Improving the Effectiveness of Physics Homework: A Minds-on Simulation-Based Approach

Vanes Mešić 1 * , Aida Jusko 2, Bojana Beatović 1, Amina Fetahović-Hrvat 3
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1 University of Sarajevo, Faculty of Science, BOSNIA AND HERZEGOVINA
2 Third Gymnasium Sarajevo, BOSNIA AND HERZEGOVINA
3 Medical High School Sarajevo, BOSNIA AND HERZEGOVINA
* Corresponding Author
EUR J SCI MATH ED, Volume 10, Issue 1, pp. 34-49. https://doi.org/10.30935/scimath/11383
Published: 26 November 2021
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ABSTRACT

Students spend much time in doing their physics homework. Whether this effort results in deep learning depends on the quality of the mere homework. Therefore, we designed a minds-on simulation-based approach to physics homework and conducted a pretest-posttest quasi-experiment to compare its effectiveness to the effectiveness of traditional homework. Our student sample consisted of 39 first year high-school students from Bosnia and Herzegovina. In two school hours, all students received the same lectures about gas laws. Next, the experimental group students solved simulation-based homework in which their planning of actions, execution of actions and self-reflection was supported by a carefully prepared worksheet and survey. The traditional group’s homework consisted of three textbook problems and covered the same content, which is gas laws. Through analysis of covariance it was shown that the minds-on simulation-based homework was significantly more effective in developing students’ understanding of gas laws than traditional homework. The experimental group students perceived the simulation-based homework as interesting, challenging and useful.

CITATION

Mešić, V., Jusko, A., Beatović, B., & Fetahović-Hrvat, A. (2022). Improving the Effectiveness of Physics Homework: A Minds-on Simulation-Based Approach. European Journal of Science and Mathematics Education, 10(1), 34-49. https://doi.org/10.30935/scimath/11383

