Detecting Student Misconceptions in Chemical Bonding Using a Virtual Reality-Integrated Two-Tier Multiple-Choice Instrument within an Ethnochemistry Context"
Abstract
Abstract: Two-Tier Multiple Choice Virtual Reality (TTMCVR) with ethnochemical content is used to measure the level of misconceptions and understanding of students on chemical bond materials that have good quality and tested. This development aims to test the readability and effectiveness of TTMCVR based on the results of validity and limited trials as a reference that the developed assessment is feasible to use to identify students' misconceptions and understanding of chemical bonding materials. This research method applies Research and Development (R&D) with the ADDIE model (Analysis, design, development, implementation and evaluation). This study used 18 students and 3 teachers in 3 public high schools in Surakarta. The sampling technique used purposive sampling. Data obtained in the form of instrument results include interview tests, TTMCVR assessments and open-ended questionnaires. The results showed that TTMCVR obtained validation based on aspects of context, language, and construction on the items and storyboard from 16 experts, namely 9 chemistry education lecturers from UNS, UNY and UM and 7 high school chemistry teachers in Surakarta resulting in 15 items and 16 valid storyboard indicators with Aiken index ≥ 0.73. The limited trial stage shows that TTMCVR is able to detect the level of understanding and misconceptions of students with criteria, namely understanding the concept of 26%, misconceptions 32% and not understanding 41% on ethnochemically charged chemical bonding material on ice gempol pleret. In addition, TTMCVR is classified as having a high level of readability and effectiveness as an assessment assessment from the material and media aspects of 90% from student responses and teacher responses. Therefore, it can be concluded that based on the validity and readability of TTMCVR, it is feasible to be further developed for assessment.
Keywords: chemical bonding, ethnochemistry, misconceptions, two-tier multiple choice virtual reality.
DOI: http://dx.doi.org/10.23960/jpmipa/v25i3.pp1498-1517
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Adom, D., Mensah, J. A., & Dake, D. A. (2020). Test, measurement, and evaluation: Understanding and use of the concepts in education. International Journal of Evaluation and Research in Education, 9(1), 109–119. https://doi.org/10.11591/ ijere.v9i1.20457
Adriani, D., Lubis, P., & Triono, M. (2020). Teaching material development of educational research methodology with ADDIE models. 1. https://doi.org/10.4108/eai.4-12-2019.2293793
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings, educational and psychological measurument. Educational and Psychological Measurement, 45(1), 131–142.
Aldoobie, N. (2015). ADDIE model nada. American International Journal of Contemporary Research, 5(6), 68–72.
Assem, H. D., Nartey, L., Appiah, E., & 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. https://doi.org/10.24018/ejedu.2023.4.1.551
Bruce, M. R. M., Bruce, A. E., & Walter, J. (2022). Creating representation in support of chemical reasoning to connect macroscopic and submicroscopic domains of knowledge. Journal of Chemical Education, 99(4), 1734–1746. https://doi.org/10.1021/acs.jchemed.1c00292
Butler, A. C. (2018). Multiple-choice testing in education: are the best practices for assessment also good for learning? Journal of Applied Research in Memory and Cognition, 7(3), 323–331. https://doi.org/10.1016/j.jarmac.2018.07.002
Chen, C., Liu, M., Wu, X., Yang, Q., Yao, F., Zhang, H., & Li, J. (2023). Perturbation of hydrogen bonding network plays an important role in determining antifreeze activity. The Journal of Physical Chemistry C, 127(19), 9327–9335. https://doi.org/10.1021/acs.jpcc.3c00918
Hu-Au, E. (2024). Learning abstract chemistry concepts with virtual reality: an experimental study using a vr chemistry lab and molecule simulation. Electronics, 13(16), 3197.
