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Journals / The Eurasia Proceedings of Educational and Social Sciences / 2026 / Volume: 4

AN INVESTIGATION OF THE FACTORS AFFECTING INNOVATION PERCEPTIONS OF MATHEMATICS, SCIENCE AND SOCIAL SCIENCES TEACHER CANDIDATES

Emin Aydın
Mehmet Ali Çorlu
Pages
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Publication Date
2016-09-01
DOI
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AI Summary & Key Takeaways

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

Results indicate that family attitude has a statistically significantly influence on innovativeness perceptions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to investigate the innovation perceptions of engineering and teacher candidates.
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Key Findings & Data:The data collection tools are the Turkish version of the Individual Innovativeness Scale (IIS), and the Domestic Factors Inventory.
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Conclusion & Impact:Results indicate that family attitude has a statistically significantly influence on innovativeness perceptions.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Engineering education · teacher education · ınnovativeness perception

Abstract

The aim of this study is to investigate the innovation perceptions of engineering and teacher candidates. The data collection tools are the Turkish version of the Individual Innovativeness Scale (IIS), and the Domestic Factors Inventory. Three factor ANOVA is the main data analysis technique. Results indicate that family attitude has a statistically significantly influence on innovativeness perceptions.

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Cite This Article

Aydın, E., Çorlu, M. A. (2016). AN INVESTIGATION OF THE FACTORS AFFECTING INNOVATION PERCEPTIONS OF MATHEMATICS, SCIENCE AND SOCIAL SCIENCES TEACHER CANDIDATES. The Eurasia Proceedings of Educational and Social Sciences, Volume: 4. https://ajindex.com/articles/1550374

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References (16)

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  2. Cohen, J., Cohen, P., West, S.G. and Aiken, L.S. (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Lawrence Erlbaum, Mahwah. Durbin, J.; Watson, G. S. (1951). "Testing for Serial Correlation in Least Squares Regression, II". Biometrika 38 (1–2): 159–179.DOI:10.1093/biomet/38.1-2.159 Huck, S.W. (2011). Reading Statistics and Research, 6th Edition. American Psychological Association Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. McGraw-Hill International Edition.
  3. Hunter, S. (2013). Out Think: How Innovative Leaders Drive Exceptional Outcomes. Wiley. Johnston, R. & Heineke, J. (1998). Exploring the Relationship between Perception and Performance: Priorities for Action, The Service Industries Journal, 18(1), 101-112 DOI:10.1080/02642069800000006 Kılıçer, K. & Odabaşı, H.F. (2010). Bireysel yenilikçilik ölçeği (BYÖ): Türkçeye uyarlama, geçerlik ve güvenirlik çalışması, Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 38, 150-164.
  4. Mathisen, G.E. & Bronnick, K.S. (2009). Creative self-efficacy: An intervention study. International Journal of Educational Research 48, 21–29
  5. Morsümbül, Ü. (2014). Hızlı Büyük Beşli Kişilik Testi Türkçe Versiyonu Geçerlilik ve Güvenirlik Çalışması. Düşünen Adam The Journal of Psychiatry and Neurological Sciences, 27:316-322. DOI: 10.5350/DAJPN2014270405 Scott, S.G., Bruce, R.A., 1994. Determinants of innovative behavior: a path model of individual innovation in the workplace.Academy of Management Journal 37 (3), 580–607.
  6. Stajkovic, A.D. & Luthans, F. (1998). Self-efficacy and work-related performance: a meta-analysis. Psychological Bulletin 124 (2), 240–261.
  7. Sung, S.Y and Choi, J.N. (2009). Do Big Five personality factors affect individual creativity? The moderating role of extrinsic motivation. Social Behavior and Personality, 37(7), 941-956.
  8. Thompson, B. (2008). Foundations of Behavioral Statistics. New Age International Pvt Ltd Publishers Wang, R. & Lin,C., 2012). Understanding innovation performance and its antecedents: A socio-cognitive model. J. Eng. Technol. Manage. 29 (2012) 210–225
  9. Azzam, A.M. (2009). Why Creativity Now? A Conversation with Sir Ken Robinson, 67(1), 22-26.
  10. Cohen, J., Cohen, P., West, S.G. and Aiken, L.S. (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Lawrence Erlbaum, Mahwah. Durbin, J.; Watson, G. S. (1951). "Testing for Serial Correlation in Least Squares Regression, II". Biometrika 38 (1–2): 159–179.DOI:10.1093/biomet/38.1-2.159 Huck, S.W. (2011). Reading Statistics and Research, 6th Edition. American Psychological Association Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. McGraw-Hill International Edition.
  11. Hunter, S. (2013). Out Think: How Innovative Leaders Drive Exceptional Outcomes. Wiley. Johnston, R. & Heineke, J. (1998). Exploring the Relationship between Perception and Performance: Priorities for Action, The Service Industries Journal, 18(1), 101-112 DOI:10.1080/02642069800000006 Kılıçer, K. & Odabaşı, H.F. (2010). Bireysel yenilikçilik ölçeği (BYÖ): Türkçeye uyarlama, geçerlik ve güvenirlik çalışması, Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 38, 150-164.
  12. Mathisen, G.E. & Bronnick, K.S. (2009). Creative self-efficacy: An intervention study. International Journal of Educational Research 48, 21–29
  13. Morsümbül, Ü. (2014). Hızlı Büyük Beşli Kişilik Testi Türkçe Versiyonu Geçerlilik ve Güvenirlik Çalışması. Düşünen Adam The Journal of Psychiatry and Neurological Sciences, 27:316-322. DOI: 10.5350/DAJPN2014270405 Scott, S.G., Bruce, R.A., 1994. Determinants of innovative behavior: a path model of individual innovation in the workplace.Academy of Management Journal 37 (3), 580–607.
  14. Stajkovic, A.D. & Luthans, F. (1998). Self-efficacy and work-related performance: a meta-analysis. Psychological Bulletin 124 (2), 240–261.
  15. Sung, S.Y and Choi, J.N. (2009). Do Big Five personality factors affect individual creativity? The moderating role of extrinsic motivation. Social Behavior and Personality, 37(7), 941-956.
  16. Thompson, B. (2008). Foundations of Behavioral Statistics. New Age International Pvt Ltd Publishers Wang, R. & Lin,C., 2012). Understanding innovation performance and its antecedents: A socio-cognitive model. J. Eng. Technol. Manage. 29 (2012) 210–225