Vol. 12 No. 4 (2026): In Progress
Open Access
Peer Reviewed

A Review: Research Trends on Development of a Sensor-Based Linear Motion Kit with Problem-Based Learning Model to Improve Problem-Solving and Critical Thinking Skills

Authors

Susilawati , Prapti Sedijani , Jaswadi , Syarful Annam

DOI:

10.29303/jppipa.v12i4.14543

Published:

2026-04-25

Downloads

Abstract

This study aims to synthesize and map research trends related to the development of sensor-based linear motion kits integrated with a Problem-Based Learning (PBL) model to enhance students’ problem-solving and critical thinking skills in physics education. A Hybrid Systematic Literature Review (SLR) and Bibliometric Review was employed following PRISMA guidelines. Articles published between 2020 and 2025 were retrieved from Scopus and SINTA databases. Articles focusing on sensor-based kits and PBL in high school or university physics were included. After identification, screening, eligibility, and inclusion processes, 30 relevant studies were analyzed. Bibliometric techniques were used to identify publication trends, keyword co-occurrence, and thematic clusters, while qualitative synthesis examined pedagogical approaches and learning outcomes. The findings indicate a growing research interest in sensor-supported physics learning and PBL integration. Studies consistently report that sensor-based linear motion kits embedded in PBL environments effectively support real-time data interpretation, experimental reasoning, and collaborative inquiry, leading to significant improvements in problem-solving and critical thinking skills. However, gaps remain in the integration of low-cost, curriculum-aligned sensor kits and in long-term empirical validation. This review highlights the pedagogical potential of integrating sensor-based linear motion kits with PBL and provides evidence-based insights to guide future research and instructional design in physics education.

Keywords:

Critical Thinking Physics education Problem based learning Problem solving Sensor-based linear motion kit

References

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007

Bybee, R. W. (2020). STEM education: Toward a new paradigm. Technology and Engineering Teacher, 79(8), 8–16. https://doi.org/10.1007/s11191-020-00147-3

Cindy E. Hmelo-Silver, Duncan, R. G., & Chinn, C. A. (2007). Scaffolding and achievement in problem-based learning. Educational Psychologist, 42(2), 99–107. https://doi.org/10.1080/00461520701263368

Çoban, A., & Erol, M. (2021). Teaching kinematics via Arduino-based STEM education material. Physics Education, 56(1), 015010. https://doi.org/10.1088/1361-6552/ac342d

Çoban, A., & Salar, R. (2023). Analyzing position, velocity and acceleration graphs using Arduino. Jurnal Pendidikan Fisika Indonesia, 19(1). https://doi.org/10.15294/jpfi.v19i1.32246

David Hestenes, Wells, M., & Swackhamer, G. (1992). Force concept inventory. The Physics Teacher, 30(3), 141–158. https://doi.org/10.1119/1.2343497

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Doyan, A., Susilawati, Harjono, A., Muliyadi, L., Hamidi, Fuadi, H., & Handayana, I. G. N. Y. (2023). The effectiveness of modern optical learning devices during the Covid-19 pandemic to improve creativity and generic science skills of students. The 1st International Conference on Science Education and Sciences, 020005. https://doi.org/10.1063/5.0122553

Doyan, A., Rahayu, S., Lugi, F., & Annam, S. (2024). Trends Research Problem Based Learning (PBL) Model to Improve Generic Science Skills in Students' Science Learning (2015-2024): A Systematic Review. Jurnal Penelitian Pendidikan IPA, 10(9), 621-630. https://doi.org/10.29303/jppipa.v10i9.8370

Doyan, A., Susilawati, S., Harjono, A., Annam, S., Ikhsan, M., Ardianti, N. R., & Hakim, S. (2025). Development of modern physics learning media based on interactive web using the PJBL model to improve critical thinking skills: A systematic review. Jurnal Penelitian Pendidikan IPA, 11(2), 60-70. https://doi.org/10.29303/jppipa.v11i2.10388

Facione, P. A. (2020). Critical thinking: What it is and why it counts. Insight Assessment. https://doi.org/10.4324/9780429198995

Finkelstein, N. D., Adams, W. K., Keller, C. J., Perkins, K. K., Wieman, C. E., & Carl E. Wieman (2005). When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment. Physical Review Special Topics - Physics Education Research, 1(1), 010103. https://doi.org/10.1103/PhysRevSTPER.1.010103

Fitriani, H., Gunawan, & Sutrio. (2021). Problem-based learning with experimental kits to enhance critical thinking skills. Jurnal Pendidikan Fisika Indonesia, 17(2), 101–109.

