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International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

The Effectiveness of STEM Project-based Learning on Scientific Identity: Quasi-Experimental Evidence from Chinese College Students

Haijian Duo, Nor Asniza Ishak

http://dx.doi.org/10.6007/IJARPED/v13-i3/21868

Open access

STEM is an integrative and multidisciplinary educational concept that has been prevalent in education for many years. Project-based learning is a student-centred learning approach within the framework of constructivist theory. Scientific identity plays an essential role in students' STEM learning. This study targets sophomore students in the Department of Biology at a Chinese university. STEM project-based learning was used to study the differences in the cognition of students' science identity before and after project implementation. The experiment adopted a quasi-experiment design, comparing the experimental and control groups' science identities. The data analysis adopts the T-test method. The experimental results show that STEM project-based teaching significantly improves students' science identity compared to conventional teaching. This study reveals the positive impact of STEM project-based learning (PjBL) on students' scientific identity. It enriches the theoretical basis of students' scientific identity development in science education.

Akker, J. V. D., Bannan, B., Kelly, A. E., Nieveen, N., & Plomp, T. (2013). Educational Design Research (Part A): An Introduction. Netherlands Institute for Curriculum Development: SLO. http://www.eric.ed.gov/ERICWebPortal/recordDetail?accno= EJ815766
Bhat, B. A., & Bhat, G. J. (2019). Formative and Summative Evaluation Techniques for Improvement of Learning Process. European Journal of Business and Social Sciences, 7(5), 776–785. https://ejbss.org/
Brickhouse, N. W., & Potter, J. T. (2001). Young women's science identity formation in an urban context. Journal of Research in Science Teaching, 38(8), 965–980. https://doi.org/10.1002/tea.1041
Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187–1218. https://doi.org/10.1002/tea.20237
Chen, S., & Wei, B. (2022). Development and Validation of an Instrument to Measure High School Students' Science Identity in Science Learning. Research in Science Education, 52(1), 111–126. https://doi.org/10.1007/s11165-020-09932-y
Childers, G., & Jones, M. G. (2017). Learning from a distance: high school students' perceptions of virtual presence, motivation, and science identity during a remote microscopy investigation. International Journal of Science Education, 39(3), 257–273. https://doi.org/10.1080/09500693.2016.1278483
Cole, S. E. (2012). The development of science identity: An evaluation of youth development programs at the Museum of Science and Industry, Chicago (Doctoral Dissertation, Loyola University Chicago).
Davis, S. N., & Wagner, S. E. (2014). Research Motivations and Undergraduate Researchers' Disciplinary Identity. Boletín de Filología, 49(1), 269–273. https://doi.org/10.4067/s0718-93032014000100017
De Souza, R. R., Toebe, M., Mello, A. C., & Bittencourt, K. C. (2023). Sample size and Shapiro-Wilk test: An analysis for soybean grain yield. European Journal of Agronomy, 142, 126666.
De Fillippi, R. J. (2001). Introduction: Project-based Learning, reflective practices and Learning. Management learning, 32(1), 5-10.
Fraser, J., & Ward, P. (2009). ISE Professionals Knowledge and Attitudes Regarding Science Identity for Learners in Informal Environments: Results of a National Survey (ILI Report #091104, Institute for Learning Innovation).
Frunza, V. (2014). Advantages and Barriers of Formative Assessment in the Teaching-learning Activity. Procedia - Social and Behavioral Sciences, 114, 452–455. https://doi.org/10.1016/j.sbspro.2013.12.728
Gastwirth, J. L., Gel, Y. R., & Miao, W. (2009). The Impact of Levene's Test of Equality of Variances on Statistical Theory and Practice. Statistical Science, 24(3), 343–360. https://doi.org/10.1214/09-STS301
Gatignon, H. (2013). Statistical Analysis of Management Data. (3rd ed., Vol. 1). Boston, MA: Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4614-8594-0
