Exploring The Efficacy of Drill and Practice Methods in Improving Student Engagement and Learning Outcomes on The Salt Hydrolysis Topic

Shifi Syarifa Fahmina, Elfi Susanti VH, Ayni Ayni

Abstract

Effective teaching and improved learning outcomes rely on student engagement and active learning. Interactive, hands-on approaches are particularly valuable in science education for fostering better comprehension of scientific concepts. This research investigates the efficacy of the drill and practice method to enhance student engagement and learning outcomes in salt hydrolysis. The study follows a classroom action research design across two cycles in a public high school in Sukoharjo Regency, Indonesia. Participants were selected purposively due to iden­tified issues in engagement and academic performance. Data collected via cognitive tests, obser­vations, and questionnaires were analyzed descriptively. Results show that implementing the drill and practice method significantly heightened student engagement in salt hydrolysis, with active student percentage rising from 73% (Cycle I) to 88% (Cycle II). Cognitive learning outcomes also improved, progressing from 67% (Cycle I) to 81% (Cycle II). These findings hold significance for science education. The drill and practice approach enhances engagement and understanding, allowing educators to elevate learning outcomes. This method can cultivate engagement and boost learning in similar contexts, such as high school. By embracing interactive strategies, educators foster active participation, aiding students in mastering scientific concepts and addressing engage­ment and performance concerns

Keywords

Drill and Practice Method, Engagement, Learning Outcomes, Salt Hydrolysis.

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References

Abdulah, A., & Wangid, M. N. (2021). Needs Analysis of Interactive Multimedia Based on Drill and Practice to Improve Motivation and Critical Reading Skills in Elemen­tary Schools. Jurnal Pendidikan Teori Penelitian Dan Pengembangan. https://doi.org/10.17977/jptpp.v6i3.14611

Aidoo, B., Boateng, S. K., Kissi, P. S., & Ofori, I. (2016). Effect of Problem-Based Learn­ing on Students’ Achievement in Chemistry. Journal of Education and Practice, 7(33), 103–108.

Barke, H. D., Hazari, A., & Yitbarek, S. (2009). Misconceptions in chemistry (3027th ed.). Springer. https://doi.org/10.1007/978-3-540-70989-3

Bucat, R. (2004). Pedagogical Content Knowledge as a Way Forward: Applied Research in Chemistry Education. Chemistry and Education: Research and Practice, 5(3), 215–228. https://doi.org/10.1039/b4rp90025a

ÇETİNGÜL, P. İ., & Geban, Ö. (2005). Understanding of Acid-Base Concept By Using Conceptual Change Approach. H. U. Journal of Education, 29, 69–74.

Dubas, J. M., & Toledo, S. A. (2016). Taking higher order thinking seriously: Using Mar­zano’s taxonomy in the economics classroom. International Review of Economics Education, 21, 12–20. https://doi.org/10.1016/j.iree.2015.10.005

Erna, M., Elfizar, & Dewi, C. A. (2021). The Development of E-Worksheet Using Kvisoft Flipbook Maker Software Based on Lesson Study to Improve Teacher’s Critical Thinking Ability. International Journal of Interactive Mobile Technologies, 15(1), 39–55. https://doi.org/10.3991/IJIM.V15I01.15679

Feierabend, Timo; Eilks, I. (2011). Innovating Science Teaching by Participatory Action Research - Reflections from an interdisciplinary curriculum innovation project on teaching about climate change. CEPS Journal, 1(1).

Ferrell, J. B., Campbell, J. P., McCarthy, D. R., McKay, K. T., Hensinger, M., Srinivasan, R., Zhao, X., Wurthmann, A., Li, J., & Schneebeli, S. T. (2019). Chemical Explo­ration with Virtual Reality in Organic Teaching Laboratories. Journal of Chemical Education, 96(9), 1961–1966. https://doi.org/10.1021/acs.jchemed.9b00036

Gallardo-Williams, M. T., & Dunnagan, C. L. (2021). Designing Diverse Virtual Reality Laboratories as a Vehicle for Inclusion of Underrepresented Minorities in Organic Chemistry. Journal of Chemical Education. https://doi.org/10.1021/acs.jchemed.1c00321

