Efficacy Scale for Teaching Science with Technology: A Validity and Reliability Study
Year 2026,
Volume: 21 Issue: 49, 204 - 234, 24.03.2026
İbrahim Serdar Kızıltepe
,
Tezcan Kartal
Abstract
It is known that the use of technology in science teaching is directly related to teachers' perceptions of efficacy. Teachers with high technological knowledge and self-efficacy can support students' learning process by providing a more effective teaching environment in their classrooms. In this context, the "Efficacy Scale for Teaching Science with Technology" aims to measure pre-service teachers' beliefs about the use of technology in science teaching. It consists of two factors: self-efficacy and outcome expectation. The scale development process was carried out rigorously and systematically. The data were collected from pre-service teachers studying in the third and fourth grades via the simple random sampling method. Exploratory and confirmatory factor analyses were performed to determine the factor structure of the measurement tool. As a result of the factor analyses, it was concluded that the measurement tool consisted of two factors. These factors are compatible with Bandura's (1997) self-efficacy framework. The research results show that the developed scale can be used to measure the efficacy beliefs (self-efficacy and outcome expectation) of pre-service teachers in teaching science with technology validly and reliably. This scale is an essential tool in assessing the efficacy beliefs of pre-service teachers regarding the use of technology in science teaching and in developing these beliefs.
Project Number
EGT.A3.24.001
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Teknoloji ile Fen Öğretimi Yeterlilik Ölçeği: Geçerlilik ve Güvenirlik Çalışması
Year 2026,
Volume: 21 Issue: 49, 204 - 234, 24.03.2026
İbrahim Serdar Kızıltepe
,
Tezcan Kartal
Abstract
Fen öğretiminde teknoloji kullanımının öğretmenlerin yeterlilik algılarıyla doğrudan ilişkili olduğu bilinmektedir. Teknolojik bilgisi ve öz yeterliği yüksek öğretmenler, sınıflarında daha etkili bir öğretim ortamı sağlayarak öğrencilerin öğrenme sürecini destekleyebilirler. Bu bağlamda, "Teknoloji ile Fen Öğretimi İçin Yeterlilik Ölçeği", öğretmen adaylarının fen öğretiminde teknoloji kullanımına ilişkin inançlarını ölçmeyi amaçlamaktadır. Ölçek geliştirme süreci titizlikle ve sistematik bir şekilde yürütülmüştür. Veriler, basit seçkisiz örnekleme yöntemi ile üçüncü ve dördüncü sınıfta öğrenim gören öğretmen adaylarından elde edilmiştir. Ölçme aracının faktör yapısını belirlemek için açımlayıcı ve doğrulayıcı faktör analizleri yapılmıştır. Faktör analizleri sonucunda ölçme aracının iki faktörden oluştuğu sonucuna varılmıştır. Bu faktörler Bandura'nın (1997) öz yeterlilik çerçevesiyle uyumludur. Araştırma sonuçları, geliştirilen ölçeğin öğretmen adaylarının teknolojiyle fen öğretiminde geçerli ve güvenilir bir şekilde yeterlilik inançlarını (öz yeterlilik ve sonuç beklentisi) ölçmek için kullanılabileceğini göstermektedir. Bu ölçek, öğretmen adaylarının fen öğretiminde teknoloji kullanımına ilişkin yeterlilik inançlarını değerlendirmede ve bu inançları geliştirmede önemli bir araçtır.
Ethical Statement
Bu çalışmada bilimsel ve etik kurallara tam olarak uyulduğunu beyan ederim. Araştırma, Kırşehir Ahi Evran Üniversitesi Fen ve Mühendislik Bilimleri Bilimsel Araştırma ve Yayın Etiği Kurulu tarafından değerlendirilmiş ve 15/03/2024 tarihli, E-51062476-204.01.07-00000619668 numaralı etik kurul onayı alınmıştır.
Supporting Institution
Kırşehir Ahi Evran Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi (BAP) Tarafından Doktora Tezi Projesi Kapsamında Desteklenmektedir.