Hac?ömero?lu, G., & Çanakkale, A. (2020). The Reliability and Validity Study of the STEM Identity Instrument. Fall 2020 Osmangazi Journal of Educational Research, 7(2), 1–13.
Hanusz, Z., & Tarasi?ska, J. (2014). Simulation study on improved shapiro-wilk tests for normality. Communications in Statistics: Simulation and Computation, 43(9), 2093–2105. https://doi.org/10.1080/03610918.2013.844835
Hasanah, U. (2020). Key Definitions of STEM Education: Literature Review. Interdisciplinary Journal of Environmental and Science Education, 16(3), e2217. https://doi.org/10.29333/ijese/8336
Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. C. (2010). Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: A gender study. Journal of Research in Science Teaching, 47(8), 978–1003. https://doi.org/10.1002/tea.20363
Kim, T. K. (2015). T test as a parametric statistic. Korean Journal of Anesthesiology, 68(6), 540–546. https://doi.org/10.4097/kjae.2015.68.6.540
Liu, S., Xu, S., Li, Q., Xiao, H., & Zhou, S. (2023). Development and validation of an instrument to assess students' science, technology, engineering, and mathematics identity. Physical Review Physics Education Research, 19(1), 10138. https://doi.org/10.1103/PhysRevPhysEducRes.19.010138
Moser, B. K., & Stevens, G. R. (1992). Homogeneity of variance in the two-sample means test. American Statistician, 46(1), 19–21. https://doi.org/10.1080/00031305.1992.10475839
Moutinho, L. (2014). Exploratory or Confirmatory Factor Analysis. In The SAGE Dictionary of Quantitative Management Research (pp. 111–116). https://doi.org/10.4135/9781446251119.n34
Newell, M. J., & Ulrich, P. N. (2022). Gains in Science Identity, Science Self-Efficacy, and Career Intent Distinguish Upper-Level CUREs from Traditional Experiences in the Classroom. Journal of Microbiology & Biology Education, 23(3). https://doi.org/10.1128/jmbe.00051-22
Perkins, H. L., Bahnson, M., Tsugawa-Nieves, M. A., Kirn, A., & Cass, C. (2018). Development and testing of an instrument to understand engineering doctoral students' identities and motivations. ASEE Annual Conference and Exposition, Conference Proceedings, 2018-June. https://doi.org/10.18260/1-2--30319
Pfeifer, M. A., Zajic, C. J., Isaacs, J. M., Erickson, O. A., & Dolan, E. L. (2016). Beyond performance,competence, and recognition: Forging a science researcher identity in the context of research training. Correspondencias & Análisis, 15018, 1–23.
Rasch, D., Kubinger, K. D., & Moder, K. (2011). The two-sample t test: Pre-testing its assumptions does not pay off. Statistical Papers, 52(1), 219–231. https://doi.org/10.1007/s00362-009-0224-x
Royston, P. (1992). Approximating the Shapiro-Wilk W-test for non-normality. Statistics and Computing, 2, 117–119.
Scarbrough, H., Swan, J., Laurent, S., Bresnen, M., Edelman, L., & Newell, S. (2004). Project-based learning and the role of learning boundaries. Organization Studies, 25(9), 1579–1600. https://doi.org/10.1177/0170840604048001
Smith, M. E., & Brandenburg, D. C. (1991). Summative evaluation. Performance Improvement Quarterly, 4(2), 35-58.
Stratton, S. J. (2021). Population Research: Convenience Sampling Strategies. Prehospital and Disaster Medicine, 36(4), 373–374. https://doi.org/10.1017/S1049023X21000649
Tessmer, M. (1994). Formative Assessment Alternatives. In Performance Improvement Quarterly (Vol. 7, Issue 1, pp. 3–18).
Vincent-Ruz, P., & Schunn, C. D. (2018). The nature of science identity and its role as the driver of student choices. International Journal of STEM Education, 5(1). https://doi.org/10.1186/s40594-018-0140-5
Wholey, J. S. (1994). Assessing the feasibility and likely usefulness of evaluation. Jossey-Bass Publisher.
Yong, A. G., & Pearce, S. (2013). A Beginner's Guide to Factor Analysis: Focusing on Exploratory Factor Analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79–94. https://doi.org/10.20982/tqmp.09.2.p079
Yuying, A., & Mingsha, H. (2023). The Design Application of Biomaterial Gelatin. Academic Exchange, 7(5), 113–116. https://doi.org/10.20100/j.cnki.cn11-4548/ts.2023.07.005

(Duo & Asniza, 2024)
Duo, H., & Asniza, I. N. (2024). The Effectiveness of STEM Project-based Learning on Scientific Identity: Quasi-Experimental Evidence from Chinese College Students. International Journal of Academic Research in Progressive Education and Development, 13(3), 1151–1161.