Orta Okul Öğrencilerinin Modelleme Becerilerini Geliştirmeye Yönelik Etkinlik Tasarlama: Bir Tasarım Tabanlı Araştırma
Abstract
Modeller ve modelleme süreci, anlaşılması zor ve soyut pek çok kavramı bünyesinde barındıran fen eğitimi derslerinde uzun yıllardır kullanılmaktadır. Modeller yardımıyla öğrenciler, hem ilgili konuya ilgili bilgi düzeylerini geliştirir hem de bir üretim süreci içerisinde yaparak-yaşayarak öğrenme gerçekleştirirler. Model üretim süreci içerisinde ise modelleme becerileri denen bazı davranışları gerçekleştirirler. Öğrencilerin bu becerilerinin geliştirilmesine yönelik bilgisayar tabanlı etkinlikler tasarlama, bu çalışmanın amacını oluşturmaktadır. Bu bağlamda etkinlik geliştirme sürecinde tasarım tabanlı araştırma yöntemi esas alınmıştır. Toplam iki döngü çerçevesinde etkinlikler geliştirilmiştir. Birinci döngü kapsamında etkinliklerin taslak çizimleri yapılmış, alan eğitimcisi ve bilgisayar uzmanlarıyla etkinliklerin Adobe Flash ortamına aktarımı gerçekleştirilmiştir. İlk döngüde 11 orta okul öğrencisine uygulanan etkinliklere, ikinci döngü başlamadan gerekli düzenlemeler yapılmış, ikinci döngüde gerçekleştirilen uygulama sonrasında etkinliklere son hali verilmiştir. Geliştirme süreci sonunda toplam altı bilgisayar tabanlı etkinlik elde edilmiştir. Geliştirilen bu etkinlikler yardımıyla öğrencilerin ilgili modelleme beceriline yönelik çeşitli uygulamalar yapılabilir. Böylelikle, öğrencilerin daha iyi modeller üretmeleri sağlanarak, fen konularına yönelik kavramsal bilgi düzeyleri geliştirilebilir.
Keywords
fen eğitimi modelleme becerileri etkinlik geliştirme bilgisayar etkinliği tasarım tabanlı araştırma
References
- Barab, S. A., Hay, K. E., Barnett, M., & Keating, T. (2000). Virtual solar system project: Building understanding through model building. Journal of Research and Science Teaching, 37(7), 719-756. https://doi.org/10.1002/1098-2736(200009)37:7%3C719::AID-TEA6%3E3.0.CO;2-V
- Bülbül, S. (2019). Identification of modeling skills of secondary school students, development, implementation and evaluation of computer-based activities for these skills [Unpublished doctoral dissertation]. Trabzon University.
- Cobb, P., Confrey, J., diSessa, A., Lehrer, R. & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.
- Frederiksen, J. R., White, B. Y., & Gutwill, J. (1999). Dynamic mental models in learning science: The importance of constructing derivational linkages among models. Journal of Research in Science Teaching, 36(7), 806-836. https://doi.org/10.1002/(SICI)1098-2736(199909)36:7<806::AID-TEA5>3.0.CO;2-2
- Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. Van den Akker, K.
- Gravemeijer, S. McKenney & N. Nieveen (Eds.), Educational Design Research, (pp. 45-85). Routledge.
- Güneş, B., Gülçiçek, Ç., & Bağcı, N. (2004). Analysis of science educators' views about model and modelling. Journal of Turkish Science Education, 1, 35-48.
- Harrison, A. G. (2001). How do teachers and textbook writers model scientific ideas for students. Research in Science Education, 31, 401-435.
- Hung, J., & Lin, J. (2009). The Development of the simulation modeling system and modeling ability evaluation. International Journal of u-and e-Service, Science and Technology, 2(4), 1-16.
- Lehrer, R., & Schauble, L. (2006). Scientific thinking and science literacy: Supporting development in learning. In W. Damon, R. M. Lerner, K. A. Renninger, I. E. Sigel & Hoboken (Eds.), Handbook of child psychology, (pp. 153-196). Wiley.
- Lesh, R., & Sriraman, B. (2005). Mathematics education as a design science. Zentralblatt für Didaktik der Mathematik (ZDM), 37(6), 490-505.
- McKenney, S., & Reeves, T. C. (2013). Systematic review of design-based research progress: Is a little knowledge a dangerous thing. Educational Researcher, 42(2), 97-100. https://doi.org/10.3102/0013189X12463781
- Méheut, M. (2004). Designing and validating two teaching–learning sequences about particle models. International Journal of Science Education, 26(5), 605-618. https://doi.org/10.1080/09500690310001614726
- Metcalf, J. S., Krajcik, J. & Soloway, E. (2000). MODEL-IT: A design retrospective. In M. J. Jacobson & R. B. Kozma (Eds.), Innovations in science and mathematics education (pp. 77–115). Lawrence Erlbaum Associates.
