BibTex RIS Kaynak Göster

A validity and reliability study of the Basic STEM Skill Levels Perception Scale

Yıl 2020, Cilt: 7 Sayı: 2, 111 - 121, 01.09.2020
https://doi.org/10.17220/ijpes.2020.02.010

Öz

The aim of this study is to develop a perception scale related to the possible basic skills that can be gained through STEM. Participants of this study were 723 university students. In this study, descriptive survey study was conducted. To identify validity of the scale exploratory factor analysis, cumulative item factor, corrected correlations and item discrimination were calculated. For reliability internal consistency and stability level were calculated. Collected data were analyzed in terms of arithmetic mean, standard deviation, t and ANOVA. The scale is a 7-point likert-type scale which consists of 43 items under 3 factors. Data analysis results showed that this scale is valid and reliable for measuring students’ STEM skills according to their perceptions.

Kaynakça

  • Balcı, A. (2009). Sosyal bilimlerde araştırma: Yöntem, teknik ve ilkeler [Research in social science: Methods, techniques and principles]. Ankara: PegemA Pub.
  • Brown, W. (2015). Introduction to Algorithmic Thinking. Available at: https://www.coursehero.com/file/31890645/Introduction-to-Algorithmic-Thinkingdocx/
  • Büyüköztürk, Ş. (2002). Sosyal bilimler için veri analizi el kitabı [Data analysis handbook for social sciences]. Ankara: PegemA Press.
  • Bybee, R. W. (2013). The case for STEM education: challenges and opportunities. Virginia: NSTA Press
  • Carmines, E.G. & Zeller, R.A. (1982). Reliability and validity assessment. 5th ed. Beverly Hills: Sage Publications Inc.
  • Çepni, S. (2018). Kuramdan Uygulamaya STEM Eğitimi [From theory to practice STEM education]. Ankara, PegemA.
  • Eroğlu, A. (2008). Faktör analizi [Factor analyses]. In: Kalaycı, Ş. (Ed.), Spss uygulamalı çok değişkenli istatistik teknikleri [Statistics Techniques with Multi Variable in SPSS Applications] (pp. 321-331). Ankara: Asil Publishers.
  • Field, A. (2000). Discovering Statistics using SPSS for Windows. London: Thousand Oaks- New Delhi: Sage Pub.
  • Gelen, İ. (2017). P21- 21st Century Skill Frameworks in Curriculum and Instruction (USA Practices). Journal of Interdisciplinary Educational Research, 1(2), 15-29.
  • Gökkurt, B., Örnek, T., Hayat, F. & Soylu, Y. (2015). Assessing Students’ Problem-Solving and Problem-Posing Skills. doi:10.14686/buefad.v4i2.5000145637 Jounal of Faculty of Education, 4(2), 751-774.
  • Gorsuch, R. L. (1983). Factor analysis. Hillsdale: Lawrence Erlbaum Associates.
  • Gülhan, F. & Şahin, F. (2016). The effects of science-technology-engineering-math (STEM) integration on 5th grade students’ perceptions and attitudes towards these areas. International Journal of Human Sciences, 13(1):602- 620. doi:10.14687/ijhs.v13i1.3447
  • Günüç, S., Odabaşı, H. F.& Kuzu, A. (2013). The Defining Characteristics of Student of The 21. Century By Student Teachers: A Twitter Activity. Journal of Theory and Practice in Education, 9(4), 436-455.
