Research Trend on Newton’s Law Misconceptions from Scopus Database using Bibliometric

Lalu Ahmad Didik Meiliyadi, Kurniawan Arizona, Muh. Wahyudi, Isniwana Damayanti

Abstract


The purpose of this study is to present the development of research on the topic of student misconceptions of Newton's law. The database was obtained through the Scopus website for 10 periods (2015-2024). The data search resulted in 59 relevant research articles. The results showed that the development of misconception research on Newton's law has not been widely carried out, as shown by the average publication of 5.9 articles per year. The development of misconception research on Newton's law is most popular in 2020, where the COVID-19 pandemic forces learning to be done online, increasing the potential for misconceptions in learning. There are 6 clusters resulting from data visualization analysis. The country that produced the most articles about misconceptions in Newton's law came from Indonesia, with the affiliation that produced the most research articles on Newton's law misconceptions published in the most Scopus-indexed journals coming from the Indonesian Education University. The published articles are mostly journal articles and international conference proceedings. The visualization results using VOSviewer show that there are still many opportunities in the future for misconception research on Newton's law. Through this study, there is an overview for researchers to get research updates on student misconceptions research on Newton's law.


Keywords


Bibliometric; Misconceptions; Newton’s law; Research trend; Scopus database

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References


Abdikadyr, B., Ualikhanova, B., Berdaliyev, D., Issayeva, G., and Maxutov, S. (2025). Reducing gender gaps in physics achievement: The role of constructivist methods. European Journal of Science and Mathematics Education, 13(2), 58-76.

Adams, D. M., Pilegard, C., and Mayer, R. E. (2016). Evaluating the cognitive consequences of playing Portal for a short duration. Journal of Educational Computing Research, 54(2), 173-195.

Adilah, N., Ngazizah, N., and Nurhidayati, N. (2025). Analysis of causes and strategies to reduce student misconceptions in science subjects at elementary school. Journal of Research in Instructional, 5(1), 225-245.

Admoko, D. A., Darmawan, B., Ana, A., and Dwiyanti, V. (2024). A cluster-based bibliometric analysis of the emerging technological landscape in logistics using Vosviewer. Education, 8, 25.

Amiruddin, M. Z., Samsudin, A., Suhandi, A., and Costu, B. (2025). An analysis of first years senior high school students' mental models: a case study on the concept of straight motion. Journal of Education and Learning (EduLearn), 19(1), 249-256.

Archila, P. A., Restrepo, S., Truscott de Mejía, A. M., and Molina, J. (2024). STEM and non-STEM misconceptions about evolution: findings from 5 years of data. Science & Education, 33(5), 1211-1229.

Assem, H. D., Nartey, L., Appiah, E., and Aidoo, J. K. (2023). A review of students’ academic performance in physics: Attitude, instructional methods, misconceptions and teachers qualification. European Journal of Education and Pedagogy, 4(1), 84-92.

Atasoy, Ş., and Ergin, S. (2017). The effect of concept cartoon-embedded worksheets on grade 9 students’ conceptual understanding of Newton’s Laws of Motion. Research in Science & Technological Education, 35(1), 58-73.

Aviani, I., Erceg, N., and Mešić, V. (2015). Drawing and using free body diagrams: Why it may be better not to decompose forces. Physical Review Special Topics—Physics Education Research, 11(2), 020137.

Azzahra, A. N., and Kartikawati, E. (2023). Misconception analysis of biology education students using diagnostic three tier test on genetics material. Proceedings Series on Social Sciences & Humanities, 13, 200-207.

Bao, L., and Fritchman, J. C. (2021). Knowledge integration in student learning of Newton’s third law: Addressing the action-reaction language and the implied causality. Physical Review Physics Education Research, 17(2), 020116.

Batlolona, J. R., and Jamaludin, J. (2024). Students' misconceptions on the concept of sound: a case study about Marinyo, Tanimbar Islands. Journal of Education and Learning (EduLearn), 18(3), 681-689.

Cowie, A. L., Berndes, G., Bentsen, N. S., Brandão, M., Cherubini, F., Egnell, G., and Ximenes, F. A. (2021). Applying a science‐based systems perspective to dispel misconceptions about climate effects of forest bioenergy. GCB Bioenergy, 13(8), 1210-1231.

Danielson, R. W., Jacobson, N. G., Patall, E. A., Sinatra, G. M., Adesope, O. O., Kennedy, A. A., and Sunday, O. J. (2025). The effectiveness of refutation text in confronting scientific misconceptions: A meta-analysis. Educational Psychologist, 60(1), 23-47.

de Faria, A. D. S. R., da Silveira, M. V., and dos Santos, A. C. F. (2025). A bibliographic review of the difficulties related to the topics of mechanics. Journal of Environment and Sustainability Education, 3(1), 50-61.

Diati, L. S., Fadhilah, F., Giatman, M., and Irfan, D. (2025). Global research on emerging mobile learning for senior high school students: A bibliometric approach. Jurnal Penelitian Pendidikan IPA, 11(2), 19-29.

