The Use of PhET Simulations in Evaluating Students’ Level of Cognitive Skills Utilizing Solo Taxonomy

Authors

DOI:

https://doi.org/10.60027/jelr.2025.1259

Keywords:

Academic Achievement; , SOLO Framework; , Cognitive Skills

Abstract

Background and Aims: Science is frequently regarded as crucial due to its links to technology and industry, which, from a national viewpoint, may be one of the areas of high priority for research, innovation and development.  As digital technology emerges as a key strategy in education, this study aims to explore the effectiveness of PhET Simulations on the Grade 8 students' cognitive skills in learning essential topics in force and motion.

Methodology: The study used a mixed-methods approach, combining a quasi-experimental design with a one-group pretest-posttest for quantitative data and a sequential exploratory design for qualitative insights. The study focused on how PhET Simulations in science teaching influenced the students' cognitive skills. Qualitative data gathered through students' feedback and perceptions were analyzed using thematic analysis.

Results: Findings revealed a significant improvement in the student's cognitive skills, with a shift from a prestructural level (mean score 1.51) to a multistructural level (mean score 3.64) in the first trial and from a prestructural level (mean score 1.20) to a multistructural level (mean score 3.92) in the second trial. Statistical analysis confirmed these improvements with a significant p-value below 0.05. These results highlight the effectiveness of PhET Simulations in science education, showing that with the right tools and approaches, students can significantly advance their understanding and develop cognitive skills.

Conclusion: It was concluded that PhET Simulation is an effective tool for developing cognitive skills, thus highlighting notable progress in understanding complex concepts, increased curiosity and exploration, and boosted game-based features. While challenges such as limited access to technology, outdated versions of the gadget's OS, difficulty navigating the simulations, and the need for foundational knowledge were identified, addressing these issues could unlock the full potential of simulation, making it a highly effective tool that fosters deeper learning.

References

Agustinsa, R., Muchlis, E. E., & Maizora, S. (2021). Level of student understanding in solving geometry problems based on a taxonomy of SOLO (Structure of Observed Learning Outcomes). In Journal of Physics: Conference Series. 1731 (1),012055. IOP Publishing. https://doi.org/10.1088/1742-6596/1731/1/012055 DOI: https://doi.org/10.1088/1742-6596/1731/1/012055

Antonio, R. P., & Castro, R. R. (2023). Effectiveness of virtual simulations in improving secondary students’ achievement in physics: A meta-analysis. International Journal of Instruction, 16(2), 533-556. https://doi.org/10.29333/iji.2023.16229a DOI: https://doi.org/10.29333/iji.2023.16229a

Ardisa, I., Verawati, N. N. S. P., Gunawan, G., & Ayub, S. (2022). The Effect of PhET Simulation-Assisted Guided Inquiry Learning Model on Students' Critical Thinking Ability in Elasticity Material. Jurnal Pendidikan Fisika Dan Teknologi, 8(2), 262-269. DOI: https://doi.org/10.29303/jpft.v8i2.4391

Asari, Slamet & Husniah, Rohmy & ma'rifah, Ulfatul & Anwar, Khoirul. (2019). Fostering Students’ High Order Thinking Skills through the Use of Interpretation Cards. International Journal of Education and Literacy Studies. 7, 17. http://dx.doi.org/10.7575/aiac.ijels.v.7n.4p.17 DOI: https://doi.org/10.7575/aiac.ijels.v.7n.4p.17

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 DOI: https://doi.org/10.24018/ejedu.2023.4.1.551

Banda, H. J., & Nzabahimana, J. (2023). The impact of physics education technology (PhET) interactive simulation-based learning on motivation and academic achievement among malawian physics students. Journal of Science Education and Technology, 32(1), 127-141. https://doi.org/10.1007/s10956-022-10010-3 DOI: https://doi.org/10.1007/s10956-022-10010-3

Bautista, J. (2023). PH students still among lowest scorers in reading, math, science – Pisa. Philippine Daily Inquirer. Retrieved from: https://newsinfo.inquirer.net/1871182/ph-students-still-among-lowest-scorers-in-reading-math-science-pisa

Ben Ouahi, M., Lamri, D., Hassouni, T., Ibrahmi, A., & Mehdi, E. (2022). Science Teachers' Views on the Use and Effectiveness of Interactive Simulations in Science Teaching and Learning. International Journal of Instruction, 15(1), 277-292. https://doi.org/10.29333/iji.2022.15116a DOI: https://doi.org/10.29333/iji.2022.15116a

Biggs, J. (2023). Assessing for quality in learning. In Assessment to promote deep learning (pp. 65-68). Routledge. DOI: https://doi.org/10.4324/9781003443100-8

Caridade, C., & Pereira, V. (2024). USING THE SOLO TAXONOMY TO MEASURE THE LEVEL OF COMPLEXITY ACHIEVED BY THE STUDENT. In EDULEARN24 Proceedings (pp. 7742-7750). IATED. https://doi:10.21125/edulearn.2024.1817 DOI: https://doi.org/10.21125/edulearn.2024.1817

