Project-based learning for teaching Newton's laws in high school: Quasi-experimental analysis
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Abstract
Currently, high school students are experiencing difficulties in acquiring knowledge and solving problems in physics. Therefore, this research was designed to analyze the impact of project-based learning on the academic performance of high school students studying Newton's laws. A quantitative quasi-experimental approach was used with two groups: an experimental group, where the active methodology of project-based learning was implemented, and a control group, which received traditional instruction. An initial diagnostic assessment verified the homogeneity of the groups, followed by an experimental pedagogical intervention to conduct the final evaluation and measure learning outcomes. The results show an improvement in the academic performance of the experimental group compared to the control group, suggesting that this methodology promotes conceptual understanding and the application of physical principles. This indicates that the applied pedagogical strategy is an effective tool for teaching Newton's laws at the high school level.
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References
Acosta, S. (2023). Los enfoques de investigación en las Ciencias Sociales. Revista Latinoamericana Ogmios, 3(8), 82-95. doi: https://doi.org/10.53595/rlo.v3.i8.084
Barrón, A. R., & Ramírez, M. H. (2023). Diseño universal de aprendizaje en la enseñanza de la física: una propuesta de aplicación. Revista científica, 47(2), 71-86. doi: https://doi.org/10.14483/23448350.20105
Cabrera, O., López, F., & Rodríguez Ángel, O. W. (2025). Strengthening Scientific Inquiry Skills Through Flipped Learning: A Quasi-Experimental Study in Primary Education. MENTOR Revista De investigación Educativa Y Deportiva , 4(12), 387–416. doi: https://doi.org/10.56200/mried.v4i12.10181
Campbell, D., & Cook. (1979). Quasi-experimentation. Chicago, IL: Rand Mc-Nally, 1(1), 1-384. Obtenido de https://www.academicpeds.org/wp-content/uploads/gravity_forms/66-cffe81f82d0c22a20931a4634aea2e41/2023/03/Shadish-Cook-Cambell_2002_-ITS_Designs_OCR.pdf
Cooksey, R. (2020). Descriptive Statistics for Summarising Data. Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, 62-139. doi: https://doi.org/10.1007/978-981-15-2537-7_5
Etikan, I., Musa, A., & Sunusi, R. (2015). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. doi: https://doi.org/10.11648/j.ajtas.20160501.11
Freeman, S., Eddy, S., McDonough, M., & Smith, M. (12 de mayo de 2014). Active learning increases student performance in science, engineering, and mathematics. PNAS, 111(23), 8410–8415. doi: https://doi.org/10.1073/pnas.1319030111
Gibson, C., & Rankin, S. (2015). Defining and measuring academic success. Practical Assessment, Research & Evaluation, 20(5), 1-20. doi: https://doi.org/10.7275/hz5x-tx03
Hake, 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. Obtenido de https://doi.org/10.1119/1.18809
Influencer, R. (2024). 8 metodologías que todo profesor del siglo XXI debería conocer. Obtenido de https://www.realinfluencers.es/2018/09/09/8-metodologias-profesor-siglo-xxi-deberia-conocer/
Lima, R., Andersson, P., & Saalman, E. (2017). Active Learning in Engineering Education. EUROPEAN JOURNAL OF ENGINEERING EDUCATION, 42(1), 1-4. doi: http://dx.doi.org/10.1080/03043797.2016.1254161
Loyens, S., & Rikers, R. (2024). The Effects of Problem-Based, Project-Based, and Case-Based Learning on Students’ Motivation: a Meta-Analysis. Educational Psychology Review, 36(29). doi: https://doi.org/10.1007/s10648-024-09864-3
Molina, E., Cedeño, N. J., Rodríguez, M., & Saltos, W. M. (2024). Community service: Artificial intelligence in employment and the reconfiguration . Tennessee Community Service International of Empowerment, 1(2), 9–15. doi: https://doi.org/10.53730/tcsie.v1n2.8
Mora, A. M. (2018). Las concepciones sobre el lenguaje y su relación con los procesos cognitivos superiores, en docentes de I Ciclo. Revista Educación, 42(1). doi: https://dx.doi.org/10.15517/revedu.v42i1.19908
Mora, E., & Rodríguez, M. (2018). Las concepciones sobre el lenguaje y su relación con los procesos cognitivos superiores, en docentes de I Ciclo. Revista de educació.
Mostto, F., & Parra, V. (2024). Descriptive statistics in secondary and higher education: Bibliographical review between 2010 and 2020 . Papeles, 16(31). doi: https://doi.org/10.54104/papeles.v16n31.1606
Pérez, E., & Cuervo, M. (2008). Validez de contenido y juicio de expertos: una aproximación a su utilización. Avances en Medición , 27-36. Obtenido de https://investigacion.uninorte.edu.py/wp-content/uploads/Escobar-Pe%CC%81rez-y-Cuervo-Marti%CC%81nez-Validez-de-contenido-y-juicio-de-expertos-Una-apr.pdf?utm_source=chatgpt.com
Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223-231. doi: https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
Rikers, R., & Loyens, S. (2024). The Effects of Problem-Based, Project-Based, and Case-Based Learning on Students’ Motivation: a Meta-Analysis. Educational Psychology Review, 36(29). doi: https://doi.org/10.1007/s10648-024-09864-3
Sailema, T. A., Lucero, M. F., Aguirre, M. B., & Escobar, M. C. (2023). Metodologías activas para la enseñanza aprendizaje de física en el bachillerato. Ciencia Latina Revista Científica Multidisciplinar, 7(1), 9446-9477. doi: https://doi.org/10.37811/cl_rcm.v7i1.5069
Sampieri, H., Collado, F., & Lucio, B. (2014). Metodología de la investigación (6 ed.). México DF.: Editorial McGraw-Hill Interamericana,. Obtenido de http://observatorio.epacartagena.gov.co/wpcontent/uploads/2017/08/metodologia-de-lainvestigacion-sexta-edicion.compressed.pdf.
York, T., Gibson, C., & Rankin, S. (2015). Defining and Measuring Academic Success. Practical Assessment, Research, and Evaluation, 20(5), 1-20. doi: https://doi.org/10.7275/hz5x-tx03