Diyana, T. N., and Sutopo, S. (2024). Enhancing students' conceptual understanding of newton's law with conceptual problem-solving learning: An experimental study. International Journal of Education and Teaching Zone, 3(3), 234-245.

Fakhriyah, F., and Masfuah, S. (2021). The development of a four tier-based diagnostic test diagnostic assessment on a science concept course. In Journal of Physics: Conference Series, 1842(1), 012069.

Farokhah, L., Herman, T., Wahyudin, W., and Abidin, Z. (2024). Global research trends of mathematics literacy in elementary school: A bibliometric analysis. Indonesian Journal of Educational Research and Technology, 4(3), 279-290.

Fratiwi, N. J., Samsudin, A., Ramalis, T. R., Saregar, A., Diani, R., and Ravanis, K. (2020). Developing memori on newton's laws: For identifying students' mental models. European Journal of Educational Research, 9(2), 699-708.

Gasana, J. C., Nkundabakura, P., Nsengimana, T., Habimana, O., Nyirahabimana, P., and Nsabayezu, E. (2024). Effect of robotics-enhanced project-based learning approach on students' conceptual understanding and motivation in linear motion in physics in selected Rwandan Secondary schools. Education and Information Technologies, 29(10), 12435-12456.

Guerra-Reyes, F., Guerra-Dávila, E., Naranjo-Toro, M., Basantes-Andrade, A., and Guevara-Betancourt, S. (2024). Misconceptions in the learning of natural sciences: A systematic review. Education Sciences, 14(5), 497.

Imaniyati, N., Ramdhany, M. A., Hadijah, H. S., Nurjanah, S., and Santoso, B. (2025). The role of information and communication technology in increasing work creativity through transformational leadership between generation x and y employees: A bibliometric analysis using publish or perish. Journal of Advanced Research in Applied Sciences and Engineering Technology, 52(2), 35-56.

Irfandi, I., Murwindra, R., Musdansi, D. P., and Hanri, C. (2022). Identification and Analysis of Students' Misconceptions Using Three-Tier Multiple Choice Diagnostic Instruments on Thermochemistry Topic. International Journal of Education and Curriculum Application, 5(3), 306-316.

Kahaleh, R., and Lopez, V. (2025). Evaluating large language models in high school physics education: addressing misconceptions and fostering conceptual understanding. Physics Education, 60(2), 025013.

Kanıawatı, I., Fratıwı, N. J., Danawan, A., Suyana, I., Samsudın, A., and Suhendı, E. (2019). Analyzing students’ misconceptions about Newton’s laws through four-tier Newtonian test (FTNT). Journal of Turkish Science Education, 16(1), 110-122.

Kongsaenkham, A., and Chano, J. (2024). Bibliometric analysis using VOSviewer with Publish or perish of role-play in the teaching and learning. Indonesian Journal of Educational Research and Technology, 4(3), 271-278.

Kotsis, K. T. (2024). Correcting students' misconceptions in physics using experiments designed by ChatGPT. European Journal of Contemporary Education and E-Learning, 2(2), 83-100.

Laeli, C. M. A. H. (2023). The 3 tiers multiple-choice diagnostic test for primary students' science misconception. Pegem Journal of Education and Instruction, 13(2), 103-111.

Maharani, L., Rahayu, D. I., Amaliah, E., Rahayu, R., and Saregar, A. (2019). Diagnostic test with four-tier in physics learning: Case of misconception in Newton’s Law material. In Journal of Physics: Conference Series, 1155(1), 012022).

Maryani, W. I., and Atmojo, I. R. W. (2024). Misconceptions of science learning on force and motion material for elementary school. Jurnal Ilmiah Pendidikan Dasar, 11(2), 219-231.

Mufit, F., and Fauzan, A. (2023). The effect of cognitive conflict-based learning (CCBL) model on remediation of misconceptions. Journal of Turkish Science Education, 20(1), 26-49.

Mukramah, W. A. N., Halim, A., Winarni, S., Jannah, M., and Wahyuni, A. (2023). The effect of using comic-based e-module assisted by the flipbook maker for remediation of newton’ s law misconceptions. Jurnal Penelitian Pendidikan IPA, 9(8), 6384-6392.

Mustofa, H. A., Zain, Z. A., Tsania, H., Azman, M. N. A., Marmoah, S., and Masfuah, S. (2024). Analysis of student conceptions based on cognitive style on newton law understandings. Jurnal Pendidikan IPA Indonesia, 13(2), 301-312.

Nandiyanto, A. B. D., Al Husaeni, D. F., and Al Husaeni, D. N. (2025). Introducing indonesian journal of educational research and technology: A bibliometric analysis study. Journal of Advanced Research Design, 124(1), 1-20.

Ningroom, R. A. A., Yamtinah, S., and Riyadi, R. (2025). A two-tier multiple-choice diagnostic test to find student misconceptions about the change of matter. Journal of Education and Learning (EduLearn), 19(2), 1144-1156.

Nithideechaiwarachok, B., and Chano, J. (2025). Bibliometric analysis using vosviewer with publish or perish of pre-service english teachers research. Indonesian Journal of Educational Research and Technology, 5(1), 1-8.

