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Temel Biyoteknoloji Bilgi Ölçeğinin (TBBÖ) Rasch Ölçüm Modeline Göre Geliştirilmesi

Yıl 2022, Cilt: 16 Sayı: 2, 354 - 380, 31.12.2022
https://doi.org/10.17522/balikesirnef.1217928

Öz

Bu çalışmanın amacı, temel biyoteknoloji bilgisini ölçmek için bir ölçek geliştirmek, ölçeğin psikometrik özelliklerini incelemek ve öğrencilerin test performanslarında okul, sınıf ve cinsiyete göre farklılık olup olmadığını incelemektir. Bu ölçeğin geliştirme aşaması Türkiye'nin batısındaki bir ilde 388 lise öğrencisi örneklemi ile gerçekleştirilmiştir. Ölçeğin psikometrik özellikleri Rasch modeli kullanılarak incelenmiştir. 17 maddeden oluşan son ölçeğin K-R iç tutarlılık katsayısı 0,77 olarak hesaplanmıştır. Madde-toplam korelasyonlarının bir madde (Madde 1, 0.13) dışında 0.25 ile 0.48 arasında değiştiği görülmüştür. Rasch analizinin sonuçları, ölçeğin Rasch modeline uyduğunu ve düşük ve yüksek performanslı sınava girenleri ayırt edebildiğini göstermiştir. Üç Yönlü ANOVA sonuçları, okul değişkeni için önemli bir ana etki göstermiştir Ayrıca, biyoteknoloji bilgi puanları açısından sınıf ve cinsiyet değişkenleri arasında istatistiksel olarak anlamlı bir fark bulunamamıştır. Bununla birlikte, sınıf*cinsiyet etkileşimi, küçük etki boyutuna sahip erkeklerin lehine istatistiksel olarak anlamlı bulunmuştur. Gözlenen bu etkinin, 12. sınıf öğrencilerinin eşit olmayan örneklem büyüklüğünden kaynaklandığı düşünülmektedir. Bu da Temel Biyoteknoloji Bilgisi Ölçeğinin (TBBÖ) lise öğrencilerinin bilgi düzeylerini değerlendirmek için kullanılabileceğini göstermektedir

Destekleyen Kurum

Balikesir Üniversitesi Bilimsel Araştırma Projeleri Birimi

Proje Numarası

2014/33

Kaynakça

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Development of Basic Biotechnology Knowledge Scale (BBKS) with Rasch Measurement Model

Yıl 2022, Cilt: 16 Sayı: 2, 354 - 380, 31.12.2022
https://doi.org/10.17522/balikesirnef.1217928

Öz

The purpose of this study was to develop a scale to measure basic biotechnology knowledge, examine the psychometric properties of the scale, and investigate whether there are differences in the test performances of high school students in terms of school, grade, and gender. The development phase of this scale was carried out with a sample of 388 high school students in a province in the west of Turkey. The psychometric properties of the scale were examined using the Rasch model. The K-R internal consistency coefficient of the final scale consisting of 17 items was calculated as 0.77. It was observed that item-total correlations varied between 0.25 and 0.48 except for one item (item 1, 0.13). The results of the Rasch analysis indicated that the scale fits the Rasch model and can differentiate low and high performing test takers. Three-Way ANOVA results demonstrated a significant main effect for the school. There were no statistically significant differences for grade and gender variables in terms of their biotechnology knowledge scores. However, the grade*gender interaction was statistically significant favoring males with small effect size. This observed effect was possibly due to uneven sample size of 12th grade students. The overall results suggest that the Basic Biotechnology Knowledge Scale (BBKS) can be used to assess the knowledge level of high school students.

