Effectiveness of Contextualization in Science Instruction to Enhance Science Literacy in the Philippines: A Meta-Analysis

Marchee T. Picardal, Joje Mar P. Sanchez

Abstract


A call for students to have a deeper understanding, so that they can make sense of and apply their learning to authentic situations, has reverberated in science teaching in the Philippines. In response, educators, teachers, and policymakers have embraced contextualization as a constructivist approach to bridging the gap between concepts and real-life experiences. Considering the popularity of this approach, it is imperative to examine the overall effectiveness of contextualization in improving students' achievement at all educational levels and in all science domains, compared to the traditional setup. By using a set of inclusion selection criteria, 10 Philippine-based studies conducted from 2017 to 2020 qualified to be included in a meta-analysis. Seven of the studies focused on the secondary level and three on tertiary level. Studies were extracted from several meta-search engines, namely Google Scholar, Science Direct, ERIC, and JSTOR; the search was facilitated by Harzing's Publish and Perish software. Statistical results from these studies were analyzed using Meta-Essentials, version 1.4, to calculate the effect sizes, to conduct subgroup and moderator analyses, and to determine publication bias. Contextualization is an approach to teaching science that could have a positive effect on students' achievement. The variables educational level and science domain were found to have no influence on student achievement. Contextualized instruction used various techniques to maximize achievement of learning outcomes. A further systematic review, covering a wider scope, must be conducted to examine indicators that may influence the implementation of contextualization in the teaching and learning process.

https://doi.org/10.26803/ijlter.21.1.9


Keywords


contextualization; meta-analysis; effect size; science achievement; Philippines

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References


Argelagos, E., & Pifarré, M. (2012). Improving information problem-solving skills in secondary education through embedded instruction. Computers in Human Behavior, 28(2), 515–526. https://psycnet.apa.org/doi/10.1016/j.chb.2011.10.024

Balagtas, M. U., Garcia, D. C. B., & Ngo, D. C. (2019). Looking through Philippine’s K to 12 Curriculum in Mathematics and Science vis-a-vis TIMSS 2015 Assessment Framework. EURASIA Journal of Mathematics, Science and Technology Education, 15(12), em1788. https://doi.org/10.29333/ejmste/108494

Baker, E. D., Hope, L., & Karandjeff, K. (2009). Contextualized teaching and learning: A faculty primer. A review of literature and faculty practices with implications for California community college practitioners. The Research and Planning Group for California Community Colleges, Center for Student Success.

Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation for publication bias. Biometrics, 50(4), 1088–1101.

Belen, J. L., & Caballes, G. D. (2020). Contextualization of activities in selected topics in molecular biology. Biometrics and Bioinformatics, 12(1), 6–10.

Borenstein, M., Hedges, L., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. Wiley & Sons.

Borenstein, M., Hedges, L., Higgins, J. P., & Rothstein, H. R. (2010). A basic introduction to fixed-effect and random-effects models for meta-analysis. Research Synthesis Methods, 1(2), 97–11. https://doi.org/10.1002/jrsm.12

Borre, J. C. (2019). Teaching biology using contextualized learning kit. The Proceedings of the Asian Conference on Education & International Development 2019. http://25qt511nswfi49iayd31ch80-wpengine.netdna-ssl.com/wp-content/uploads/papers/aceid2019/ACEID2019_45818.pdf

Buck, G. A., Akerson, V. L., Quigley, C. F., & Weiland, I. S. (2014). Exploring the potential of using explicit reflective instruction through contextualized and decontextualized approaches to teach first-grade African American girls the practices of science. Electronic Journal of Science Education, 18(6), 1–21. http://ejse.southwestern.edu/

Clough, M. (2011). Teaching and assessing the nature of science. The Science Teacher, 78(6), 56–60.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.

Curry, N., & Kirwan, J. (2014). The role of tacit knowledge in developing networks for sustainable agriculture. Sociologia Ruralis, 54(3), 341–361. https://doi.org/10.1111/soru.12048

Department of Education (2016). K to 12 curriculum guide. Science. Grade 3 to Grade 10. Republic of the Philippines Department of Education. https://www.deped.gov.ph/wp-content/uploads/2019/01/Science-CG_with-tagged-sci-equipment_revised.pdf

Department of Science and Technology Science Education Institute, & University of the Philippines National Institute of Science and Mathematics Education (2011). Science framework for Philippine basic education. SEI-DOST & UP NISMED

Dioneda, I. P. (2019). Localization and contextualization in teaching Biology for grade 7 students of Paliparan National High School for school year 2018–2019. Ioer International Multidisciplinary Research Journal, 1(3), 19–27. https://www.ioer-imrj.com/wp-content/uploads/2019/09/Localization-and-Contextualization-in-Teaching-Biology-for-Grade-7-Student-of-Paliparan-National-High-School-Isagani-P.-Dioneda-Jr..pdf