https://doi.org/10.15294/jpfi.v17i2.29587

Fitriani, N., Gunawan, G., & Harjono, A. (2022). Problem-based learning assisted by sensor technology to improve physics problem-solving skills. Jurnal Pendidikan Fisika Indonesia, 18(2), 123–134. https://doi.org/10.15294/jpfi.v18i2.34567

Gunawan, G., Nisrina, N., & Suranti, N. M. Y. (2023). Sensor-based physics learning to enhance critical thinking skills. International Journal of Instruction, 16(1), 345–360. https://doi.org/10.29333/iji.2023.16119a

Hallinger, P., & Chatpinyakoop, C. (2019). A Bibliometric Review of Research on Higher Education for Sustainable Development, 1998–2018. Sustainability, 11(8), 2401. https://doi.org/10.3390/su11082401

Hallinger, P., & Nguyen, V.-T. (2020). Mapping the Landscape and Structure of Research on Education for Sustainable Development: A Bibliometric Review. Sustainability, 12(5), 1947. https://doi.org/10.3390/su12051947

Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. https://doi.org/10.1023/B:EDPR.0000034022.16470.f3

Jonassen, D. H. (2021). Learning to solve problems: A handbook for designing problem-solving learning environments. Routledge. https://doi.org/10.4324/9781315142340

Kaur, S., Kumar, R., Kaur, R., Singh, S., Rani, S., & Kaur, A. (2022). Piezoelectric materials in sensors: Bibliometric and visualization analysis. Materials Today: Proceedings, 65, 3780–3786. https://doi.org/10.1016/j.matpr.2022.06.484

Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report.

Kokotsaki, D., Menzies, V., & Wiggins, A. (2021). Project-based learning: A review of the literature. Improving Schools, 24(3), 267–286. https://doi.org/10.1177/13654802211016481

Le, H. C., Nguyen, V. H., & Nguyen, T. L. (2023). Integrated STEM approaches. Education Sciences, 13(3), 297. https://doi.org/10.3390/educsci13030297

Liao, H., Tang, M., Luo, L., Li, C., Chiclana, F., & Zeng, X.-J. (2018). A Bibliometric Analysis and Visualization of Medical Big Data Research. Sustainability, 10(2), 166. https://doi.org/10.3390/su10010166

Lillian C. McDermott, Rosenquist, M. L., & van Zee, E. H. (1987). Student difficulties in connecting graphs and physics: Examples from kinematics. American Journal of Physics, 55(6), 503–513. https://doi.org/10.1119/1.15104

Maries, A., & Singh, C. (2020). Real-time data and conceptual understanding in physics labs. Physical Review Physics Education Research, 16(2), 020117. https://doi.org/10.1103/PhysRevPhysEducRes.16.020117

Maryani, M., Azizah, S. Y. N., Febrianty, W., Amri, H. A., Fuadiyah, T., Putri , M. K., & Subiki, S. (2023). Design and Development of a Physics Laboratory Tool Based on Arduino Nano Sensor for the Topic of Uniformly Accelerated Linear Motion (UALM). International Journal of Educational Sciences and Development, 1(1), 30–36. https://doi.org/10.54099/ijesd.v1i1.615

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097

Muliyadi, L. (2017). Pengaruh Model Problem Based Learning (PBL) Berbantuan Simulasi PhET Terhadap Hasil Belajar Fisika Siswa Kelas X SMA Negeri 3 Mataram Tahun Pelajaran 2015/2016. UPT. Perpustakaan Universitas Mataram.

Muliyadi, L., Doyan, A., Susilawati, Hamidi, Hakim, S., & Munandar, H. (2023). Training on Using PhET Virtual Media on Newton’s Law of Gravity for Class X Students at Islamic Senior High School of Syaikh Abdurrahman Kotaraja, East Lombok. BPI Journal of Community Service, 1(1), 15–18. Retrieved from https://journals.balaipublikasi.id/index.php/jcss/article/view/68

Nugraha, A., & Wahyudi, W. (2024). Arduino-based physics kit. Journal of Physics Education, 19(1), 33–41. https://doi.org/10.24114/jpe.v19i1.40123

Nugraha, M. G., Permanasari, A., & Suyana, I. (2022). Sensor-based laboratory learning to enhance problem-solving ability. Jurnal Pendidikan IPA Indonesia, 11(1), 85–95. https://doi.org/10.15294/jpii.v11i1.34521

OECD. (2021). 21st-century skills and STEM education. OECD Publishing. https://doi.org/10.1787/9789264501647-en