Proje Numarası

2014/33

Kaynakça

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  • Altıntaş, Ö., & Kutlu, Ö. (2019). Investigating differential item functioning of Ankara University examination for foreign students by recursive partitioning analysis in the Rasch model. International Journal of Assessment Tools in Education, 6(4), 602–616. https://doi.org/10.21449/ijate.554212
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  • Ayar, A., & Hasipek, S. (2003). Genetik modifiye gıdalar [Genetically Modified Foods]. Standard: Technical and Economic Journal, 42(494),73-79.
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  • Bayoğlu, A. S., & Özgen, Ö. (2010). An examination about the consumer attitudes towards biotechnology and perceived benefit and perceived risk. The Journal of International Social Research, 3(10), 90-103.
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  • Gürkan, G. & Kahraman, S. (2019). Fen bilgisi öğretmenlerinin biyoteknoloji ve genetik mühendisliği bilgi düzeylerinin çeşitli değişkenler açısından incelenmesi: Malatya ili örneği [Investigation of knowledge levels of science teachers on biotechnology and genetic engineering in terms of different variables: The case of Malatya province]. Inonu University Journal of the Graduate School of Education, 6(12), 66-78.
  • Hanegan, N. L., & Bigler, A. (2009) Infusing authentic inquiry into biotechnology. Journal of Science Education and Technology, 18, 393-401.
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  • Ho, M. W. (2001). Genetik mühendisliği: Rüya mı kabus mu? [Genetic engineering: Dream or nightmare?]. İstanbul: Türkiye İş Bankası Kültür Yayınları.
  • Kahveci, D., & Özçelik, B. (2008). Attitudes of Turkish consumers towards genetically modified foods. International Journal of Natural and Engineering Sciences, 2(2), 53-57.
  • Kaptan, F. (1994). Rasch modeli madde parametrelerini kullanarak en yüksek olabilirlik yöntemiyle yetenegin kestirilmesi [Estimation of ability with the highest likelihood method using Rasch model item parameters]. Hacettepe University Journal of Education, 10, 95-97.
  • Kaskatı, O. T. (2011). Rasch modelleri kullanarak romatoid artirit hastaları özürlülük değerlendirimi için bilgisayar uyarlamalı test yönteminin geliştirilmesi [Development of computer adaptive testing method using with Rasch models for assessment of disability in rheumatoid arthritis patients]. (Unpublished doctoral dissertation). Ankara University Institute of Health Sciences, Ankara.
  • Keskin, N. (2003). Fen bilgisi eğitimi 3. sınıf öğrencilerinin gen klonlama konusunu öğrenmelerine poster sunumu etkinliğinin etkisi [The effect of poster presentation activity on science education 3rd grade students' learning gene cloning]. (Unpublished master’s thesis), Gazi University Institute of Educational Sciences, Ankara.
  • Keskin, Y., Lüleci, N. E., Özyaral, O., Altıntaş, Ö., Sağlık, A., Lisar, H., Turan, A., & Top, Y. (2010). Maltepe üniversitesi tıp fakültesi örencilerinin genetiği değiştirilmiş organizmalar hakkında bilgi tutum ve davranışları [Knowledge, attitude and behavior of the students in medical school of Maltepe University about genetically modified organisms]. Maltepe Medical Journal, 2 (1), 14-23.
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  • Kustiana, Suratno & Wahyuni, D. (2020). The analysis of metacognitive skills and creative thinking skills in STEM education at senior high school for biotechnology. Journal of Physics: Conference Series,1465,012045. doi:10.1088/1742-6596/1465/1/012045
