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Generative AI-Supported Problem-Solving in Higher Education: Research Trends, Knowledge Structure, and Educational Implications Suci Ramadhani; Nurlina Nurlina; Sutrisno Sutrisno; Irsan Irsan
Indonesian Journal of Education Research (IJoER) Vol. 7 No. 3 (2026): June
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v7i3.3187

Abstract

Purpose of the study: This study aims to map the research trends, intellectual structure, and emerging themes related to generative artificial intelligence (GenAI)-supported problem-solving in higher education. The study also identifies dominant contributors, thematic developments, collaboration patterns, and future research directions within this rapidly growing field. Methodology: This study employed a bibliometric analysis approach using 458 Scopus-indexed articles published between 2021 and 2026. Performance analysis and science mapping techniques were conducted using VOSviewer and Biblioshiny from the Bibliometrix package in RStudio. The analyses included co-occurrence, co-authorship, citation, overlay visualization, and thematic mapping to explore the knowledge structure of the field. Main Findings: The findings revealed a rapid increase in publications after 2023 following the emergence of ChatGPT and large language models (LLMs). China and the United States dominated publication productivity and citation impact. Keyword and thematic analyses identified problem-solving, students, and teaching as the main driving themes, while ChatGPT, AI literacy, metacognition, and human-AI collaboration emerged as rapidly developing research topics in higher education. Novelty/Originality of this study: This study provides one of the first comprehensive bibliometric mappings specifically focused on the intersection of GenAI and problem-solving in higher education. Unlike previous studies that broadly examined AI in education, it reveals the intellectual structure, thematic evolution, collaboration patterns, and emerging research directions in this field. The findings provide valuable insights for lecturers, educational evaluators, and curriculum developers in identifying emerging competencies, assessment priorities, and pedagogical strategies related to problem-solving and AI-enhanced learning in higher education.
A Bibliometric Analysis of Force Concept Inventory Research in Physics Education: Trends, Contributors, and Research Focus Nabila Maulida; Nurlina Nurlina
Jurnal Ilmiah Pendidikan Fisika Vol 10, No 2 (2026): JUNE 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v10i2.18436

Abstract

The Force Concept Inventory (FCI) has become a cornerstone in physics education research; however, a comprehensive mapping of its global research landscape remains limited. This study addresses this gap through a bibliometric analysis of FCI-related publications indexed in Scopus from 2006 to 2025 (N = 308). The analysis combines performance analysis (publication trends, citation impact, and contributions of authors, institutions, and countries) with science mapping using VOSviewer to examine collaboration networks and keyword co-occurrence. The results indicate a fluctuating yet overall increasing publication trend, with a peak in 2019. Research productivity and influence are dominated by authors and institutions from the United States, which also serves as the central hub of international collaboration. Keyword analysis reveals that FCI research primarily focuses on evaluating instructional interventions, followed by misconceptions, psychometric analysis, gender equity, and emerging themes such as learning analytics and technology-enhanced assessment. These findings demonstrate that the role of FCI has evolved from a tool for measuring learning gains into a rich data source for cognitive and data-driven analysis in physics education. This study provides a structured overview of the field and highlights the need to strengthen global collaboration and integrate advanced analytical approaches.
A Low-Cost Arduino-Based Ultrasonic System for Shallow-Water Wave Characterization Humairah, Nur Aisyah; Rosman N, Andi; Yahya, Amran; Hutapea, Bilferi; Amir, Faizal; Nurlina, Nurlina
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 15 No 1 (2026): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v15i1.32691