Eklund, J., Rogat, A., Alozie, N., & Krajcik, J. (2007, April). Promoting student scientific literacy of molecular genetics and genomics. Annual Meeting of the National Association for Research in Science Teaching, New Orleans, LA. http://websites.umich.edu/~hiceweb/presentations/documents/Genetics_NARST_07.pdf

Enteria, O. C., & Casumpang, P. F. H. (2019). Effectiveness of developed comic strips as instructional material in teaching specific science concepts. International Journal for Innovation Education and Research, 7(10), 876–882. https://doi.org/10.31686/ijier.Vol7.Iss10.1835

Fortus, D., & Krajcik, J. (2020). Supporting contextualization: Lessons learned from throughout the globe. In I. S. Tapia (Ed.), International perspectives on the contextualization of science education. Springer. https://doi.org/10.1007/978-3-030-27982-0_9

Funa, A. A., & Prudente, M. S. (2021). Effectiveness of problem-based learning on secondary students’ achievement in science: A meta-analysis. International Journal of Instruction, 14(4), 69–84. https://doi.org/10.29333/iji.2021.1445a

Giamellaro, M. (2014): Primary contextualization of science learning through immersion in content-rich settings. International Journal of Science Education, 36(17), 2848–2871. https://doi.org/10.1080/09500693.2014.937787

Giamellaro, M. (2017). Dewey’s yardstick: Contextualization as a crosscutting measure of experience in education and learning. SAGE Open, 7(1). https://doi.org/10.1177/2158244017700463

Harbord, R. M., Harris, R. J., & Sterne, J. A. (2009). Updated tests for small-study effects in meta-analysis. The Strata Journal, 9(2), 197–210. https://doi.org/10.1177%2F1536867X0900900202

Härtig, H., Nordine, J. C., & Neumann, K. (2020). Contextualization in the assessment of students’ learning about science. In I. S. Tapia (Ed.), International perspectives on the contextualization of science education. Springer. https://doi.org/10.1007/978-3-030-27982-0_6

Harzing, A.-W. (2007). Publish or perish. Harzing.com. https://harzing.com/resources/publish-or-perish

Karisan, D., & Zeidler, D. L. (2017). Contextualization of nature of science within the socioscientific issues framework: A review of research. International Journal of Education in Mathematics, Science and Technology, 5(2), 139–152. https://doi.org/10.18404/ijemst.270186

King, D., & Ritchie, S. M. (2012). Learning science through real-world contexts. In B. Fraser, K. Tobin, & C. McRobbie (Eds.), Second International Handbook of Science Education (Springer International Handbooks of Education, Vol. 24). Springer. https://doi.org/10.1007/978-1-4020-9041-7_6

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4. https://doi.org/10.3389/fpsyg.2013.00863

Lin, Y. R. (2018). The influences of contextualized media on students' science attitudes, knowledge, and argumentation learning through online game?based activities. Journal of Computer Assisted Learning, 34(6), 884–898. https://doi.org/10.1111/jcal.12297

Magwilang, E. B. (2019). Development and validation of a community-based learning resource package in inorganic chemistry. International Journal of Humanities and Social Sciences, 11(2), 33–41. https://doi.org/10.26803/ijhss.11.2.3

Nentwig, P., Roennebeck, S., Schoeps, K., Rumann, S., & Carstensen, C. (2009). Performance and levels of contextualization in a selection of OECD countries in PISA 2006. Journal of Research in Science Teaching, 46(8), 897–908. https://doi.org/10.1002/tea.20338

Obiedo, R. V., & Jugar, R. R. (2017). Contextualized teaching on the problem solving performance of students. University of Mindanao International Multidisciplinary Research Journal, 2(1), 1–8. http://journal.umindanao.edu.ph/wp-content/uploads/2018/01/UM20172110_Contextualized-teaching-on-the-problem-solving-.pdf

Ole, F. C. B. (2020). Effect of a developed physics laboratory manual on the conceptual understanding of industrial technology students. European Journal of Education Studies, 7(6), 113–123. https://doi.org/10.5281/zenodo.3890894

Owuor, J. (2007). Integrating African indigenous knowledge in Kenya’s formal education system: The potential for sustainable development. Journal of Contemporary Issues in Education, 2(2), 21–37. https://doi.org/10.20355/C5Z594

Perin, D. (2011). Facilitating student learning through contextualization: A review of evidence. Community College Review, 39(3), 268–295. https://doi.org/10.1177%2F0091552111416227

Pearson, P. D., Moje, E., & Greenleaf, C. (2010). Literacy and science: Each in the service of the other. Science, 328(5977), 459–463. https://doi.org/10.1126/science.1182595

