Journals / Turkish Studies (Elektronik) / 2019 / Cilt: 14 - Sayı: 1

MIDDLE SCHOOL STUDENTS' INTEREST IN SCIENCETECHNOLOGY-ENGINEERING AND MATHEMATICS (STEM) CAREER

ORTAOKUL ÖĞRENCİLERİNİN FEN-TEKNOLOJİMÜHENDİSLİK-MATEMATİK (FeTeMM) MESLEKLERİNE YÖNELİK İLGİLERİ

Pages
751–774
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

At the end of the study, suggestions were made according to the findings.

📌 3 Key Takeaways

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Objective & Hypothesis:This study was aimed to determine the level of interest of a sample of fifth-and eighth-graders students in STEM careers on the basis of gender, where they lived, grade levels, their parents’ educational status and levels of income.
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Key Findings & Data:The data were conducted with 758 fifth-and eighth-graders students’.
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Conclusion & Impact:At the end of the study, suggestions were made according to the findings.
🔬Design:Survey & Empirical Study
📍Scope:2014 Verileri
⚙️Variables:Domain Parameters

Abstract

This study was aimed to determine the level of interest of a sample of fifth-and eighth-graders students in STEM careers on the basis of gender, where they lived, grade levels, their parents’ educational status and levels of income. The research is of the type of survey model which is within the scope of quantitative research method. The data were conducted with 758 fifth-and eighth-graders students’. The sample consists of ten middle schools in Elazıg. The data were collected through Science, Technology, Engineering, and Mathematics Career Interest Survey (STEM-CIS). STEM-CIS was developed by Kier, Blanchard, Osborne and Albert (2014) and adapted to Turkish by Koyunlu Unlu, Dokme and Unlu (2016). The scale is made up of 4 subscales, that is, the scale is a 5-likert type scale consisting of four subscales, that is, “science career” “technology career”, “engineering career” and “mathematics career” and 40 items. Mean, mode, median, skewness and kurtosis values of variables were examined. In the analysis of the data, Independent Samples t Test, ANOVA tests and Tukey test were used. According to research findings, it was determined that fifth-and eighth-graders students had a significant difference according to gender, where they lived, grade levels, their parents’ educational status and the levels of income of the family. At the end of the study, suggestions were made according to the findings.

Özet

Bu araştırmada, ortaokul öğrencilerinin Fen-TeknolojiMühendislik ve Matematik (FeTeMM) mesleklerine yönelik ilgi düzelerinin belirlenmesi amaçlanmıştır. Araştırma nicel araştırma yöntemi kapsamında olan tarama modeli türündendir. Araştırmanın örneklemini, Elazığ il merkezi, ilçe ve köylerde bulunan on okuldaki 5, 6, 7 ve 8. sınıf düzeyinde öğrenimlerini sürdüren 758 öğrenci oluşturmaktadır. Araştırmada Kier, Blanchard, Osborne ve Albert (2013) tarafından geliştirilen “Science, Technology, Engineering, and Mathematics Career Interest Survey (STEM-CIS)” isimli ölçeğin Türkçeye uyarlanmış hali kullanılmıştır. Koyunlu-Ünlü, Dökme ve Ünlü (2016) tarafından ölçeğin uyarlama çalışması yapılarak “FeTeMM Mesleklerine Yönelik İlgi” olarak isimlendirilmiştir. Ölçek 4 alt boyuttan (fen meslekleri, teknoloji meslekleri, mühendislik meslekleri ve matematik meslekleri) oluşan 40 maddelik 5 likert tipindedir. Değişkenlerin normallik göstergeleri olan ortalama, mod, medyan, çarpıklık ve basıklık değerleri incelenmiştir. Değerlerin incelemesi sonucunda elde edilen veriler normal dağılım gösterdiği belirlenmiş ve bunun üzerine bağımsız örneklem t testi, varyans analizi ve Tukey testi kullanılmıştır. Araştırmaya katılan öğrencilerin FeTeMM mesleklerine yönelik ilgi düzeylerinde cinsiyet, yaşadıkları yer, ebeveyn eğitim durumları ve ebeveyn gelir durumlarına göre anlamlı farklılıklar olduğu belirlenmiştir. Ayrıca her bir değişken için FeTeMM mesleklerine yönelik ilgi ölçeğinin alt boyutları karşılaştırılmıştır. Alt boyutlarda da FeTeMM mesleklerine yönelik ilgi düzeylerinde değişkenlere göre anlamlı farklılık olduğu tespit edilmiştir. Araştırmanın sonunda elde edilen sonuçlara göre de önerilerde bulunulmuştur.

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Cite This Article

UĞRAŞ, M. (2019). MIDDLE SCHOOL STUDENTS' INTEREST IN SCIENCETECHNOLOGY-ENGINEERING AND MATHEMATICS (STEM) CAREER. Turkish Studies (Elektronik), Cilt: 14 - Sayı: 1, 751–774. https://ajindex.com/articles/84344

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References (9)

  1. American College Testing (2011). The condition of college and career readiness 2011. Erişim Tarihi: 22.02.2018 http://www.act.org/research/policymakers/cccr11/
  2. Archer, L., Dewitt, J., & Willis, B. (2014). Adolescent boys’ science aspirations: Masculinity, capital and power. Journal of Research in Science Teaching, 51(1), 1–30.
  3. Aschbacher, P. R., Li, E., & Roth., E. J. (2010). Is Science Me? High School Students’ Identities, Participation and Aspirations in Science, Engineering and Medicine. Journal of Research in Science Teaching, 47, 564-82.
  4. ASPIRES (2013). Young people’s science and career aspirations, age 10 –14. London: King’s College London. Erişim adresi: https://www.kcl.ac.uk/sspp/departments/education/research/aspires/ASPIRES-final-reportDecember-2013.pdf
  5. Astin, A. W., &Astin, H. S. (1992). Undergraduate science education: The impact of different college environments on the educational pipeline in the sciences. Final Report. Los Angeles: Higher Education Research Institute. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall. Banerjee, P. A. (2016). A systematic review of factors linked to poor academic performance of disadvantaged students in science and maths in schools. Cogent Education, 3(1). Bergin, D. A. (1999). Influences on classroom interest. Educational Psychologist, 34(2), 87–92.
  6. Betz, N. E., & Borgen, F. (2000). The future of career assessment: Integrating vocational interests with self-efficacy and personal styles. Journal of Career Assessment, 8, 205–222.
  7. Bryant, B. K., Zvonkovic, A. M., & Reynolds, P. (2006). Parenting in relation to child and adolescent vocational development. Journal of Vocational Behavior, 69, 149–175.
  8. Business Europe (2011). Plugging the skills gap: The clock is ticking. Erişim Tarihi: 15.03.2018 http://www.businesseurope.eu/Content/Default.asp?pageid=568&docid=28659.
  9. Cataldi, E.F., Green, C., Henke, R., Lew, T., Woo, J., Shepherd, B., and Siegel, P. (2011). 2008–09 Baccalaureate and Beyond Longitudinal Study (BB:08/09): First Look (NCES 2011–236). US Department of Education. Washington: National Center for Education Statistics. Chittum, J. R., & Jones, B. D. (2017). Identifying pre-high school students’ science class motivation profiles to increase their science identification and persistence. Journal of Educational Psychology. doi:10.1037/edu0000176 Christensen, R., & Knezek, G. (2017). Relationship of middle school student STEM interest to ca