Exploring Freshmen’s Insight on Physics Measurement Uncertainty: Voices from the General Physics Course
(1) Universitas Negeri Surabaya
(*) Corresponding Author
Abstract
Since secondary school, students have always learned measurement accuracy. Understanding measurement uncertainty is crucial, as is acquiring, handling, and analyzing measurement data. This study investigates first-year students’ knowledge of measurement uncertainty in physics. This study utilized a one-group pre- and post-test design within a teacher research or self-study framework. This study involved 25 participants from an educational program at a university in East Java, Indonesia. The focus in this study was on four categories: (a) “repeated distance” (RD), (b) “using repeats” (UR), (c) “same mean different spread” (SMDS), and (d) “different mean same spread” (DMSS), based on Pollard et al.’s new codebook for the Physics Measurement Questionnaire. We observed moderate normalized gain in most of the four criteria following the lecture intervention. We also conducted a paired t-test and found statistical differences before and after the intervention. These results show freshmen struggle with understanding uncertainty in physics measurement based on their secondary schools’ experiences, highlighting the need for a learning intervention combining theory and laboratory practice. These findings underscore the importance of enhancing education for future science teachers in secondary schools.
Keywords
References
Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., Van Langen, J., & Kievit, R. A. (2021). Raincloud plots: A multi-platform tool for robust data visualization. Wellcome Open Research, 4, 63. https://doi.org/10.12688/wellcomeopenres.15191.2
Allie, S., Buffler, A., Campbell, B., & Lubben, F. (1998). First‐year physics students’ perceptions of the quality of experimental measurements. International Journal of Science Education, 20(4), 447–459. https://doi.org/10.1080/0950069980200405
Allie, S., Buffler, A., Campbell, B., Lubben, F., Evangelinos, D., Psillos, D., & Valassiades, O. (2003). Teaching measurement in the introductory physics laboratory. The Physics Teacher, 41(7), 394–401. https://doi.org/10.1119/1.1616479
Aubin, C., Bierowiec, J. C., & Saunders, J. (2024). A new unit of measurement for introductory physics lab. American Journal of Physics, 92(6), 455–458. https://doi.org/10.1119/5.0159531
Bao, L. (2006). Theoretical comparisons of average normalized gain calculations. American Journal of Physics, 74(10), 917–922. https://doi.org/10.1119/1.2213632
Benjamin, D. J., & Berger, J. O. (2019). Three recommendations for improving the use of p -values. The American Statistician, 73(sup1), 186–191. https://doi.org/10.1080/00031305.2018.1543135
Betul Cebesoy, U., & Karisan, D. (2020). Teaching the role of forests in mitigating the effects of climate change using outdoor educational workshop. Research in Science & Technological Education, 1–23. https://doi.org/10.1080/02635143.2020.1799777
Buffler, A., Allie, S., & Lubben, F. (2001). The development of first year physics students’ ideas about measurement in terms of point and set paradigms. International Journal of Science Education, 23(11), 1137–1156. https://doi.org/10.1080/09500690110039567
Carter, A. R. (2021). One hundred years later, introductory labs are poised for change. The Physics Teacher, 59(2), 97–99. https://doi.org/10.1119/10.0003460
Christman, E., Miller, P., & Stewart, J. (2024). Beyond normalized gain: Improved comparison of physics educational outcomes. Physical Review Physics Education Research, 20(1), 010123. https://doi.org/10.1103/PhysRevPhysEducRes.20.010123
Coletta, V. P., & Steinert, J. J. (2020). Why normalized gain should continue to be used in analyzing preinstruction and postinstruction scores on concept inventories. Physical Review Physics Education Research, 16(1), 010108. https://doi.org/10.1103/PhysRevPhysEducRes.16.010108
Davidson, S. G., Jaber, L. Z., & Southerland, S. A. (2022). Cultivating science teachers’ understandings of science as a discipline. Science & Education, 31(3), 657–683. https://doi.org/10.1007/s11191-021-00276-1
Dounas-Frazer, D. R., & Lewandowski, H. J. (2018). The modelling framework for experimental physics: Description, development, and applications. European Journal of Physics, 39(6), 064005. https://doi.org/10.1088/1361-6404/aae3ce
El Masri, Y. H., Erduran, S., & Ioannidou, O. (2021). Designing practical science assessments in England: Students’ engagement and perceptions. Research in Science & Technological Education, 1–21. https://doi.org/10.1080/02635143.2021.1872519
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2023). How to Design and Evaluate Research in Education. McGraw-Hill.