Programme for International Student Assessment (2015). Draft science framework. PISA. https://www.oecd.org/pisa/pisaproducts/Draft%20PISA%202015%20Science%20Fram ework%20.pdf

Reigosa, C., & Jiménez-Aleixandre, M. P. (2007). Meaning construction and contextualization while solving a dynamics task in the laboratory. In R. Pintó, & D. Couso (Eds.), Contributions from science education research. Springer. https://doi.org/10.1007/978-1-4020-5032-9_13

Rivera, G. M., & Sanchez, J. M. P. (2020). Use of contextualized instructional materials: The case of teaching gas laws in a public uptown high school. Orbital: The Electronic Journal of Chemistry, 12(4), 276–-281. http://dx.doi.org/10.17807/orbital.v12i4.1526

Rivet, A. E., & Krajcik, J. S. (2008). Contextualizing instruction: Leveraging students’ prior knowledge and experiences to foster understanding of middle school science. Journal of Research in Science Teaching, 45(1), 79–100. https://doi.org/10.1002/tea.20203

Sagcal, R. R., Valera, N. S., & Maquiling, J. T. (2017). Development and evaluation of context-based laboratory activities in chemistry using low-cost kits for junior public. Kimika, 28(2), 30–41. https://doi.org/10.26534/kimika.v28i2.30-41

Sanchez, J. M. P. (2017). Integrated macro-micro-symbolic approach in teaching secondary chemistry. Kimika, 28(2), 22–29. https://doi.org/10.26534/kimika.v28i2.22-29

Sanchez, J. M. P. (2021). Understanding of kinetic molecular theory of gases in three modes of representation among tenth-grade students in chemistry. International Journal of Learning, Teaching and Educational Research, 20(1), 48–63. https://doi.org/10.26803/ijlter.20.1.3

Sanchez, J. M. P., Fernandez, M. J. U., Abgao, J. M. O., Sarona, H. H., Asenjo, S. B. C., Guiroy, B. V., Oponda, A. J. D., & Vale, X. M. (2021). Experimenting on natural acid-base indicators: A home-based chemistry activity during the COVID-19 pandemic as evaluated by teachers. Kimika, 32(1), 34–45. https://doi.org/10.26534/kimika.v32i1.34-45

Schroeder, C. M., Scott, T. P., Tolson, H., Huang, T-Y., & Lee, Y-H. (2007). A meta-analysis of national research: Effects of teaching strategies on student achievement in science in the United States. Journal of Research in Science Teaching, 44(10), 1436–1460. https://doi.org/10.1002/tea.20212

Sticht, T. (2005). Functional context education: Making learning relevant in the 21st century: Workshop participant’s notebook. http://en.copian.ca/library/research/fce/fce.pdf

Suryawati, E., & Osman, K. (2018). Contextualized learning: An innovative approach towards the development of students’ scientific attitude and natural science performance. EURASIA Journal of Mathematics, Science and Technology Education, 14(1), 61–76. https://doi.org/10.12973/ejmste/79329

Suurmond, R., Van Rhee, H., & Hak, T. (2017). Introduction, comparison and validation of Meta-Essentials: A free and simple tool for meta-analysis. Research Synthesis Methods, 8(4), 537-553. http://doi.org/10.1002/jrsm.1260

Tabotabo-Picardal, M., & Paño, J. D. (2018). Facilitating instruction of central dogma of molecular biology through contextualization. Journal of Teacher Education and Research, 13(2), 118–132. http://dx.doi.org/10.5958/2454-1664.2018.00012.5

Tadena, M. T. G., & Salic-Hairulla, M. A. (2021). Local-based lesson on hydrologic cycle with environmental education integration: Designing learners ideas through STEM. Journal of Physics: Conference Series, 1835(1), 012035. https://doi.org/10.1088/1742-6596/1835/1/012035

Tawfik, G. M., Dila, K. A. S., Mohamed, M. Y. F., Tam, D. N. H., Kien, N. D., Ahmed, A. M., & Huy, N. T. (2019). A step by step guide for conducting a systematic review and meta-analysis with simulation data. Tropical Medicine and Health, 47(46). https://doi.org/10.1186/s41182-019-0165-6

Valdez, J. E., & Bungihan, M. E. (2019). Problem-based learning approach enhances the problem solving skills in chemistry of high school students. Journal of Technology and Science Education, 9(3), 282–294. https://doi.org/10.3926/jotse.631

Van Rhee, H. J., Suurmond, R., & Hak, T. (2015). User manual for Meta-Essentials: Workbooks for meta-analysis (version 1.4). Erasmus Research Institute of Management. http://www.erim.eur.nl/research-support/meta-essentials


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