Graulich, N., & Caspari, I. (2021). Designing a scaffold for mechanistic reasoning in or­ganic chemistry. Chemistry Teacher International, 3(1), 19–30. https://doi.org/10.1515/cti-2020-0001

Ishartono, N., Juniati, D., & Lukito, A. (2016). Developing Mathematics Teaching De­vices in the Topic of Trigonometry Based on Guided Discovery Teaching Method. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 1(2), 154–171. https://doi.org/10.23917/jramathedu.v1i2.4827

Laliyo, L. A. R., Sumintono, B., & Panigoro, C. (2022). Measuring changes in hydrolysis concept of students taught by inquiry model: stacking and racking analysis tech­niques in Rasch model. Heliyon, 8(3), e09126. https://doi.org/10.1016/j.heli­yon.2022.e09126

Lehtinen, E., Hannula-Sormunen, M., McMullen, J., & Gruber, H. (2017). Cultivating mathematical skills: from drill-and-practice to deliberate practice. ZDM - Mathe­matics Education, 49(4), 625–636. https://doi.org/10.1007/s11858-017-0856-6

Levy, S. T., & Wilensky, Æ. U. (2009). Crossing Levels and Representations: The Con­nected Chemistry (CC1) Curriculum. https://doi.org/10.1007/s10956-009-9152-8

Lufri, L., Yogica, R., Muttaqiin, A., & Fitri, R. (2020). The Course of Biology Learning Methodology: Are Concept-Based Learning and Drill Method Effective in Enhanc­ing Higher-Order Thinking Skills of Students?

Meir, R., & Rätsch, G. (2003). An introduction to boosting and leveraging. In Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002 Revised Lectures (pp. 118-183). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-36434-x_4

Mendrofa, M. P., & Wijaya, M. (2022). Benefits of Drilling Repetition in Enhancing Sec­ond Language Learners’ Speaking Ability. International Journal of English and Applied Linguistics (Ijeal). https://doi.org/10.47709/ijeal.v2i2.1583

Moon, A., Stanford, C., Cole, R., & Towns, M. (2016). The nature of students’ chemical reasoning employed in scientific argumentation in physical chemistry. Chemistry Education Research and Practice, 17(2), 353–364. https://doi.org/10.1039/c5rp00207a

Moon, A., Stanford, C., Cole, R., & Towns, M. (2017). Analysis of inquiry materials to explain complexity of chemical reasoning in physical chemistry students’ argumen­tation. Journal of Research in Science Teaching, 54(10), 1322–1346. https://doi.org/10.1002/tea.21407

Moro, C., Štromberga, Z., Raikos, A., & Stirling, A. (2017). The effectiveness of virtual and augmented reality in health sciences and medical anatomy. Anatomical Sci­ences Education, 10(6), 549–559. https://doi.org/10.1002/ase.1696

Peddycord-Liu, Z., Harred, R., Karamarkovich, S., Barnes, T., Lynch, C., & Rutherford, T. (2018). Learning curve analysis in a large-scale , drill-and-practice serious math game: Where is learning support needed? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 10947 LNAI. Springer International Publishing. https://doi.org/10.1007/978-3-319-93843-1_32

Peen, T. Y., & Arshad, M. Y. (2017). Collaborative and Self-Directed Learning Pro­cesses: A Case Study in Malaysian Chemistry PBL Lesson. Ijer - Indonesian Jour­nal of Educational Review. https://doi.org/10.21009/ijer.04.01.01

Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V. M., & Jo­vanović, K. (2016). Virtual laboratories for education in science, technology, and engineering: A review. Computers and Education, 95, 309–327. https://doi.org/10.1016/j.compedu.2016.02.002

Prihantoro, A., & Hidayat, F. (2019). Melakukan Penelitian Tindakan Kelas. Ulumuddin: Jurnal Ilmu-Ilmu Keislaman, 9(1), 49–60. https://doi.org/10.47200/ulumud­din.v9i1.283

Prikken, M., Konings, M. J., Lei, W. U., Begemann, M. J. H., & Sommer, I. E. C. (2019). The efficacy of computerized cognitive drill and practice training for patients with a schizophrenia-spectrum disorder: A meta-analysis. Schizophrenia Research, 204, 368–374. https://doi.org/10.1016/j.schres.2018.07.034