Carpenter, S. K., Pan, S. C., & Butler, A. C. (2022). The science of effective learning with spacing and retrieval practice. Nature Reviews Psychology, 1(9), 496-511 https://doi.org/10.1038/s44159-022-00089-1 DOI: https://doi.org/10.1038/s44159-022-00089-1

Cezar, L., Velarde, J. J., & Palattao, S. (2021). The Effectiveness of PhET Simulation in the Academic Performance and Engagement of Grade 10 Physics Students. https://doi.org/10.6084/m9.figshare.25217531

Claudia, L. F., Kusmayadi, T. A., & Fitriana, L. (2020). The SOLO taxonomy: classify students’ responses in solving linear program problems. In Journal of Physics: Conference Series (Vol. 1538, No. 1, p. 012107). IOP Publishing. https://doi.org/10.1088/1742-6596/1538/1/012107 DOI: https://doi.org/10.1088/1742-6596/1538/1/012107

Damopolii, I., Nunaki, J. H., Nusantari, E., & Kandowangko, N. Y. (2020). The effectiveness of Inquiry-based learning to train students' thinking skills based on SOLO taxonomy. In Journal of Physics: Conference Series (Vol. 1567, No. 4, p. 042025). IOP Publishing. https://doi.org/10.1088/1742-6596/1567/4/042025 DOI: https://doi.org/10.1088/1742-6596/1567/4/042025

Davies, O., & Mansour, N. (2022). Exploring the Use of Cognitive Science Approaches Alongside SOLO Taxonomy as a Pedagogical Framework to Build Deeper Knowledge in Science and Foundation Subjects at Primary Schools in UK. Education Sciences, 12(8), 523. https://doi.org/10.3390/educsci12080523 DOI: https://doi.org/10.3390/educsci12080523

DO 8, s. 2015 (2015). The Policy Guidelines on Classroom Assessment for the K - 12 Basic Education Program | Department of Education. Retrieved from: /https://www.deped.gov.ph/wp-content/uploads/2015/04/DO_s2015_08.pdf

DUMARAOS, J. (2022). Level of Complexity in Utilizing SOLO Taxonomy Among Grade Six Pupils At Callejon Elementary School. International Journal of Arts, Sciences and Education, 3(4), 17–23. Retrieved from https://www.ijase.org/index.php/ijase/article/view/179

Eambaipreuk, A., & Unyapoti, T. (2023). Online physics tutorial using problem-solving worksheet: A case study with preservice science teachers. In Journal of Physics: Conference Series (Vol. 2653, No. 1, p. 012013). IOP Publishing. https://doi/10.1088/1742-6596/2653/1/012013 DOI: https://doi.org/10.1088/1742-6596/2653/1/012013

Edwards, S. (2016). Education, technology, and higher-order thinking: The influence of emerging technologies on teaching pedagogy and higher-order thinking in secondary schools in Australia (ED591857). ERIC. https://files.eric.ed.gov/fulltext/ED591857.pdf

Fariyani, Q., & Kusuma, H. H. (2021). Development of test instruments to analyze higher-order thinking skills through science-based literacy learning. JIPF (Jurnal Ilmu Pendidikan Fisika), 6(1), 76. https://doi.org/10.26737/jipf.v6i1.1886 DOI: https://doi.org/10.26737/jipf.v6i1.1886

Haryadi, R., & Pujiastuti, H. (2020). PhET simulation software-based learning to improve science process skills. In Journal of Physics: Conference Series (Vol. 1521, No. 2, p. 022017). IOP Publishing. https://doi.org/10.1088/1742-6596/1521/2/022017 DOI: https://doi.org/10.1088/1742-6596/1521/2/022017

Hernandez-de-Menendez, M., Escobar Díaz, C.A. & Morales-Menendez, R. (2020). Educational experiences with Generation Z. Int J Interact Des Manuf.14, 847–859 (2020). https://doi.org/10.1007/s12008-020-00674-9 DOI: https://doi.org/10.1007/s12008-020-00674-9

Kwangmuang, P., Jarutkamolpong, S., Sangboonraung, W., & Daungtod, S. (2021). The development of learning innovation to enhance higher-order thinking skills for students in Thailand junior high schools. Heliyon, 7(6). https://doi.org/10.1016/j.heliyon.2021.e07309 DOI: https://doi.org/10.1016/j.heliyon.2021.e07309

Lin, E. C. P. (2020). High school students' perceptions about the helpfulness of PhET simulations for learning physics. Doctoral dissertation, Queensland University of Technology. https://doi.org/10.5204/thesis.eprints.201913 DOI: https://doi.org/10.5204/thesis.eprints.201913

Luchembe, D., & Shumba, O. (2019). Practical work, simulations and feedback to address undergraduate physics students’ challenges in understanding circular and rotational motion. Education Quarterly Reviews, 2(3). https://doi.org/10.31014/aior.1993.02.03.90 DOI: https://doi.org/10.31014/aior.1993.02.03.89