  • Lamanauskas, V., & Makarskaitė-Petkevičienė, R. (2008). Lithuanian university students’ knowledge of biotechnology and their attitudes to the taught subject. Eurasia Journal of Mathematics, Science and Technology Education, 4(3), 269-277.
  • Lock, R., & Miles, C. (1993). Biotechnology and genetic engineering: Students’ knowledge and attitudes. Journal of Biological Education, 27(4), 267–273.
  • Lyson, T. A. (2002). Advanced agricultural biotechnologies and sustainable agriculture. Trends in Biotechnology, 20, 193-196.
  • Massarani, L., & Moreira, I. C. (2005). Attitudes towards genetics: A case study among Brazilian high school students. Public Understanding of Science, 14, 201-212. doi:10.1177/0963662505050992
  • Ministry of National Education (MoNE) (2018a). Fen bilimleri dersi öğretim programı (İlkokul ve ortaokul 1,2,3,4,5,6,7 ve 8. sınıflar) [Science course curriculum (primary and secondary school 1,2,3,4,5,6,7 and 8th grades]. Ankara. Retrieved from http://mufredat.meb.gov.tr/Programlar.aspx.
  • Ministry of National Education (MoNE) (2018b). Biyoloji Dersi Öğretim Programı [Biology Curriculum]. Ankara. Retrieved from http://mufredat.meb.gov.tr/Dosyalar/20182215535566Biyoloji%20d%C3%B6p.pdf
  • Morris, S. H., & Adley, C.C. (2001). Irish public perceptions and attitudes to modern biotechnology: an overview with a focus on GM foods. Trends in Biotechnology, 19(2), 43-48.
  • Mowen, D. L., Roberts, T. G., Wingenbach, G. J., & Harlin, J. F. (2006). Barriers, roles, and information source preferences of agricultural science teachers’ for teaching biotechnology: A case study. Proceedings of the 33rd Annual National Agricultural Education Research Conference, Charlotte, NC.
  • Nguyen, T. H., Han, H. R., Kim, M. T., & Chan, K. S. (2014). An introduction to item response theory for patient-reported outcome measurement. The patient, 7(1), 23–35. doi:10.1007/s40271-013-0041-0
  • Olsher, G., & Dreyfus, A. (1999). The “ostension‐teaching” approach as a means to develop junior‐high student attitudes towards biotechnologies. Journal of Biological Education, 34(1), 25-31.
  • Öcal, E. (2012). İlköğretim fen bilgisi öğretmenlerinin biyoteknoloji (genetik mühendisliği) farkındalık düzeyleri [The level of biotechnology (genetic engineering) awareness of elementary science teachers]. (Unpublished master’s thesis). Inonu University Institute of Educational Sciences, Malatya.
  • Ömür, S., & Erkuş, A. (2013). Dereceli puanlama anahtarıyla, genel izlenimle ve ikili karşılaştırmalar yöntemiyle yapılan değerlendirmelerin karşılaştırılması [Comparison of the evaluations which were done with rubric, overall impression and paired comparisons]. Hacettepe University Journal of Education, 28(2), 308 320.
  • Özdemir, O., Güneş, M. H., & Demir, S. (2010). The level of knowledge-attitudes of students towards genetically modified organism (GMO) and its evaluation according to sustainable consumption education. Ondokuz Mayis University Journal of Education Faculty, 29 (1), 53- 68.
  • Özgen, Ö. (1995). Biyoteknoloji ve tüketici [Biotechnology and consumer]. Verimlilik Dergisi [Journal of Productivity], 2, 141-147.
  • Özgen, Ö., Emiroğlu, H., Yıldız, M., Taş, A. S., & Purutçuoğlu, E. (2007a). Tüketiciler ve modern biyoteknoloji: Model yaklaşımlar [Consumers and modern biotechnology: Model approaches]. Ankara Üniversitesi Biyoteknoloji Enstitüsü Yayınları [Ankara University Institute of Biotechnology Publications], Ankara Üniversitesi Basımevi, Ankara.
  • Özgen, Ö., Güngör, N., Emiroğlu, H., & Taş, A. S. (2007b, May). College students’ opinions about consumer education and information sources towards biotechnological applications and products. Paper presented at the 5th International Conference on Communication and Mass Media, Athens, Greece.