- Raghavan, K., & Glaser, R. (1995). Model-based analysis and reasoning in science: The MARS curriculum. Science Education, 79(1), 37–61. https://doi.org/10.1002/sce.3730790104
- Raghavan, K., Sartoris, M. L., & Glaser, R. (1998). Why does it go up? The impact of the MARS curriculum as revealed through changes in student explanations of a helium balloon. Journal of Research in Science Teaching, 35(5), 547–567. https://doi.org/10.1002/(SICI)1098-2736(199805)35:5<547::AID-TEA5>3.0.CO;2-P
- Schwarz, C. V., & White, B. Y. (2005). Metamodeling knowledge: Developing students understanding of scientific modeling. Cognition and Instruction, 23, 165-205. https://doi.org/10.1207/s1532690xci2302_1
- Sins, P. H., Savelsbergh, E. R., & Van Joolingen, W. R. (2005). The difficult process of scientific modelling: An analysis of novices' reasoning during computer‐based modelling. International Journal of Science Education, 27(14), 1695-1721. https://doi.org/10.1080/09500690500206408
- Stratford, S. J. (1997). A review of computer-based model research in precollege science classrooms. Journal of Computers in Mathematics and Science Teaching, 16(1), 3–23.
- Treagust, D. F., Chittleborough, G., & Mamiala, T. L. (2002). Students’ understanding of the role of scientific models in learning science. International Journal of Science Education, 24(4), 357–368. https://doi.org/10.1080/09500690110066485
- Valanides, N., & Angeli, C. (2008). Learning and teaching about scientific models with a computer modeling tool. Computers in Human Behavior, 24, 220–233. https://doi.org/10.1016/j.chb.2007.01.005
- Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational Technology Research and Development, 53(4), 5-23.
- White, B. Y. (1993). Thinkertools: Causal models, conceptual change, and science education. Cognition and Instruction, 10(1), 1–100. https://doi.org/10.1207/s1532690xci1001_1
- Windschitl, M., Thompson, J., & Braaten, B. (2008). Beyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941-967. https://doi.org/10.1002/sce.20259
- Wynne, C. F., Stewart J., & Passmore, C. (2001) High school students' use of meiosis when solving genetics problems, International Journal of Science Education, 23(5), 501-515.
- Yılmaz, T. (2012). Comparison of the effects of model – based and computer – based instruction on 9th grade students’ spatial abilities and conceptual understanding of ionic lattice [Unpublished doctoral dissertation]. Boğaziçi University Institute of Graduate Studies in Science and Engineering.
- Yurt, S. (2011). The effects of modeling-based activities created via virtual environment and concrete manipulatives on spatial thinking and mental rotation abilities. [Unpublished doctoral dissertation]. Selçuk University Graduate School of Educational Sciences.
Abstract
Models and modeling process have been used for many years in science education courses, which contain many concepts that are difficult to understand and abstract. With the help of models, students improve their knowledge level related to the subject and realize learning by hands-on activities in the production process. In the model production process, they perform some behaviours called modeling skills. The purpose of this study is to design computer-based activities to develop students' skills. In this context, design-based research method was used in the activity development process. Activities were developed within the framework of a total of two cycles. Within the scope of the first cycle, drafts of the activities were made, and the activities were transferred to Adobe Flash environment with field educators and computer experts. In the first cycle, the activities applied to 11 middle school students were made necessary arrangements before the second cycle, and after the second cycle, the activities were finalized. At the end of the development process, a total of six computer-based activities were achieved. With the help of these activities, various applications can be made for the students' related modeling skills. In this way, students can produce better models and develop their level of conceptual knowledge about science lesson subjects.
Keywords
science education modeling skills activity development computer activity design-based research
References
- Barab, S. A., Hay, K. E., Barnett, M., & Keating, T. (2000). Virtual solar system project: Building understanding through model building. Journal of Research and Science Teaching, 37(7), 719-756. https://doi.org/10.1002/1098-2736(200009)37:7%3C719::AID-TEA6%3E3.0.CO;2-V
- Bülbül, S. (2019). Identification of modeling skills of secondary school students, development, implementation and evaluation of computer-based activities for these skills [Unpublished doctoral dissertation]. Trabzon University.
- Cobb, P., Confrey, J., diSessa, A., Lehrer, R. & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.
- Frederiksen, J. R., White, B. Y., & Gutwill, J. (1999). Dynamic mental models in learning science: The importance of constructing derivational linkages among models. Journal of Research in Science Teaching, 36(7), 806-836. https://doi.org/10.1002/(SICI)1098-2736(199909)36:7<806::AID-TEA5>3.0.CO;2-2
- Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. Van den Akker, K.