Ha, H., Chen, Y., & Park, J. (2024). Teacher strategies to support student navigation of uncertainty: Considering the dynamic nature of scientific uncertainty throughout phases of sensemaking. Science Education, 108(3), 890–928. https://doi.org/10.1002/sce.21857
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809
Han, C., & Xiang, J. (2024). Alignment analysis between China College Entrance Examination Physics Test and Curriculum Standard Based on E-SEC Model. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-024-10468-0
Holmes, N. G., & Lewandowski, H. J. (2020). Investigating the landscape of physics laboratory instruction across North America. Physical Review Physics Education Research, 16(2), 020162. https://doi.org/10.1103/PhysRevPhysEducRes.16.020162
Holmes, N. G., & Wieman, C. E. (2018). Introductory physics labs: We can do better. Physics Today, 71(1), 38–45. https://doi.org/10.1063/PT.3.3816
Inan, H. Z., & Inan, T. (2015). 3 H s Education: Examining hands-on, heads-on and hearts-on early childhood science education. International Journal of Science Education, 37(12), 1974–1991. https://doi.org/10.1080/09500693.2015.1060369
Kota, S. D., Cornish, S., & Sharma, M. D. (2019). Switched on! Student and teacher engagement in an electricity practical. Physics Education, 54(1), 015007. https://doi.org/10.1088/1361-6552/aadeee
Kuang, X., Eysink, T. H. S., & Jong, T. (2020). Effects of providing partial hypotheses as a support for simulation‐based inquiry learning. Journal of Computer Assisted Learning, 36(4), 487–501. https://doi.org/10.1111/jcal.12415
Lee, G.-G., & Hong, H.-G. (2024). Development and validation of the blended laboratory and e-learning instructional design (BLEND) model for university remote laboratory sessions: Responding to the COVID-19 pandemic and planning for the future. Educational Technology Research and Development, 72(2), 1025–1065. https://doi.org/10.1007/s11423-023-10327-9
Lu, C., Liu, Y., Xu, S., Zhou, S., Mei, H., Zhang, X., Yang, L., & Bao, L. (2023). Conceptual framework assessment of knowledge integration in student learning of measurement uncertainty. Physical Review Physics Education Research, 19(2), 020145. https://doi.org/10.1103/PhysRevPhysEducRes.19.020145
Mandavgade, N. K., Jaju, S. B., Lakhe, R. R., & Tidke, D. J. (2012). Need and difficulties in uncertainty of measurement. International Journal of Measurement Technologies and Instrumentation Engineering, 2(3), 23–33. https://doi.org/10.4018/ijmtie.2012070103
Mutlu, A. (2020). Evaluation of students’ scientific process skills through reflective worksheets in the inquiry-based learning environments. Reflective Practice, 21(2), 271–286. https://doi.org/10.1080/14623943.2020.1736999
Penn, M., & Ramnarain, U. (2022). South African Grade 12 science students’ understandings of scientific inquiry. Science & Education, 31(3), 635–656. https://doi.org/10.1007/s11191-021-00259-2
PhysPort Assessments: Physics Measurement Questionnaire. (n.d.). PhysPort. Retrieved October 8, 2024, from https://www.physport.org/assessments/assessment.cfm?A=PMQ
Pollard, B., Hobbs, R., Dounas-Frazer, D. R., & Lewandowski, H. J. (2020, January 13). Methodological development of a new coding scheme for an established assessment on measurement uncertainty in laboratory courses. 2019 Physics Education Research Conference Proceedings. 2019 Physics Education Research Conference, Provo, UT. https://doi.org/10.1119/perc.2019.pr.Pollard
Pollard, B., Werth, A., Hobbs, R., & Lewandowski, H. J. (2020). Impact of a course transformation on students’ reasoning about measurement uncertainty. Physical Review Physics Education Research, 16(2), 020160. https://doi.org/10.1103/PhysRevPhysEducRes.16.020160