Ojo, A.T. (2024). Examination of secondary school students' conceptual understanding, perceptions, and misconceptions about genetics concepts. Indonesian Journal of Multidiciplinary Research, 4(1), 213-226.

Oktarisa, Y., Utami, I. S., and Denny, Y. R. (2017, February). Detecting and reducing science teacher candidate’s (STC) misconception about motion and force by using force concept inventory (FCI) and problem based learning (PBL). In Journal of Physics: Conference Series, 812(1), 012043).

Pardiyanto, E., and Winarti, W. (2021). Generative learning strategy assisted by flash animation to remediate students’ misconceptions on newton’s law of gravity. Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education), 9(2), 201-216.

Pujayanto, P. (2018). Developing four tier misconception diagnostic test about kinematics. Cakrawala Pendidikan, (2), 260509.

Putri, S.R., Hofifah, S.N., Girsang, G.C.S., and Nandiyanto, A.B.D. (2022). How to identify misconception using certainty of response index (CRI): A study case of mathematical chemistry subject by experimental demonstration of adsorption. Indonesian Journal of Multidiciplinary Research, 2(1), 143-158.

Resbiantoro, G., and Setiani, R. (2022). A review of misconception in physics: the diagnosis, causes, and remediation. Journal of Turkish Science Education, 19(2), 403-427.

Ridwana, R. R., Kamal, M., Arjasakusuma, S., Sugandi, D., and Sakti, A. D. (2024). Bibliometric computation mapping analysis of publication machine and deep learning for food crops mapping using VOSviewer. Journal of Advanced Research in Applied Sciences and Engineering Technology, 50(2), 42-59.

Rohimah, S. M. (2025). Bibliometric analysis using Vosviewer with Publish or Perish of mathematical proficiency. Indonesian Journal of Educational Research and Technology, 5(1), 9-18.

Rusilowati, A., Susanti, R., Sulistyaningsing, T., Asih, T. S. N., Fiona, E., and Aryani, A. (2021, June). Identify misconception with multiple choice three tier diagnostik test on newton law material. In Journal of Physics: Conference Series, 1918(5), 052058.

Samsudin, A., Fratiwi, N. J., Kaniawati, I., Suhendi, E., Hermita, N., Suhandi, A., and Supriyatman, S. (2017). Alleviating students’ misconceptions about newton’s first law through comparing Pdeode* e tasks and POE tasks: Which is more effective. The Turkish Online Journal of Educational Technology, 2017, 215-221.

Sari, D. N., Arif, K., Yurnetti, Y., and Putri, A. N. (2024). Identification of students' misconceptions in junior high schools accredited a using the three tier test instrument in science learning. Jurnal Penelitian Pendidikan IPA, 10(1), 1-11.

Sari, N., and Ilyas, S. (2020, February). The implementation of problem-based learning modules to decrease misconception on Newton’s law topic. In Journal of Physics: Conference Series, 1460(1), 012137.

Soeharto, S., and Csapó, B. (2021). Evaluating item difficulty patterns for assessing student misconceptions in science across physics, chemistry, and biology concepts. Heliyon, 7(11), e08352.

Solihat, A.N., Dahlan, D., Kusnendi, K., Susetyo, B., and Al Obaidi, A.S.M. (2024). Artificial intelligence (AI)-based learning media: Definition, bibliometric, classification, and issues for enhancing creative thinking in education. ASEAN Journal of Science and Engineering, 4(3), 349-382.

Solviana, M. D., Oktamalia, M., and Novitasari, A. (2024). Development of PjBL based interactive e-modules with a scientific approach in remediating misconceptions in biology subjects. In E3S Web of Conferences, 482, 04017.

Suhandi, A., Samsudin, A., Fratiwi, N. J., Nurdini, N., Feranie, S., Purwanto, M. G., and Coştu, B. (2025). Altering Misconceptions: How e-Rebuttal Texts on Newton's Laws Reconstructs Students' Mental Models. In Frontiers in Education, 10, 1472385.

Suwasono, P., Pramono, N. A., Handayanto, S. K., and Saniso, E. (2023). Misconceptions reduction of Newton’s laws through contextualization of problems in PBL. In AIP Conference Proceedings, 2569(1), 050002.

Suwasono, P., Pramono, N. A., Handayanto, S. K., and Saniso, E. (2023, January). Misconceptions reduction of Newton’s laws through contextualization of problems in PBL. In AIP Conference Proceedings, 2569(1), 050002.

Wijaya, H. (2025). Systematic literature review on string matching algorithms to analyze research trends using Vosviewer. Journal of Artificial Intelligence and Software Engineering, 5(1), 322-331.

Zafrullah, Z., and Ramadhani, A. M. (2024). The use of mobile learning in schools as a learning media: Bibliometric analysis. Indonesian Journal of Educational Research and Technology, 4(2), 187-202.

Zhou, S., Wang, Y., and Zhang, C. (2016). Pre-service science teachers’ PCK: Inconsistency of pre-service teachers’ predictions and student learning difficulties in Newton’s third law. Eurasia Journal of Mathematics, Science and Technology Education, 12(3), 373-385.




DOI: https://doi.org/10.17509/ijert.v5i3.88015

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