- Gravemeijer, S. McKenney & N. Nieveen (Eds.), Educational Design Research, (pp. 45-85). Routledge.
- Güneş, B., Gülçiçek, Ç., & Bağcı, N. (2004). Analysis of science educators' views about model and modelling. Journal of Turkish Science Education, 1, 35-48.
- Harrison, A. G. (2001). How do teachers and textbook writers model scientific ideas for students. Research in Science Education, 31, 401-435.
- Hung, J., & Lin, J. (2009). The Development of the simulation modeling system and modeling ability evaluation. International Journal of u-and e-Service, Science and Technology, 2(4), 1-16.
- Lehrer, R., & Schauble, L. (2006). Scientific thinking and science literacy: Supporting development in learning. In W. Damon, R. M. Lerner, K. A. Renninger, I. E. Sigel & Hoboken (Eds.), Handbook of child psychology, (pp. 153-196). Wiley.
- Lesh, R., & Sriraman, B. (2005). Mathematics education as a design science. Zentralblatt für Didaktik der Mathematik (ZDM), 37(6), 490-505.
- McKenney, S., & Reeves, T. C. (2013). Systematic review of design-based research progress: Is a little knowledge a dangerous thing. Educational Researcher, 42(2), 97-100. https://doi.org/10.3102/0013189X12463781
- Méheut, M. (2004). Designing and validating two teaching–learning sequences about particle models. International Journal of Science Education, 26(5), 605-618. https://doi.org/10.1080/09500690310001614726
- Metcalf, J. S., Krajcik, J. & Soloway, E. (2000). MODEL-IT: A design retrospective. In M. J. Jacobson & R. B. Kozma (Eds.), Innovations in science and mathematics education (pp. 77–115). Lawrence Erlbaum Associates.
- Raghavan, K., & Glaser, R. (1995). Model-based analysis and reasoning in science: The MARS curriculum. Science Education, 79(1), 37–61. https://doi.org/10.1002/sce.3730790104
- Raghavan, K., Sartoris, M. L., & Glaser, R. (1998). Why does it go up? The impact of the MARS curriculum as revealed through changes in student explanations of a helium balloon. Journal of Research in Science Teaching, 35(5), 547–567. https://doi.org/10.1002/(SICI)1098-2736(199805)35:5<547::AID-TEA5>3.0.CO;2-P
- Schwarz, C. V., & White, B. Y. (2005). Metamodeling knowledge: Developing students understanding of scientific modeling. Cognition and Instruction, 23, 165-205. https://doi.org/10.1207/s1532690xci2302_1
- Sins, P. H., Savelsbergh, E. R., & Van Joolingen, W. R. (2005). The difficult process of scientific modelling: An analysis of novices' reasoning during computer‐based modelling. International Journal of Science Education, 27(14), 1695-1721. https://doi.org/10.1080/09500690500206408
- Stratford, S. J. (1997). A review of computer-based model research in precollege science classrooms. Journal of Computers in Mathematics and Science Teaching, 16(1), 3–23.
- Treagust, D. F., Chittleborough, G., & Mamiala, T. L. (2002). Students’ understanding of the role of scientific models in learning science. International Journal of Science Education, 24(4), 357–368. https://doi.org/10.1080/09500690110066485
- Valanides, N., & Angeli, C. (2008). Learning and teaching about scientific models with a computer modeling tool. Computers in Human Behavior, 24, 220–233. https://doi.org/10.1016/j.chb.2007.01.005
- Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational Technology Research and Development, 53(4), 5-23.
- White, B. Y. (1993). Thinkertools: Causal models, conceptual change, and science education. Cognition and Instruction, 10(1), 1–100. https://doi.org/10.1207/s1532690xci1001_1
- Windschitl, M., Thompson, J., & Braaten, B. (2008). Beyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941-967. https://doi.org/10.1002/sce.20259
- Wynne, C. F., Stewart J., & Passmore, C. (2001) High school students' use of meiosis when solving genetics problems, International Journal of Science Education, 23(5), 501-515.
- Yılmaz, T. (2012). Comparison of the effects of model – based and computer – based instruction on 9th grade students’ spatial abilities and conceptual understanding of ionic lattice [Unpublished doctoral dissertation]. Boğaziçi University Institute of Graduate Studies in Science and Engineering.
- Yurt, S. (2011). The effects of modeling-based activities created via virtual environment and concrete manipulatives on spatial thinking and mental rotation abilities. [Unpublished doctoral dissertation]. Selçuk University Graduate School of Educational Sciences.
Details
| Primary Language | English |
|---|---|
| Subjects | Other Fields of Education |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | June 30, 2023 |
| Submission Date | May 30, 2023 |
| Published in Issue | Year 2023 Volume: 11 Issue: 1 |