Rodríguez-Becerra, J., Cáceres-Jensen, L., Díaz, T., Druker, S., Bahamonde Padilla, V., Pernaa, J., & Aksela, M. (2020). Developing technological pedagogical science knowledge through educational computational chemistry: A case study of pre-ser­vice chemistry teachers’ perceptions. Chemistry Education Research and Practice, 21(2), 638–654. https://doi.org/10.1039/c9rp00273a

Slameto, S. (2015). Implementasi Penelitian Tindakan Kelas. Scholaria: Jurnal Pendidi­kan Dan Kebudayaan, 5(3), 47. https://doi.org/10.24246/j.schol­aria.2015.v5.i3.p47-58

Sugiharti, G., Hamid K., A., & Mukhtar, M. (2019). Application of PBL Using Labora­tory and Mathematical Thinking Ability to Learning Outcomes of General Chem­istry Course. International Education Studies, 12(6), 33. https://doi.org/10.5539/ies.v12n6p33

Susetyo, B., Siswaningsih*, W., & Oktavi, F. R. (2021). Development of Critical Think­ing Test Instruments with Problem Solving Context on The Salt Hydrolysis Mate­rial. Jurnal Pendidikan Sains Indonesia, 9(2), 243–255. https://doi.org/10.24815/jpsi.v9i2.19862

Tan, H. R., Chng, W. H., Chonardo, C., Ng, M. T. T., & Fung, F. M. (2020). How Chem­ists Achieve Active Learning Online during the COVID-19 Pandemic: Using the Community of Inquiry (CoI) Framework to Support Remote Teaching. Journal of Chemical Education, 97(9), 2512–2518. https://doi.org/10.1021/acs.jchemed.0c00541

Tang, K. S. (2016). Constructing scientific explanations through premise–reasoning–out­come (PRO): an exploratory study to scaffold students in structuring written expla­nations. International Journal of Science Education, 38(9), 1415–1440. https://doi.org/10.1080/09500693.2016.1192309

Voogt, J., Erstad, O., Dede, C., & Mishra, P. (2013). Challenges to learning and schooling in the digital networked world of the 21st century. Journal of Computer Assisted Learning, 29(5), 403–413. https://doi.org/10.1111/jcal.12029

Voogt, J., Fisser, P., Pareja Roblin, N., Tondeur, J., & van Braak, J. (2013). Technological pedagogical content knowledge - A review of the literature. Journal of Computer Assisted Learning, 29(2), 109–121. https://doi.org/10.1111/j.1365-2729.2012.00487.x

Wenno, I. H., Jamaludin, J., & Batlolona*, J. R. (2021). The Effect of Problem Based Learning Model on Creative and Critical Thinking Skills in Static Fluid Topics. Jurnal Pendidikan Sains Indonesia, 9(3), 498–511. https://doi.org/10.24815/jpsi.v9i3.20829

Wright, D. R., Underhill, L. G., Keene, M., & Knight, A. T. (2015). Understanding the Motivations and Satisfactions of Volunteers to Improve the Effectiveness of Citizen Science Programs. Society and Natural Resources, 28(9), 1013–1029. https://doi.org/10.1080/08941920.2015.1054976

Xu, H., Li, S., Song, W., Sun, J., Wu, X., Wang, X., Yang, W., & Pan, Z. (2020). Thermal perception method of virtual chemistry experiments. Virtual Reality and Intelligent Hardware, 2(4), 305–315. https://doi.org/10.1016/j.vrih.2020.07.003

Yu, F. Y., & Chen, Y. J. (2014). Effects of student-generated questions as the source of online drill-and-practice activities on learning. British Journal of Educational Tech­nology, 45(2), 316–329. https://doi.org/10.1111/bjet.12036

Zitzewitz, B. S., & Berger, C. F. (1985a). Applications of Mathematical Learning Models to Student Performance on General Chemistry: Microcomputer Drill and Practice Programs. Journal of Research in Science Teaching. https://doi.org/10.1002/tea.3660220902

Zitzewitz, B. S., & Berger, C. F. (1985). Applications of mathematical learning models to student performance on general chemistry: Microcomputer drill and practice programs. Journal of Research in Science Teaching, 22(9), 775-791.

DOI: https://doi.org/10.20961/paedagogia.v26i2.75037

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