Project Number
EGT.A3.24.001
Thanks
Bu çalışma, Kırşehir Ahi Evran Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi (BAP) tarafından desteklenen EGT.A3.24.001 numaralı doktora tezi projesi kapsamında gerçekleştirilmiştir. Sağladıkları destek için teşekkür ederiz.
References
-
Abbitt, J. T. (2011). An investigation of the relationship between self-efficacy beliefs about technology integration and technological pedagogical content knowledge (TPACK) among preservice teachers. Journal of Digital Learning in Teacher Education, 27(4), 134-143. https://doi.org/10.1080/21532974.2011.10784670
-
Aydemir, S., & Demirkan, Ö. (2024). The effect of digital material applications on preservice teachers' self-efficacy towards educational technology standards. International Journal of Educational Researchers, 15(4), 43-68. https://doi.org/10.29329/ijer.2024.1085.3
-
Annetta, L. A., Frazier, W. M., Folta, E., Holmes, S., Lamb, R., & Cheng, M. T. (2013). Science teacher efficacy and extrinsic factors toward professional development using video games in a design-based research model: The next generation of STEM learning. Journal of Science Education and Technology, 22(1), 47-61. 10.1007/s10956-012-9375-y
-
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-
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-
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-
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-
Beatty, P. C., & Willis, G. B. (2007). Research synthesis: The practice of cognitive interviewing. Public Opinion Quarterly, 71(2), 287-311. https://doi.org/10.1093/poq/nfm006
-
Bell, S. (2010). Project-based learning for the 21st century: Skills for the future. The Clearing House, 83(2), 39-43. https://doi.org/10.1080/00098650903505415
-
Bleicher, R. E. (2004). Revisiting the STEBI‐B: Measuring self‐efficacy in preservice elementary teachers. School Science and Mathematics, 104(8), 383-391. https://doi.org/10.1111/j.1949-8594.2004.tb18004.x
-
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales in health, social, and behavioral research. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
-
Browne, M.W., Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J.S. Long (Eds.), Testing Structural Equation Models (pp. 136–162), Newbury Park, CA: Sage Publications. https://doi.org/10.1177/0049124192021002
-
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-
Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245-276. https://doi.org/10.1207/s15327906mbr0102_10
-
Chiu, T. K., & Churchill, D. (2015). Exploring the characteristics of an optimal design of digital materials for concept learning in mathematics: Multimedia learning and variation theory. Computers & Education, 82, 280-291. https://doi.org/10.1016/j.compedu.2014.12.001
-
Cohen, R. J., Swerdlik, M. E., & Phillips, S. M. (1996). Psychological testing and assessment: An introduction to tests and measurement (3rd Ed.). Mayfield Publishing Co.
-
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(7), 1-9. https://doi.org/10.7275/jyj1-4868
-
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555
-
DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications (5th Ed.). Sage publications Inc.
-
Enochs, L. G., & Riggs, I. M. (1990). Further development of an elementary science teaching belief instrument: A preservice elementary scale. School Science and Mathematics, 90(8), 694706.
-
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255-284. https://doi.org/10.1080/15391523.2010.10782551
-
Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, P. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & Education, 59(2), 423-435. https://doi.org/10.1016/j.compedu.2012.02.001
-
Fabrigar, L. R., & Wegener, D. T. (2012). Exploratory factor analysis. New York: Oxford University Press.
-
Field, A. (2024). Discovering statistics using IBM SPSS statistics. SAGE Publications Ltd.
-
Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378-382. https://doi.org/10.1037/h0031619
-
Foulger, T. S., Graziano, K. J., Schmidt-Crawford, D., & Slykhuis, D. A. (2017). Teacher educator technology competencies. Journal of Technology and Teacher Education, 25(4), 413-448.
-
Fraenkel, J. R., Wallen, N. E. & Hyun, H. H. (2012). How to design and evaluate research in education (8th Ed.). McGraw-Hill.
-
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