Abstract

Accurate measurement of shallow-water waves is essential for understanding wave propagation and fluid dynamics in physics education and laboratory research. However, quantitative wave experiments are often constrained by the high cost and complexity of commercial measurement systems. This study developed and evaluated a low-cost Arduino-based ultrasonic measurement system for investigating shallow-water wave characteristics under controlled laboratory conditions. A dual-sensor configuration employing HC-SR04 ultrasonic sensors was used to record real-time water-surface fluctuations generated at different excitation frequencies. The recorded signals were processed to determine wave amplitude and propagation velocity, and the experimental results were compared with theoretical shallow-water wave predictions. The system successfully captured frequency-dependent variations in wave behavior and produced propagation velocities that closely agreed with theoretical expectations, demonstrating satisfactory measurement performance despite minor deviations attributable to sensor resolution, boundary reflections, and experimental uncertainties. The observed wave responses also suggested frequency-dependent changes in energy transfer, although resonance mechanisms require further investigation. Overall, the developed system demonstrates the feasibility of using low-cost open-source instrumentation for quantitative shallow-water wave experiments. Beyond its research potential, the platform offers an accessible laboratory resource that integrates physics experimentation, programming, electronics, and data analysis, making it well suited for STEM-oriented and project-based physics learning.
Penguatan Konsep Dasar Matematika Melalui Kegiatan Math Club Berbasis Permainan pada Siswa SMPN 4 Majene Helmi Helmi; Gita Oktavia; Sartika Arifin; Fauziah Hakim; Nursakinah Annisa Lutfin; Nurlina Nurlina
Rengganis Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): Mei 2026
Publisher : Pendidikan Matematika, FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/rengganis.v6i1.1053

Abstract

Mathematics is often considered a difficult subject by students. Even now, many students still have not mastered basic mathematical concepts even though they are in grade 9 of junior high school. Therefore, this community service activity aims to strengthen students' basic mathematical concepts through Math Club activities using domino games at SMPN 4 Majene. This activity involved 40 students from grades 7, 8, and 9 who participated in structured meetings. This Math Club activity was held from September to November 2025. In the Math Club activity, the team used the domino game as media to make the activity more enjoyable and meaningful for students. The domino game media was in the form of question-answer cards that were adjusted to the curriculum and the difficulty level of each grade level. The implementation method consisted of three stages: preparation, implementation, and evaluation. Data were collected through pre-tests and post-tests to measure improvements in basic mathematical concepts, as well as questionnaires to measure student interest and satisfaction. The results of the activities showed an improvement in basic mathematical concepts and students participated actively and enthusiastically in each series of Math Club activities.
Application of The Physics Aviary Virtual Laboratory to Support Student Motivation and Self-Regulated Learning Nurlina Nurlina; Nur Aisyah Humairah; Ummu Kalsum; Fauziah. A; Maisarah Maisarah; Widia Widia; Wita Fardilla
GUYUB: Journal of Community Engagement Vol 6, No 3 (2025): September
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i3.12422

Abstract

Limited access to adequate physics laboratory facilities remains a major challenge in Indonesian schools, including SMAN 1 Mamasa, where conventional physics learning often lacks hands-on experiments. To address this issue, this study was conducted as part of a Community Service (PkM) activity, providing training and mentoring on the use of The Physics Aviary (TPA) virtual laboratory for eleventh-grade students. The activity employed Community-Based Research (CBR) and Service Learning approaches, enabling students to actively participate in meaningful learning experiences while contributing to the community. A total of 34 students (20 females, 14 males) participated in the program, which was conducted from July to August 2025. Data on learning motivation and self-regulated learning (SRL) were collected using validated questionnaires and analyzed descriptively. The results indicate that the virtual laboratory effectively fostered students’ intrinsic motivation, with the highest scores observed in intrinsic goal orientation (mean = 4.12, SD = 0.95) and task value (mean = 4.06, SD = 0.89). Additionally, SRL skills were reflected in high scores for time and study environment management (mean = 4.06, SD = 0.81) and peer learning (mean = 3.91, SD = 0.99). Student satisfaction with the training was also high, demonstrating successful implementation. This PkM activity not only introduced TPA in the local school context but also provided initial empirical evidence that virtual labs can serve as effective alternatives for fostering motivation and self-regulation in secondary physics education. However, the findings highlight the need to strengthen metacognitive and collaborative learning aspects.