  • Hernandez, P. R., Bodin R., Elliott, J. W., Ibrahim B., Rambo-Hernandez, K. E., Chen T. W. & Miranda M. A. (2014). Connecting the STEM dots: measuring the effect of an integrated engineering design intervention. International Journal Technology Design Education. 24, 107-120, doi:10.1007/s10798-013- 9241-0
  • Honey, M., Pearson, G. & Schweingruber, H. (Eds). National Academy of Engineering and National Research Council (2014). STEM integration in K12 education: Status, prospects, and an agenda for research. Washington D. C. : The National Academies Press.
  • Keçeci, G., Alan, B. & Kırbağ Zengin, F. (2017). STEM Education Practices with 5th Grade Students. Ahi Evran University Journal of Kırşehir Educational Faculty (KEFAD), 18, 1-17.
  • Kline, P. (1994). An easy guide to factor analysis. London and New York: Routledge.
  • MNE (2011). 21. Yüzyıl Öğrenci Profili [21. Century Student Profile]. Ankara: Turkey Ministry of National Education
  • Murphy, K. & Davidshofer, C. (1988). Psychological testing: Principles and applications. Englewood Cliffs, NJ: Prentice-Hall.
  • NGSS. (2018). DCI Arrangements of the Next Generation Science Standards. Available at: https://www.nextgenscience.org/sites/default/files/NGSS%20DCI%20Combined% 2011.6.13.pdf
  • Rogers, C. & Portsmore, M. (2004). Bringing engineering to elementary school. Journal of STEM Education, 5(3), 17-28.
  • Russell, D. W. (2002). In search of underlying dimensions: The use (and abuse) of factor analysis. Personality and Social Psychology Bulletin, 28, 1629–1646. doi:10.1177/014616702237645
  • Scherer, R.F., Wiebe F.A., Luther, D. C. & Adams J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports 62(3), 763-770. PubMed PMID: 3406294. doi:10.2466/pr0.1988.62.3.763
  • SNAP (2018). SNAP Assessment for NGSS. Available at: https://snapgse.stanford.edu/snap-assessments-ngss
  • Stinson, K., Harkness, S., Meyer, H. & Stallworth, J. (2009). Mathematics and science integration: models and characterizations. School Science and Mathematics, 109(3), 153-161. doi:10.1111/j.1949- 8594.2009.tb17951.x
  • Sullivan, F. R. (2008). Robotics and science literacy: Thinking skills, science process skills and systems understanding. Journal of Research in Science Teaching, 45(3), 373–394. doi:10.1002/tea.20238
  • Tatlıdil, H. (2002). Uygulamalı çok değişkenli istatistiksel analiz [Applied multivariate statistical analysis]. Ankara: Akademi Pub.
  • Whittle, S.R., Pell, G. & MurdochEaton, D.G. (2010). Recent changes to students' perceptions of their key skills on entry to higher education. Journal of Further and Higher Education, 34(4), 557-570. doi:10.1080/0309877X.2010.512082
  • Yakman, G, (2008). STEM Education: An overview of creating a model of integrative education. Pupils Attitudes Towards Technology Annual Proceedings. Netherlands.
  • Yıldırım, B. & Selvi, M. (2017). An experimental research on effects of stem applications and mastery learning. Journal of Theory and Practice in Education, 13(2), 183-210. doi:10.17244/eku.310143
Yıl 2020, Cilt: 7 Sayı: 2, 111 - 121, 01.09.2020
https://doi.org/10.17220/ijpes.2020.02.010