REFERENCES

  • Adams, W. K., Armstrong, Z., & Galovich, C. (2015). Can students learn from PhET sims at home, alone? In A. Churukian, D. Jones, & L. Ding (Eds.), Proceedings of Physics Education Research (PER) Conference on Critical Examination of Laboratory-Centered Instruction and Experimental Research in Physics Education (pp. 23-26). AAPT. https://doi.org/10.1119/perc.2015.pr.001
  • Adams, W. K., Paulson, A., & Wieman, C. E. (2008). What levels of guidance promote engaged exploration with interactive simulations?. In H. Charles, S. Mel, H. Leon (Eds.), AIP conference proceedings (Vol. 1064, No. 1, pp. 59-62). American Institute of Physics Press. https://doi.org/10.1063/1.3021273
  • Adams, W. K., Reid, S., LeMaster, R., McKagan, S. B., Perkins, K. K., Dubson, M., & Wieman, C. E. (2008). A study of educational simulations part I-Engagement and learning. Journal of Interactive Learning Research, 19(3), 397-419.
  • Arons, A.B. (1997). Teaching Introductory Physics. John Wiley & Sons.
  • Ary, D., Jacobs, L. C., Razavieh, A., & Sorensen, C. K. (2009). Introduction to research in education. Cengage Learning.
  • Banks, J., Carson, J. S., Nelson, B. L., & Nicole, D. M. (2010). Discrete-Event System Simulation. Prentice Hall.
  • Bao, L., Stonebraker, S. R., & Sadaghiani, H. (2008). A flexible homework method. American Journal of Physics, 76(9), 878-881. https://doi.org/10.1119/1.2955791
  • Bowling, A. (2005). Techniques of questionnaire design. In A. Bowling & S. Ebrahim (Eds.), Handbook of health research methods: Investigation, measurement and analysis (pp. 394-428). Open University Press.
  • Chamberlain, J. M., Lancaster, K., Parson, R., & Perkins, K. K. (2014). How guidance affects student engagement with an interactive simulation. Chemistry Education Research and Practice, 15(4), 628-638. https://doi.org/10.1039/C4RP00009A
  • Chang, K. E., Chen, Y. L., Lin, H. Y., & Sung, Y. T. (2008). Effects of learning support in simulation-based physics learning. Computers & Education, 51(4), 1486-1498. https://doi.org/10.1016/j.compedu.2008.01.007
  • Cheng, K. K., Thacker, B. A., Cardenas, R. L., & Crouch, C. (2004). Using an online homework system enhances students’ learning of physics concepts in an introductory physics course. American Journal of Physics, 72(11), 1447-1453. https://doi.org/10.1119/1.1768555
  • Čolić, A., Mehurić, B. (2000). Zadaci i ogledi iz fizike za 1.razred tehničkih i srodnih škola [Physics problems and experiments for first year of technical and related schools]. Harlo-graf.
  • Cooper, H. (1989). Homework. Longman. https://doi.org/10.1037/11578-000
  • Cooper, H., Robinson, J. C., & Patall, E. A. (2006). Does homework improve academic achievement? A synthesis of research, 1987–2003. Review of Educational Research, 76(1), 1-62. https://doi.org/10.3102/00346543076001001
  • de Berg, K. C. (1992). Student’s thinking in relation to pressure-volume changes of a fixed amount of air: the semi-quantitative context. International Journal of Science Education, 14, 295-303. https://doi.org/10.1080/0950069920140306
  • Dervić, D., Glamočić, D. S., Gazibegović-Busuladžić, A., & Mešić, V. (2018). Teaching physics with simulations: Teacher-centered versus student-centered approaches. Journal of Baltic Science Education, 17(2), 288-299. https://doi.org/10.33225/jbse/18.17.288
  • Dettmers, S., Trautwein, U., Lüdtke, O., Kunter, M., & Baumert, J. (2010). Homework works if homework quality is high: using multilevel modeling to predict the development of achievement in mathematics. Journal of Educational Psychology, 102(2), 467-482. https://doi.org/10.1037/a0018453
  • Falloon, G. (2020). From simulations to real: Investigating young students’ learning and transfer from simulations to real tasks. British Journal of Educational Technology, 51(3), 778-797. https://doi.org/10.1111/bjet.12885
  • Field, A. (2009). Discovering statistics using SPSS. Sage publications.
  • Flunger, B., Trautwein, U., Nagengast, B., Lüdtke, O., Niggli, A., & Schnyder, I. (2017). A person-centered approach to homework behavior: Students’ characteristics predict their homework learning type. Contemporary Educational Psychology, 48, 1-15. https://doi.org/10.1016/j.cedpsych.2016.07.002
  • Kim, E., & Pak, S. J. (2002). Students do not overcome conceptual difficulties after solving 1000 traditional problems. American Journal of Physics, 70(7), 759-765. https://doi.org/10.1119/1.1484151
  • Kim, M. C., & Hannafin, M. J. (2011). Scaffolding problem solving in technology-enhanced learning environments (TELEs): Bridging research and theory with practice. Computers & Education, 56(2), 403-417. https://doi.org/10.1016/j.compedu.2010.08.024