Sellke, T., Bayarri, M. J., & Berger, J. O. (2001). Calibration of ρ values for testing precise null hypotheses. The American Statistician, 55(1), 62–71. https://doi.org/10.1198/000313001300339950
Smith, E. M., & Holmes, N. G. (2021). Best practice for instructional labs. Nature Physics, 17(6), 662–663. https://doi.org/10.1038/s41567-021-01256-6
Soysal, Y. (2022). Middle school science teachers’ discursive purposes and talk moves in supporting students’ experiments. Science & Education, 31(3), 739–785. https://doi.org/10.1007/s11191-021-00266-3
Sulaiman, N., Werth, A., & Lewandowski, H. J. (2023). Students’ views about experimental physics in a large-enrollment introductory lab focused on experimental scientific practices. Physical Review Physics Education Research, 19(1), 010116. https://doi.org/10.1103/PhysRevPhysEducRes.19.010116
Tang, X., Shu, G., Wei, B., & Levin, D. (2024). Emergent learning about measurement and uncertainty in an inquiry context: A case from an elementary classroom. Science Education, 108(1), 308–331. https://doi.org/10.1002/sce.21837
Thomas Becker, M. H., Heidemann, L. A., & Lima, N. W. (2024). History of science in physics education in the last decade: Which direction we are heading? Science & Education. https://doi.org/10.1007/s11191-024-00537-9
Tran, T.-B., van den Berg, E., Ellermeijer, T., & Beishuizen, J. (2018). Learning to teach inquiry with ICT. Physics Education, 53(1), 015003. https://doi.org/10.1088/1361-6552/aa8a4f
Vignal, M., Geschwind, G., Pollard, B., Henderson, R., Caballero, M. D., & Lewandowski, H. J. (2023). Survey of physics reasoning on uncertainty concepts in experiments: An assessment of measurement uncertainty for introductory physics labs. Physical Review Physics Education Research, 19(2), 020139. https://doi.org/10.1103/PhysRevPhysEducRes.19.020139
Walsh, C., Quinn, K. N., Wieman, C., & Holmes, N. G. (2019). Quantifying critical thinking: Development and validation of the physics lab inventory of critical thinking. Physical Review Physics Education Research, 15(1), 010135. https://doi.org/10.1103/PhysRevPhysEducRes.15.010135
Wan, T. (2023). Investigating student reasoning about measurement uncertainty and ability to draw conclusions from measurement data in inquiry-based university physics labs. International Journal of Science Education, 45(3), 223–243. https://doi.org/10.1080/09500693.2022.2156824
Wei, B., Jiang, Z., & Gai, L. (2022). Examining the nature of practical work in school science textbooks: Coverage of the diversity of scientific methods. Science & Education, 31(4), 943–960. https://doi.org/10.1007/s11191-021-00294-z
Wei, R., Hu, Y., & Xiong, J. (2019). Effect size reporting practices in applied linguistics research: A study of one major journal. SAGE Open, 9(2), 215824401985003. https://doi.org/10.1177/2158244019850035
Werth, A., Pollard, B., Hobbs, R., & Lewandowski, H. J. (2023). Investigating changes in student views of measurement uncertainty in an introductory physics lab course using clustering algorithms. Physical Review Physics Education Research, 19(2), 020146. https://doi.org/10.1103/PhysRevPhysEducRes.19.020146
Werth, A., West, C. G., Sulaiman, N., & Lewandowski, H. J. (2023). Enhancing students’ views of experimental physics through a course-based undergraduate research experience. Physical Review Physics Education Research, 19(2), 020151. https://doi.org/10.1103/PhysRevPhysEducRes.19.020151
Wilcox, B. R., & Lewandowski, H. J. (2017). Developing skills versus reinforcing concepts in physics labs: Insight from a survey of students’ beliefs about experimental physics. Physical Review Physics Education Research, 13(1), 010108. https://doi.org/10.1103/PhysRevPhysEducRes.13.010108
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., Da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18
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