Humaidi, M. N., Triansyah, F. A., Sugianto, R., & Laila, A. R. N. (2023). Development of a HOTS-Leveled two-tier multiple choice (ttmc) test to measure student misconceptions in islamic studies. Assyfa Journal of Islamic Studies, 1(1), 31–40. https://doi.org/10.61650/ajis.v1i1.148
Ikhsanudin, & Subali, B. (2018). Content validity analysis of first semester formative test on biology subject for senior high school. Journal of Physics: Conference Series, 1097(1). https://doi.org/10.1088/1742-6596/1097/1/012039
Johnstone, A. H. (1993). The development of chemistry teaching: A changing response to changing demand. Journal of Chemical Education, 70(9), 701. https://doi.org/10.1021/ed070p701
Kusmaryono, I., Wijayanti, D., & Maharani, H. R. (2022). Number of response options, reliability, validity, and potential bias in the use of the likert scale education and social science research: a literature review. International Journal of Educational Methodology, 8(4), 625–637. https://doi.org/10.12973/ijem.8.4.625
Laohapornchaiphan, J., & Chenprakhon, P. (2024). A review of research on learning activities addressing the submicroscopic level in chemistry. Journal of Chemical Education, 101(11), 4552–4565. https://doi.org/10.1021/acs.jchemed.4c00156
Mardhiyyah, L., Supeno, & Z. R. Ridlo. 2022. Development of e-modules to improve scientific explanation skills in science learning for junior high school students. Jurnal Pendidikan MIPA. 23(1): 11–34.
Paragae, I. P. N. S. (2023). Innovative teaching strategies in teaching English as a foreign language. English Teaching and Linguistics Journal (ETLiJ), 4(1), 1-9.
PISA. (2022). Notas por país: México. (2024). Perfiles Educativos, 46(183), 188–202. https://doi.org/10.22201/iisue.24486167e.2024.183.61714
Rahayu, K., Wigati, I., & Astuti, R. T. (2022). Analisis kesulitan belajar siswa dalam memahami ikatan kimia. Prosiding Seminar Nasional Pendidikan Kimia 2022, 1(1), 184–194.
Rahmawati, Y., Mardiah, A., Taylor, E., Taylor, P. C., & Ridwan, A. (2023). Chemistry learning through culturally responsive transformative teaching (CRTT): educating indonesian high school students for cultural sustainability. Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086925
Reiser, P., Neubert, M., Eberhard, A., Torresi, L., Zhou, C., Shao, C., Metni, H., van Hoesel, C., Schopmans, H., Sommer, T., & Friederich, P. (2022). Graph neural networks for materials science and chemistry. Communications Materials, 3(1), 1–18. https://doi.org/10.1038/s43246-022-00315-6
Retnawati, H. (2016). Proving content validity of self-regulated learning scale (the comparison of aiken index and expanded gregory index) heri. Research and Evaluation in Education, 2(2), 155–164.
Rintayati, P., Lukitasari, H., & Syawaludin, A. (2020). Development of two-tier multiple choice test to assess indonesian elementary students’ higher-order thinking skills. International Journal of Instruction, 14(1), 555–566. https://doi.org/10.29333/IJI.2021.14133A
Sakahuni, S., & Ramadhanti, A. (2021). Perbandingan hasil belajar menggunakan tes pilihan ganda ditinjau dari kemampuan berpikir kritis siswa. Integrated Science Education Journal, 2(3), 89–93. https://doi.org/10.37251/isej.v2i3.174
Sejati, W. S., Purba, H. S., & Mahardika, A. I. (2021). Pengembangan media pembelajaran interaktif berbasis web pada pembelajaran klasifikasi materi dan perubahannya kelas vii smp dengan metode demonstrasi. Computer Science Education Journal (CSEJ), 1(2), 37–48.
Soeharto, S., & Csapó, B. (2021). Evaluating item difficulty patterns for assessing student misconceptions in science across physics, chemistry, and biology concepts. Heliyon, 7(11). https://doi.org/10.1016/j.heliyon.2021.e08352
Venessa, D. M., Hernani, & Halimatul, H. S. (2020). Pre-service chemistry teachers’ learning obstacles in understanding the relationship between the chemical structures and physicochemical properties of ionic liquids. Journal of Physics: Conference Series, 1521(4). https://doi.org/10.1088/1742-6596/1521/4/042065
Zhao, L., Pan, S., Holzmann, N., Schwerdtfeger, P., & Frenking, G. (2019). Chemical bonding and bonding models of main-group compounds. Chemical Reviews, 119(14), 8781–8845. https://doi.org/10.1021/acs.chemrev.8b00722
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