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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Riset Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Elemen EDU-MAT: Jurnal Pendidikan Matematika Al Ishlah Jurnal Pendidikan Union: Jurnal Ilmiah Pendidikan Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Jurnal Ilmiah Profesi Pendidikan Indonesian Journal of Educational Assesment Jurnal Paedagogy Ideguru: Jurnal Karya Ilmiah Guru Didaktika: Jurnal Kependidikan Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran International Journal of Robotics and Control Systems Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Journal of General Education and Humanities Edumatica: Jurnal Pendidikan Matematika Jurnal Inovasi Pembelajaran Matematika: PowerMathEdu (PME) JME (Journal of Mathematics Education) Jurnal Kajian dan Terapan Matematika Jurnal Pedagogi Matematika International Journal of Mathematics and Science Education Jurnal Pendidikan Islam
Elly Arliani
Departement Of Mathematics Education, Universitas Negeri Yogyakarta
Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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SIDIC: A Learning Analytics–Driven Digital Diagnostic System for Identifying Students’ Mathematics Learning Profiles and Supporting Differentiated Instruction Depi Ardian Nugraha; Sugiman Sugiman; Elly Arliani; Heri Retnawati; Wahyu Setyaningrum
Jurnal Riset Pendidikan Matematika Vol. 13 No. 1 (2026): May 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jrpm.v13i1.96887

Abstract

The diversity of students’ learning profiles and the limited use of data-driven diagnostic assessment in mathematics classrooms present significant challenges in implementing differentiated instruction. Current classroom practices are still insufficiently supported by digital systems capable of accurately identifying students’ learning needs in real time. This study aims to develop SIDIC (Student Identification for Diagnostic Instructional Classification), a learning analytics–based digital diagnostic assessment system designed to identify junior high school students’ mathematics learning profiles and support data-driven differentiated instruction. The study employed a research and development approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages. Instrument validity was evaluated by seven experts across 40 items covering 10 aspects, resulting in an average Aiken’s V of 0.85, indicating high validity. Practicality testing involved 92 students and 9 mathematics teachers from three schools, showing that SIDIC falls into the very practical category (student score = 4.33; teacher score = 4.49). The findings indicate that SIDIC is easy to use, efficient, and effective in identifying students’ learning profiles. Overall, SIDIC represents a valid, practical, and adaptive digital assessment innovation that bridges diagnostic assessment, digital technology, and data-driven differentiated instruction within an integrated system.
The Implementation of the Problem Based Learning Model with a Contextual Approach to Improve Middle School Students Creative Thinking Skills Vita Rizky; Elly Arliani; Syarif Hidayatullah
JME (Journal of Mathematics Education) Vol 11, No 1 (2026): JME (January - June)
Publisher : Universitas Sembilanbelas November Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/jme.v11i1.2777

Abstract

This study aims to analyze the effectiveness of implementing the Problem-Based Learning (PBL) model with a contextual approach in improving students’ mathematical creative thinking skills. This research employed a pre-experimental design using a one-group pretest–posttest approach involving 30 eighth-grade students in Yogyakarta, selected through purposive sampling techniques. The research instruments consisted of a creative thinking skills test and observation sheets. The results showed a significant difference between students’ pretest and posttest scores based on the paired-sample t-test (p-value = 0.0001 0.05). Furthermore, the one-sample t-test results indicated that the average creative thinking ability of students had reached the predetermined mastery criteria (p-value = 0.0001 0.05). The proportion test also demonstrated that classical learning mastery was achieved (p-value = 0.010 0.05), with at least 75% of students reaching the mastery criteria. Thus, it can be concluded that the integration of the PBL model with a contextual approach is effective in enhancing students’ mathematical creative thinking skills and supports active engagement in learning
Bibliometric Analysis of Blended Learning Research Trends: Integrating Cognitive Load Theory and Retrieval Practice Perspectives Alfauzan Ramadhanny Simangunsong; Wahyu Setyaningrum; Elly Arliani; Ariyadi Wijaya
Journal of General Education and Humanities Vol. 5 No. 3 (2026): June
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/gehu.v5i3.1436

Abstract

Blended learning has been widely implemented in education, particularly in response to the rapid development of digital learning environments. However, existing studies predominantly focus on implementation practices and general learning outcomes, while neglecting the cognitive mechanisms that underlie learning effectiveness. This study addresses this gap by analyzing research trends, conceptual structures, and existing research gaps in blended learning through the integration of Cognitive Load Theory and retrieval practice. The objective of this study is to map the development of blended learning research and identify the extent to which cognitive principles have been incorporated into instructional design studies. A bibliometric approach was employed using data retrieved from Scopus and Google Scholar databases covering the period 2020–2025. The data were analyzed using VOSviewer to examine keyword co-occurrence networks, thematic clusters, temporal trends, and research density. The results indicate that blended learning research remains fragmented and largely focused on implementation issues, student engagement, and pandemic-related educational contexts. Although there is a growing interest in theoretical perspectives, the integration of Cognitive Load Theory and retrieval-based learning strategies remains limited. Furthermore, cognitive constructs such as prior knowledge activation, working memory management, and retrieval processes are underrepresented in high-density research clusters, indicating a significant research gap in cognitively grounded instructional design. This study highlights the need for a more structured instructional framework that integrates cognitive principles, particularly through pre-learning interventions that enhance retrieval practice and optimize cognitive load management. The findings contribute to the development of a more theory-driven blended learning model aligned with human cognitive architecture.
Co-Authors Agus Santoso Agustina, Ni Luh Ika Tri Alfauzan Ramadhanny Simangunsong Amelia Anggraini, Amelia Amini, Nurul Anisa Dwi Oktarina Apino, Ezi Ariyadi Wijaya Azriah Azriah Bazuri, Ahmad Bela Nurfania Depi Ardian Nugraha Djamilah Bondan Widjajanti Djidu, Hasan Dwi Susanti Eka Ramadanti Eminugroho Ratna Sari Fauziyyah Fauziyyah Fifi Khairun Nisa Fikri, Darojatun Fishy Dirgahastyan Provita Fitriana, Silfi Nisa Hartono Hartono Heri Retnawati Himmawati Puji Lestari Irfan Hilmi Isnaeni Isnaeni Iva Agustiyani Jailani Jailani Januarius Clief Ngala Kana Hidayati Kardanova, Elena Kartianom, Kartianom Kassymova, Gulzhaina Kuralbayevna Kismiantini Kismiantini Lantip Diat Prasojo Latif Irfan Lia Yuliana M. Rafi Mathilda Susanti Mayang Purbaningrum Muhammad Catur Budi Sejati Muhammad Catur Budi Sejati Muhammad Riski, Muhammad Mursyida, Itsna Nanda, Eka Mega Ngala, Januarius Clief Ni Luh Ika Tri Agustina Nindy Fadlila Nur Lailatul Azizah Nur Lailatul Azizah Nurul Amini Nurul Mu'minin Mz Rachma Hanan Tiasto Rasmuin Rasmuin Reni Yuliyanti Retno Subekti Rosyada, Munaya Nikma Sahrul Ramadhan Sari, Anisa Fatma Kurnia Septiani, Syilvia Septinda Rima Dewanti Sherlyna Maryanto Putri Sinaga, Yohana Dwi Kristiani Siti Marfu'ah Sophia Elma Sotlikova, Rimajon Sugiman Sugiman Sumaryanto Sumaryanto, Sumaryanto Syarif Hidayatullah Syarif Hidayatullah Syukrul Hamdi Tuanaya, Rugaya Viera Setya Damayanti Vita Rizky Wahyu Setyaningrum Yohana Dwi Kristiani Sinaga