Major, L., Francis, G. A., & Tsapali, M. (2021). The effectiveness of technology‐supported personalized learning in low‐and middle‐income countries: A meta‐analysis. British Journal of Educational Technology, 52(5), 1935-1964. https://doi.org/10.1111/bjet.13116 DOI: https://doi.org/10.1111/bjet.13116

Mindayani, N., Hadi, W., & Ambarita, B. (2019). The Development of SOLO Taxonomy Based Assessment Tool on Text of Observation Reports of X Grade Students of Senior High School 1 NA. IX-X. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal, 2(4), 371-381. https://doi.org/10.33258/birle.v2i4.527 DOI: https://doi.org/10.33258/birle.v2i4.527

Mohebi, L. (2022). Theoretical Models of Integration of Interactive Learning Technologies into Teaching: A Systematic Literature Review. International Journal of Learning, Teaching and Educational Research, 20(12). https://doi.org/10.26803/ijlter.20.12.14 DOI: https://doi.org/10.26803/ijlter.20.12.14

Ndihokubwayo, K., Uwamahoro, J., & Ndayambaje, I. (2020). Effectiveness of PhET Simulations and YouTube Videos to Improve the Learning of Optics in Rwandan Secondary Schools. African Journal of Research in Mathematics, Science and Technology Education, 24(2), 253–265. https://doi.org/10.1080/18117295.2020.1818042 DOI: https://doi.org/10.1080/18117295.2020.1818042

OECD (2023), PISA 2022 Results (Volume I): The State of Learning and Equity in Education. PISA, OECD Publishing, Paris, https://doi.org/10.1787/53f23881-en DOI: https://doi.org/10.1787/53f23881-en

PADIOS, A. C., & TOBIA, M. V. (2023). Long distance lab affairs: physics achievement and metacognition effects of distance laboratories in a senior high school in the Philippines. Turkish Online Journal of Distance Education, 24(2), 32-46. https://doi.org/10.17718/tojde.1086870 DOI: https://doi.org/10.17718/tojde.1086870

Putri, P. P., & Raharjo, R. (2020). The Development of Solo Taxonomy Based Assessment Instrument on Human Respiratory System to Measure Thinking Skills and Mastery of Concepts. Berkala Ilmiah Pendidikan Biologi (BioEdu), 9(2), https://doi.org/10.26740/bioedu.v9n2.p252-258 DOI: https://doi.org/10.26740/bioedu.v9n2.p252-258

Rahman, M. M. (2019). 21st century skill ' problem-solving': Defining the concept. Rahman, MM (2019). 21st Century Skill “Problem Solving”: Defining the Concept. Asian Journal of Interdisciplinary Research, 2(1), 64-74. https://doi.org/10.34256/ajir1917 DOI: https://doi.org/10.34256/ajir1917

Rayan, B., Daher, W., Diab, H., & Issa, N. (2023). Integrating PhET Simulations into Elementary Science Education: A Qualitative Analysis. Education Sciences, 13(9), 884. https://doi.org/10.3390/educsci13090884 DOI: https://doi.org/10.3390/educsci13090884

Salame, I. I., & Makki, J. (2021). Examining the use of PhEt simulations on students’ attitudes and learning in general chemistry II. Interdisciplinary Journal of Environmental and Science Education, 17(4), e2247. https://doi.org/10.21601/ijese/10966 DOI: https://doi.org/10.21601/ijese/10966

Siburian, J., Corebima, A. D., & Saptasari, M. (2019). The correlation between critical and creative thinking skills on cognitive learning results. Eurasian Journal of Educational Research, 19(81), 99-114. https://doi.org/0.14689/ejer.2019.81.6 DOI: https://doi.org/10.14689/ejer.2019.81.6

Svensäter, G., & Rohlin, M. (2023). Assessment model blending formative and summative assessments using the SOLO taxonomy. European Journal of Dental Education, 27(1), 149-157. https://doi.org/10.1111/eje.12787 DOI: https://doi.org/10.1111/eje.12787

Verawati, N. N. S. P., Handriani, L. S., & Prahani, B. K. (2022). The experimental experience of motion kinematics in biology class using PhET virtual simulation and its impact on learning outcomes. International Journal of Essential Competencies in Education, 1(1), 11-17. https://doi.org/10.36312/ijece.v1i1.729 DOI: https://doi.org/10.36312/ijece.v1i1.729

Zain, F. M., Sailin, S. N., & Mahmor, N. A. (2022). Promoting higher-order thinking skills among pre-service teachers through group-based flipped learning. International Journal of Journal of Instruction, 15(3), 519-542. https://doi.org/10.29333/iji.2022.15329a DOI: https://doi.org/10.29333/iji.2022.15329a

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Published

2025-01-09

How to Cite

Tusoy, M., & Baraquia, L. (2025). The Use of PhET Simulations in Evaluating Students’ Level of Cognitive Skills Utilizing Solo Taxonomy. Journal of Education and Learning Reviews, 2(1), 21–38. https://doi.org/10.60027/jelr.2025.1259