  • Pas, M., Vogrinc, J., Raspor, P., Knezevic, N. U., & Zajc, J. C. (2019). Biotechnology learning in Slovenian upper-secondary education: Gaining knowledge and forming attitudes. Research in Science & Technological Education, 37(1), 110-125. doi: 10.108 0/02635143.2018.1491473.
  • Priest, S. H., Bonfadelli, H., & Rusanen, M. (2003). The “trust gap” hypothesis: Predicting support for biotechnology across national cultures as a function of trust in actors. Risk Analysis, 23(4), 751–766.
  • Prokop, P., Leskova, A., Kubiatko, M., & Diran, C. (2007). Slovakian students' knowledge of and attitudes toward biotechnology. International Journal of Science Education, 29(7), 895-907.
  • Saefi, M., Fauzi, A., Kristiana, E., Adi, W. C., Muchson, M., Setiawan, M. E., Islami, N. N., Ningrum, D., Ikhsan, M. A., & Ramadhani, M. (2020). Survey data of covid-19-related knowledge, attitude, and practices among Indonesian undergraduate students. Data in brief, 31, 105855. doi:10.1016/j.dib.2020.105855
  • Schilling, B. J., Hallman, W., Hossain, F., & Adelaja, A. O. (2003). Consumer perception of food biotechnology: evidence from a survey of U.S. consumers. Journal of Food Distribution Research, 34(1), 30–35.
  • Semerci, Ç. (2011a). Analyzing microteaching applications with many-facet Rasch measurement model. Education and Science, 36 (161), 14-25.
  • Semerci, Ç. (2011b). Doktora yeterlikler çerçevesinde öğretim üyesi, akran ve öz değerlendirmelerin Rasch ölçme modeliyle analizi [Analysis of faculty members, peers and self-assessments within the framework of doctoral qualifications with the Rasch measurement model]. Journal of Measurement and Evaluation in Education and Psychology, 2(2), 164-17.
  • Shaw, A. (2002). "It just goes against the grain." public understandings of genetically modified (GM) food in the UK. Public Understanding of Science, 11(3), 273-291.
  • Sıcaker, A. (2013). The development study of a secondary school biotechnology and genetic engineering knowledge scale with Rasch measurement model [The development study of a secondary school biotechnology and genetic engineering knowledge scale with Rasch measurement model]. (Unpublished master’s thesis). Balıkesir University Institute of Sciences, Balikesir.
  • Sıcaker, A., & Öz Aydın, S. (2015). Ortaöğretim biyoteknoloji ve gen mühendisliği kavramlarının öğrenciler tarafından değerlendirilmesi [Evaluation of biotechnology and genetic engineering concepts by students]. Ondokuz Mayis University Journal of Faculty of Education, 34 (2), 51- 67.
  • Sıcaker, A., Öz Aydın, S., & Saçkes, M. (2020). Ortaöğretim Biyoteknoloji Bilgi Testi (OBBT) [The secondary school biotechnology knowledge test (SBKT)]. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 50, 426-448. doi:10.9779/pauefd.595078
  • Sjöberg, L. (1996). Risk perceptions by politicians and the public. Rhizikon: Risk Research Reports No. 23. Stockholm, Sweden: Center for Risk Research.
  • Sönmez, E., & Pektaş, M. (2017). Ortaokul öğrencilerine müfredat dışında uygulanan bazı biyoteknoloji etkinliklerinin bilimin doğası görüşleri ve biyoteknoloji bilgilerine etkisi [The effects of some activities of biotechnology in extra-curricular on middle school students’ nature of science perceptions and biotechnology knowledge]. Kastamonu Education Journal, 25(5), 2019-2036.
  • Sparks, P., & Shepherd, R. (1994). Public perceptions of the potential hazards associated with food production and food consumption: An empirical study. Risk Analysis, 14(5), 799-806. doi:10.1111/j.1539-6924.1994.tb00291.x
  • Subrahmanyan, S., & Cheng, P. S. (2000). Perceptions and attitudes of Singaporeans toward genetically modified foods. Journal of Consumer Affairs, 34(2), 269-290.