  • Knight, R. (2013). Instructor’s guide for physics for scientists and engineers: A strategic approach (3rd ed., Chapter 18). Pearson.
  • Lin, X., & Lehman, J. D. (1999). Supporting learning of variable control in a computer‐based biology environment: Effects of prompting college students to reflect on their own thinking. Journal of Research in Science Teaching, 36(7), 837-858. https://doi.org/10.1002/(SICI)1098-2736(199909)36:7<837::AID-TEA6>3.0.CO;2-U
  • Matheson, G. J. (2019). We need to talk about reliability: making better use of test-retest studies for study design and interpretation. PeerJ, 7, e6918. https://doi.org/10.7717/peerj.6918
  • Mayer, R. (2009). Multimedia Learning (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511811678
  • Mešić, V., Dervić, D., Gazibegović-Busuladžić, A., Salibašić, D., & Erceg, N. (2015). Comparing the Impact of Dynamic and Static Media on Students’ Learning of One-Dimensional Kinematics. Eurasia Journal of Mathematics, Science and Technology Education, 11(5), 1119-1140. https://doi.org/10.12973/eurasia.2015.1385a
  • Miller, K., Callaghan, K., McCarty, L. S., & Deslauriers, L. (2021). Increasing the effectiveness of active learning using deliberate practice: A homework transformation. Physical Review Physics Education Research, 17(1), 010129. https://doi.org/10.1103/PhysRevPhysEducRes.17.010129
  • Moore, E. B., Herzog, T. A., & Perkins, K. K. (2013). Interactive simulations as implicit support for guided-inquiry. Chemistry Education Research and Practice, 14(3), 257-268. https://doi.org/10.1039/C3RP20157K
  • Moore, E. B., Mäeots, M., & Smyrnaiou, Z. (2016). Scaffolding for inquiry learning in computer-based learning environments. In M. Riopel & Z. Smyrnaiou (Eds.), New developments in science and technology education (pp. 87-95). Springer. https://doi.org/10.1007/978-3-319-22933-1_9
  • Moser, S., Zumbach, J. & Deibl, I. (2017). The effect of metacognitive training and prompting on learning success in simulation-based physics learning. Science Education, 101, 944-967. https://doi.org/10.1002/sce.21295
  • Pallant, J. (2010). SPSS survival manual. Open University Press.
  • Pathare, S. R., & Pradhan, H. C. (2010). Students’ misconceptions about heat transfer mechanisms and elementary kinetic theory. Physics Education, 45(6), 629-634. https://doi.org/10.1088/0031-9120/45/6/008
  • Roll, I., Butler, D., Yee, N., Welsh, A., Perez, S., Briseno, A., Perkins, K., & Bonn, D. (2018). Understanding the impact of guiding inquiry: The relationship between directive support, student attributes, and transfer of knowledge, attitudes, and behaviours in inquiry learning. Instructional Science, 46(1), 77-104. https://doi.org/10.1007/s11251-017-9437-x
  • Rosário, P., Núñez, J. C., Vallejo, G., Nunes, T., Cunha, J., Fuentes, S., & Valle, A. (2018). Homework purposes, homework behaviors, and academic achievement. Examining the mediating role of students’ perceived homework quality. Contemporary Educational Psychology, 53, 168-180. https://doi.org/10.1016/j.cedpsych.2018.04.001
  • So, W. W. M., Chen, Y., & Wan, Z. H. (2019). Multimedia e-learning and self-regulated science learning: A study of primary school learners’ experiences and perceptions. Journal of Science Education and Technology, 28(5), 508-522. https://doi.org/10.1007/s10956-019-09782-y
  • Tas, Y., Sungur, S., & Oztekin, C. (2016). Development and validation of science homework scale for middle-school students. International Journal of Science and Mathematics Education, 14(3), 417-444. https://doi.org/10.1007/s10763-014-9582-5
  • Trautwein, U., Lüdtke, O., Schnyder, I., & Niggli, A. (2006). Predicting homework effort: support for a domain-specific, multilevel homework model. Journal of Educational Psychology, 98(2), 438-456. https://doi.org/10.1037/0022-0663.98.2.438
  • Van Voorhis, F. L. (2001). Interactive science homework: An experiment in home and school connections. Nassp Bulletin, 85(627), 20-32. https://doi.org/10.1177/019263650108562703
  • Vidak, A., Odžak, S., & Mešić, V. (2019). Teaching about thermal expansion: investigating the effectiveness of a cognitive bridging approach. Research in Science & Technological Education, 37(3), 324-345. https://doi.org/10.1080/02635143.2018.1551200
  • Wong, J., Baars, M., de Koning, B. B., & Paas, F. (2021). Examining the use of prompts to facilitate self-regulated learning in Massive Open Online Courses. Computers in Human Behavior, 115, 106596. https://doi.org/10.1016/j.chb.2020.106596
  • Xu, J. (2016). A study of the validity and reliability of the teacher homework involvement scale: A psychometric evaluation. Measurement, 93, 102-107. https://doi.org/10.1016/j.measurement.2016.07.012
  • Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 299-315). Routledge.