Oltarzhevskyi, D. O. (2019). Typology of contemporary corporate communication channels. Corporate Communications: An International Journal, 24(4), 608–622. https://doi.org/10.1108/CCIJ-04-2019-0046

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., & Mulrow, C. D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Pratama, H., Widodo, W., & Sudibyo, E. (2025). STEM-PjBL model for physics material learning. Jurnal Pendidikan Fisika Indonesia, 21(2), 125–138. https://doi.org/10.15294/jpfi.v21i2.23548

Rahmawati, Y., Ridwan, A., & Nurbaity, N. (2021). PBL-based physics learning to improve problem-solving skills. Cakrawala Pendidikan, 40(3), 742–754. https://doi.org/10.21831/cp.v40i3.38912

Roslina, R., Liliawati, W., & Hasanah, L. (2023). Integration of PjBL with STEM approach in physics learning. Journal of Teaching and Learning Physics, 9(2), 113–121. https://doi.org/10.15575/jotalp.v9i2.26650

Savery, J. R. (2006). Overview of problem-based learning: Definitions and distinctions. Interdisciplinary Journal of Problem-Based Learning, 1(1), 9–20. https://doi.org/10.7771/1541-5015.1002

Sitohang, H., & Tanjung, R. (2025). PBL module on linear motion. INPAFI, 13(2), 210–220. https://doi.org/10.24114/inpafi.v13i2.61636

Slamia, R., Rahayu, S., & Belawati, T. (2025). Sensor-based physics practicum. Jurnal Pendidikan MIPA, 26(1), 45–57. https://doi.org/10.23960/jpmipa.v26i1.2025

Snyder, H. (2019). Literature review as a research methodology. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Srisawasdi, N., Panjaburee, P., & Bunterm, T. (2021). Sensor-supported inquiry learning in physics. Computers & Education, 168, 104193. https://doi.org/10.1016/j.compedu.2021.104193

Suhendi, A., Purwanto, A., & Samsudin, A. (2022). Integrating PBL and experimental tools in physics learning. Journal of Science Education and Technology, 31(4), 523–536. https://doi.org/10.1007/s10956-022-09945-8

Suryani, E., & Rahayu, S. (2022). Physics learning challenges. Jurnal Pendidikan IPA Indonesia, 11(3), 403–412. https://doi.org/10.15294/jpii.v11i3.37289

Suseno, B. A., & Fauziah, E. (2020). Improving Penginyongan Literacy in Digital Era Through E-Paper Magazine of Ancas Banyumasan. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3807680

Susilawati, S., Kaniawati, I., & Rusdiana, D. (2023). Developing critical thinking through sensor-based physics experiments. Journal of Baltic Science Education, 22(2), 289–304. https://doi.org/10.33225/jbse/23.22.289

Susilawati, Doyan, A., Rokhmat, J., Muliyadi, L., Rizaldi, D. R., Fatimah, Z., Ikhsan, M., & Ardianti, N. R. (2025). Integration of Smartphone-Based Learning Media and Project-Based Learning to Enhance Creativity and Scientific Literacy in Physics. International Journal of Information and Education Technology, 15(7), 1449–1459. https://doi.org/10.18178/ijiet.2025.15.7.2346

Teodorescu, R. E., Bennhold, C., Feldman, G., & Medsker, L. (2020). New approaches to physics laboratory instruction. Physics Education, 55(6), 065012. https://doi.org/10.1088/1361-6552/aba1c5

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge. British Journal of Management, 14(3), 207–222.

https://doi.org/10.1111/1467-8551.00375

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Wieman, C., & Holmes, N. (2020). Measuring the impact of instructional labs on learning. Physical Review Physics Education Research, 16(1), 010108. https://doi.org/10.1103/PhysRevPhysEducRes.16.010108

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-0

Author Biographies

Susilawati, Universitas Mataram

Author Origin : Indonesia

Prapti Sedijani, Universitas Mataram

Author Origin : Indonesia

Jaswadi, Universitas Mataram

Author Origin : Indonesia

Syarful Annam, Universitas Negeri Makassar

Author Origin : Indonesia

Downloads

Download data is not yet available.

How to Cite

Susilawati, Sedijani, P., Jaswadi, & Annam, S. (2026). A Review: Research Trends on Development of a Sensor-Based Linear Motion Kit with Problem-Based Learning Model to Improve Problem-Solving and Critical Thinking Skills. Jurnal Penelitian Pendidikan IPA, 12(4), 80–90. https://doi.org/10.29303/jppipa.v12i4.14543