  • Sürmeli, H., & Şahin, F. (2009). Üniversite öğrencilerinin biyoteknoloji çalışmalarına yönelik bilgi ve görüşleri [Knowledge and opinions of university students on biotechnology studies]. Cukurova University Faculty of Education Journal, 37, 33-45.
  • Sürmeli, H., & Şahin, F. (2010a). University students’ attitudes towards biotechnological studies. Education and Science, 35(155), 145-157.
  • Sürmeli, H., & Şahin, F. (2010b). University students’ bioethical perceptions about genetic engineering: genetic testing and genetic diagnosis. Journal of Turkish Science Education, 7(2), 119-132.
  • Testa, I., Costanzo, G., Crispino, M., Galano,S., Parlati,A., Tarallo, O. Tricò, F., & di Uccio, U.S. (2022). Development and validation of an instrument to measure students’ engagement and participation in science activities through factor analysis and Rasch analysis. International Journal of Science Education, 44(1), 18-47. doi: 10.1080/09500693.2021.2010286
  • Turan, M., & Koç, I. (2012). Preservice science teachers’ attitudes towards biotechnology applications, Trakya University Journal of Education, 2(2), 74-83.
  • Tyas, A., Senam, Wiyarsi, A., & Laksono, E. (2020). Chemistry teaching self-efficacy: A scale development. Journal of Physics: Conference Series, 1440, 012005, 1-8. doi:10.1088/1742-6596/1440/1/012005
  • Wie, S. H., Strohbehn, C. H., & Hsu, C. H. C. (1998). Iowa dietitians’ attitudes toward and knowledge of genetically engineered and irradiated foods. Journal of the American Dietetic Association, 98(11), 1331–1333.
  • Willis, G. B. (2005). Cognitive interviewing: A tool for improving questionnaire design: A tool for improving questionnaire design. Thousand Oaks, CA: Sage.
  • Woudstra, A. J., Smets, E. M., Galenkamp, H., & Fransen, M. P. (2019). Validation of health literacy domains for informed decision making about colorectal cancer screening using classical test theory and item response theory. Patient Education and Counseling, 102(12), 2335–2343. doi: 10.1016/j.pec.2019.09.016
  • Wright, B. D., & Mok, M. C. M. (2004). An overview of the family of rasch measurement models. Introduction to Rasch measurement. In E.V. Smith Jr. & R.M. Smith (Eds)., Introduction to Rasch Measurement (pp.1-24). Maple Grove, MN: JAM Press.
  • Wright, B. D., & Stone, M. H. (1979). Best test design. Chicago: Mesa Press.
  • Yılmaz, M., & Öğretmen, T. (2014). Biyoloji öğretmen adaylarının gen teknolojisine ilişkin bilgi düzeyleri ve bilgi kaynaklarının incelenmesi [The level of knowledge of prospective biology teachers on gene technology and their source of information]. Pegem Journal of Education and Instruction, 4(4), 59-76.
  • Yüce, Z., & Yalçın, N. (2012, June). Fen bilgisi öğretmen adaylarının biyoteknoloji konusundaki bilgi düzeyleri [Preservice science teachers’ knowledge levels of biotechnology]. Paper presented at the 10th National Congress of Science and Mathematics Education, Niğde.
Toplam 94 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Serap Öz Aydın 0000-0002-0635-0728

Mesut Saçkes 0000-0003-3673-1668

Nazlı Ruya Taşkın Bedizel 0000-0001-6027-719X

Aysun Sıcaker 0000-0001-7615-7440

Proje Numarası 2014/33
Yayımlanma Tarihi 31 Aralık 2022
Gönderilme Tarihi 12 Aralık 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 16 Sayı: 2

Kaynak Göster

APA Öz Aydın, S., Saçkes, M., Taşkın Bedizel, N. R., Sıcaker, A. (2022). Development of Basic Biotechnology Knowledge Scale (BBKS) with Rasch Measurement Model. Necatibey Eğitim Fakültesi Elektronik Fen Ve Matematik Eğitimi Dergisi, 16(2), 354-380. https://doi.org/10.17522/balikesirnef.1217928