Öz

Kaynakça

  • Balcı, A. (2009). Sosyal bilimlerde araştırma: Yöntem, teknik ve ilkeler [Research in social science: Methods, techniques and principles]. Ankara: PegemA Pub.
  • Brown, W. (2015). Introduction to Algorithmic Thinking. Available at: https://www.coursehero.com/file/31890645/Introduction-to-Algorithmic-Thinkingdocx/
  • Büyüköztürk, Ş. (2002). Sosyal bilimler için veri analizi el kitabı [Data analysis handbook for social sciences]. Ankara: PegemA Press.
  • Bybee, R. W. (2013). The case for STEM education: challenges and opportunities. Virginia: NSTA Press
  • Carmines, E.G. & Zeller, R.A. (1982). Reliability and validity assessment. 5th ed. Beverly Hills: Sage Publications Inc.
  • Çepni, S. (2018). Kuramdan Uygulamaya STEM Eğitimi [From theory to practice STEM education]. Ankara, PegemA.
  • Eroğlu, A. (2008). Faktör analizi [Factor analyses]. In: Kalaycı, Ş. (Ed.), Spss uygulamalı çok değişkenli istatistik teknikleri [Statistics Techniques with Multi Variable in SPSS Applications] (pp. 321-331). Ankara: Asil Publishers.
  • Field, A. (2000). Discovering Statistics using SPSS for Windows. London: Thousand Oaks- New Delhi: Sage Pub.
  • Gelen, İ. (2017). P21- 21st Century Skill Frameworks in Curriculum and Instruction (USA Practices). Journal of Interdisciplinary Educational Research, 1(2), 15-29.
  • Gökkurt, B., Örnek, T., Hayat, F. & Soylu, Y. (2015). Assessing Students’ Problem-Solving and Problem-Posing Skills. doi:10.14686/buefad.v4i2.5000145637 Jounal of Faculty of Education, 4(2), 751-774.
  • Gorsuch, R. L. (1983). Factor analysis. Hillsdale: Lawrence Erlbaum Associates.
  • Gülhan, F. & Şahin, F. (2016). The effects of science-technology-engineering-math (STEM) integration on 5th grade students’ perceptions and attitudes towards these areas. International Journal of Human Sciences, 13(1):602- 620. doi:10.14687/ijhs.v13i1.3447
  • Günüç, S., Odabaşı, H. F.& Kuzu, A. (2013). The Defining Characteristics of Student of The 21. Century By Student Teachers: A Twitter Activity. Journal of Theory and Practice in Education, 9(4), 436-455.
  • Hernandez, P. R., Bodin R., Elliott, J. W., Ibrahim B., Rambo-Hernandez, K. E., Chen T. W. & Miranda M. A. (2014). Connecting the STEM dots: measuring the effect of an integrated engineering design intervention. International Journal Technology Design Education. 24, 107-120, doi:10.1007/s10798-013- 9241-0
  • Honey, M., Pearson, G. & Schweingruber, H. (Eds). National Academy of Engineering and National Research Council (2014). STEM integration in K12 education: Status, prospects, and an agenda for research. Washington D. C. : The National Academies Press.
  • Keçeci, G., Alan, B. & Kırbağ Zengin, F. (2017). STEM Education Practices with 5th Grade Students. Ahi Evran University Journal of Kırşehir Educational Faculty (KEFAD), 18, 1-17.
  • Kline, P. (1994). An easy guide to factor analysis. London and New York: Routledge.
  • MNE (2011). 21. Yüzyıl Öğrenci Profili [21. Century Student Profile]. Ankara: Turkey Ministry of National Education
  • Murphy, K. & Davidshofer, C. (1988). Psychological testing: Principles and applications. Englewood Cliffs, NJ: Prentice-Hall.
  • NGSS. (2018). DCI Arrangements of the Next Generation Science Standards. Available at: https://www.nextgenscience.org/sites/default/files/NGSS%20DCI%20Combined% 2011.6.13.pdf
  • Rogers, C. & Portsmore, M. (2004). Bringing engineering to elementary school. Journal of STEM Education, 5(3), 17-28.
  • Russell, D. W. (2002). In search of underlying dimensions: The use (and abuse) of factor analysis. Personality and Social Psychology Bulletin, 28, 1629–1646. doi:10.1177/014616702237645
  • Scherer, R.F., Wiebe F.A., Luther, D. C. & Adams J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports 62(3), 763-770. PubMed PMID: 3406294. doi:10.2466/pr0.1988.62.3.763
  • SNAP (2018). SNAP Assessment for NGSS. Available at: https://snapgse.stanford.edu/snap-assessments-ngss
  • Stinson, K., Harkness, S., Meyer, H. & Stallworth, J. (2009). Mathematics and science integration: models and characterizations. School Science and Mathematics, 109(3), 153-161. doi:10.1111/j.1949- 8594.2009.tb17951.x
  • Sullivan, F. R. (2008). Robotics and science literacy: Thinking skills, science process skills and systems understanding. Journal of Research in Science Teaching, 45(3), 373–394. doi:10.1002/tea.20238
  • Tatlıdil, H. (2002). Uygulamalı çok değişkenli istatistiksel analiz [Applied multivariate statistical analysis]. Ankara: Akademi Pub.
  • Whittle, S.R., Pell, G. & MurdochEaton, D.G. (2010). Recent changes to students' perceptions of their key skills on entry to higher education. Journal of Further and Higher Education, 34(4), 557-570. doi:10.1080/0309877X.2010.512082
  • Yakman, G, (2008). STEM Education: An overview of creating a model of integrative education. Pupils Attitudes Towards Technology Annual Proceedings. Netherlands.
  • Yıldırım, B. & Selvi, M. (2017). An experimental research on effects of stem applications and mastery learning. Journal of Theory and Practice in Education, 13(2), 183-210. doi:10.17244/eku.310143
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Research Article
Yazarlar

Özgen Korkmaz Bu kişi benim

Recep Çakır Bu kişi benim

Feray Uğur Erdoğmuş Bu kişi benim

Yayımlanma Tarihi 1 Eylül 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 7 Sayı: 2

Kaynak Göster

APA Korkmaz, Ö., Çakır, R., & Erdoğmuş, F. . U. (2020). A validity and reliability study of the Basic STEM Skill Levels Perception Scale. International Journal of Psychology and Educational Studies, 7(2), 111-121. https://doi.org/10.17220/ijpes.2020.02.010