challenges in understanding and implementing deep learning approaches, which consist of mindful learning, meaningful learning, and joyful learning, as well as in utilizing Artificial Intelligence (AI) as an educational innovation. This community service program aimed to enhance teachers’ competencies through a workshop focused on integrating AI into the design of deep learning-based instruction. The method included four stages: planning, implementation, evaluation, and reflection, involving 28 teachers from elementary and junior high school levels. The results indicated improvements in teachers’ knowledge, skills, and attitudes toward AI integration, demonstrated by innovative lesson designs, group presentations, and reflective discussions. Evaluation revealed that more than 80% of participants reported increased confidence in applying AI to their teaching practice. Challenges included limited digital infrastructure and variations in teachers’ technological literacy. Nevertheless, the workshop proved to be an effective alternative solution for supporting curriculum implementation and strengthening teacher professionalism. The outputs included lesson plans, scientific publications, media articles, and recommendations for program sustainability. Thus, this activity is expected to serve as a replicable model for other schools to improve the quality of technology-based education in regions with low Human Development Index (HDI).
Emergent Modeling in Probability Learning: A Learning Trajectory Using Spinning Top Game (Gasing) Context Wulan, Endah Nawang; Sugiman, Sugiman; Minarni, Minarni; Fineldi, Rira Jun
Edumatika Vol 8 No 2 (2025): November 2025, Edumatika : Jurnal Riset Pendidikan Matematika
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan IAIN Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/ejrpm.v8i2.6032

Abstract

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Examining Potential Teachers' Capabilities for Creative Thinking in Geometry Problems Using Analytical Framework NEA Fineldi, Rira Jun; Al Jupri
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2026): Range Januari 2026
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i2.10007

Abstract

In classroom practice, the use of problems that require students to engage both in higher-order thinking and creative reasoning has been recognized as among the most effective strategies for meaningful learning. Within this context, the present study was designed to investigate in depth the types of errors committed by mathematics education students, who are also prospective teachers, in demonstrating their creative thinking abilities when dealing with geometry-related tasks. The analytical framework employed was Newman Error Analysis (NEA), which provides a systematic way to examine mistakes in problem-solving processes. A qualitative approach with a descriptive case study design was selected in order to capture a detailed picture of the phenomena under investigation. The participants consisted of 22 mathematics education students from a university located in Surakarta. Several methods were used to gather data, including direct classroom observation, the administration of diagnostic tests specifically developed to measure mathematical creative thinking, and in-depth interviews. The data analysis followed the model proposed by Miles and Huberman, involving three interrelated steps: data reduction, data display, and the formulation of conclusions. The findings revealed that the most frequent and significant errors occurred during the transformation and encoding stages of problem solving. This study concludes that strengthening prospective teachers’ exposure to non-routine geometry problems and explicitly addressing common error patterns are essential for improving creative mathematical thinking.
Exploring the Role of ChatGPT in Enhancing Students’ Mathematical Creative Thinking in Geometry Learning: A Qualitative Case Study Fineldi, Rira Jun; Jupri, Al; Khatami, Muhammad
Mosharafa: Jurnal Pendidikan Matematika Vol. 15 No. 1 (2026): January
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v15i1.3567

Abstract

Pikiran kreatif merupakan kompetensi kunci dalam pembelajaran geometri, yang sering melibatkan pemecahan masalah yang tidak rutin dan secara visual kompleks, namun banyak siswa mengalami kesulitan dalam mengembangkan strategi pemecahan masalah. Peningkatan penggunaan kecerdasan buatan generatif seperti ChatGPT menawarkan peluang pedagogis baru, namun perannya dalam mendukung pemikiran kreatif matematis masih belum jelas. Studi ini bertujuan untuk mengkaji bagaimana keterkaitan pembelajaran yang didukung ChatGPT terhadap pemikiran kreatif matematis siswa dalam geometri dan menganalisis karakteristik pemecahan masalah siswa saat didukung oleh AI. Studi kasus kualitatif dilakukan dengan 29 siswa kelas tujuh dari SMP di Kampar. Data dikumpulkan melalui Tes Kemampuan Berpikir Kreatif Matematika dengan empat soal geometri non-rutin, observasi kelas, dan analisis tanggapan tertulis siswa, yang dievaluasi menggunakan indikator berpikir kreatif matematika. Temuan menunjukkan bahwa berpikir kreatif siswa berada pada tingkat sedang, dengan ChatGPT paling efektif dalam mendukung elaborasi, sementara fleksibilitas dan orisinalitas tetap relatif lemah. Kesalahan utama terjadi pada tahap keterampilan transformasi dan proses, terutama dalam tugas visual-spasial. ChatGPT berfungsi sebagai scaffolding prosedural dan elaboratif rather than katalisator untuk pemikiran divergen, menyoroti kebutuhan akan integrasi AI yang terarah dan reflektif dalam pembelajaran geometri. Creative thinking is a key competency in geometry learning, which often involves solving non-routine and visually complex problems, yet many students struggle to develop problem-solving strategies. The increased use of generative artificial intelligence such as ChatGPT offers new pedagogical opportunities, but its role in supporting mathematical creative thinking remains unclear. This study aims to examine how ChatGPT-supported learning relates to students' mathematical creative thinking in geometry and to analyse the characteristics of students' problem solving when supported by AI. A qualitative case study was conducted with 29 seventh-grade students from a secondary school in Kampar. Data were collected through a Mathematical Creative Thinking Ability Test with four non-routine geometry questions, classroom observations, and analysis of students' written responses, which were evaluated using indicators of mathematical creative thinking. Findings indicate that students' creative thinking is at a moderate level, with ChatGPT most effective in supporting elaboration, while flexibility and originality remain relatively weak. The main errors occurred at the transformation and process skill stages, especially in visual-spatial tasks. ChatGPT functioned as procedural and elaborative scaffolding rather than a catalyst for divergent thinking, highlighting the need for targeted and reflective AI integration in geometry learning.
Co-Authors Al Jupri Eyus Sudihartinih Ika Wahyu Anita Jainuddin, Jainuddin Kana Hidayati Khatami, Muhammad M. Yogi Riyantama Isjoni Puji Nurfauziah, Puji Siagian, Teddy Alfra Sthephani, Aulia Sugiman Sugiman Usman, Zea Zisman Wulan, Endah Nawang Yolanda, Fitriana